The 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data created.
Sponsored by the IEEE Computer Society, the 16th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held in beautiful Monterey, CA, USA, on November 4-7, 2019, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
Sponsors
Technical Program
16th IEEE International Conference on Mobile Ad hoc and Smart Systems
Best Paper Award
RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
Xi Chen (Samsung Electronics, Canada); Qiao Xiang (Yale University, USA); Linghe Kong
(Shanghai Jiao Tong University, P.R. China); Xue Liu (McGill University, Canada)
November 4, 2019, Monday
8:30 – 10:00 Workshops - 1st Sessions
Vista Del Mar The First International Workshop on Machine Learning Security and Privacy: Experiences and Applications
Big Sur Ballroom Sixth National Workshop for REU Research in Networking and Systems
10:00 – 10:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
10:30 – 12:00 Workshops - 2nd Sessions
Vista Del Mar The First International Workshop on Machine Learning Security and Privacy: Experiences and Applications
Big Sur Ballroom Sixth National Workshop for REU Research in Networking and Systems
12:00 – 13:30 Lunch
Pacific Grille
13:30 – 15:00 Workshops - 3rd Sessions
Vista Del Mar IEEE International Workshop on Mobile Systems and Networks
Big Sur Ballroom Sixth National Workshop for REU Research in Networking and Systems
15:00 – 15:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
15:30 – 17:00 Workshops - 4th Sessions
Vista Del Mar IEEE International Workshop on Mobile Systems and Networks
Big Sur Ballroom Sixth National Workshop for REU Research in Networking and Systems
November 5, 2019, Tuesday
8:30 – 10:00 Keynote Speech by Prof. Archan Misra, Singapore Management University
Collaborative Machine Intelligence: Promoting Energy-Efficient IoT Sensing & Edge Analytics
Big Sur Ballroom
10:00 – 10:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
10:30 – 12:00 Session 1: Intelligent Transportation Systems
Vista del Mar
Session Chair: Prof. Zygmunt Haas
System Level Analysis for ITS-G5 and LTE-V2X Performance Comparison Pierre Roux (CEA LIST, France); Stefania Sesia (Renault Software Labs, France); Valérian Mannoni (CEA, France); Eric Perraud (Software Labs, France)
Recognizing Driver Talking Direction in Running Vehicles with a Smartphone
Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology,
P.R.
China); Alex X. Liu (Michigan State University, USA); Zeshui Li, Wei Wang and Fengmin
Zhang
(Nanjing University, P.R. China); Chao Dong (Nanjing University of Aeronautics and
Astronautics, P.R. China)
Optimizing In-motion Wireless Charging Service Efficiency for EVs: A Game Theoretic
Approach
Li Yan and Haiying Shen (University of Virginia, USA)
Challenges of Designing Computer Vision-based Pedestrian Detector for Supporting
Autonomous
Driving
Peng Sun and Azzedine Boukerche (University of Ottawa, Canada)
10:30 – 12:00 Session 2: Intelligent Transportation Systems
Presidio
Session Chair: Prof. Pramod Varshney
On Decision Making In Human-Machine Networks
Baocheng Geng and Pramod Varshney (Syracuse University, USA)
Sitara: Spectrum Measurement Goes Mobile Through Crowd-sourcing
Phillip Smith (United States, USA); Anh Luong (Carnegie Mellon University, USA); Shamik
Sarkar, Harsimran Singh, Neal Patwari and Sneha Kumar Kasera (University of Utah, USA);
Kurt
Derr and Samuel Ramirez (Idaho National Laboratory, USA)
Incentive Mechanisms for Spatio-temporal Tasks in Mobile Crowdsensing
Jia Xu and Chengcheng Guan (Nanjing University of Posts and Telecommunications, P.R.
China);
Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology,
P.R.
China); Dejun Yang (Colorado School of Mines, USA); Lijie Xu and Jianyi Kai (Nanjing
University of Posts and Telecommunications, P.R. China)
Cost-Efficient Worker Trajectory Planning Optimization in Spatial Crowdsourcing
Platforms
Ning Wang (Rowan University, USA); Jie Wu (Temple University, USA)
12:00 – 13:30 Lunch
Pacific Grille
13:30 – 15:00 Session 3: Intelligent Transportation Systems
Vista del Mar
Session Chair: Prof. Habib M. Ammari
Achieving Sensing k-Coverage Using Hexagonal Tiling: Are We Done Yet?
Habib M. Ammari (Texas A&M University-Kingsville, USA)
Towards Accurate Bit Error Simulation in Wireless Sensor Networks including Environmental
Influences
Sven Pullwitt (Technische Universität Braunschweig, Germany); Robert Hartung (TU
Braunschweig, Germany); Ulf Kulau (DSI Aerospace Technology, Germany); Lars C Wolf
(Technische Universität Braunschweig, Germany)
A BLE-based multi-gateway network infrastructure with handover support for mobile BLE
peripherals
Mathias Baert (Ghent University, Belgium); Pieterjan Camerlynck (Televic Healthcare NV,
Belgium); Pieter Crombez (Televic Health Care NV, Belgium); Jeroen Hoebeke (Ghent
University - imec, Belgium)
Multiple Resolution Bit Tracking Protocol for Continuous RFID Tag Identification
Weiping Zhu and Mingzhe Li (Wuhan University, P.R. China); Jiannong Cao (Hong Kong
Polytechnic Univ, Hong Kong); Zongjian He (University of Auckland, New Zealand); Rong
Xie
(Wuhan University, P.R. China)
13:30 – 15:00 Session 4: Intelligent Transportation Systems
Presidio
Session Chair: Prof. Chenxi Qiu
SHAD: Privacy-friendly Shared Activity Detection and Data Sharing
Feng Han, Lan Zhang, Xuanke You, Guangjing Wang and Xiang-Yang Li (University of Science
and
Technology of China, P.R. China)
A Privacy-Preserving Order Dispatch Scheme for Ride-Hailing Services
Yubin Duan (Temple University, USA); Guoju Gao and Mingjun Xiao (University of Science
and
Technology of China, P.R. China); Jie Wu (Temple University, USA)
FDTLS: Supporting DTLS-based Combined Storage and Communication Security for IoT
Devices
EunSeong Boo (Ajou University, Korea); Shahid Raza (RISE Research Institutes of Sweden,
Sweden); Joel Höglund (SICS, Sweden); JeongGil Ko (Yonsei University, Korea)
Falcon - A Flexible Architecture For Accelerating Cryptography
Kevin N Kiningham (Stanford University, USA); Philip Levis (Stanford, USA); Mark
Anderson,
Maurice Shih and Mark Horowitz (Stanford University, USA); Dan Boneh (Stanford,
USA)
15:00 – 15:30 Coffee Break
Vista del Mar Pore Cochere & Presidio Foyer
15:30 – 17:00 Posters & Demos
Big Sur Ballroom
Dynamic Timer Based on Expected Link Duration in Mobile Ad Hoc Networks
Beom-Su Kim (GNU, Korea); Daniel Majengo (CNU, Korea); Ki-Il Kim (Chungnam National
University, Korea); Bongsoo Roh (Agency for Defense Development, Korea); Jae-Hyun Ham
(ADD, Korea)
Implementation of AODV-UU on Linux 4.15 Kernel
Sang-Woo Jung (CNU, Korea); Beom-Su Kim (GNU, Korea); Ki-Il Kim (Chungnam National
University, Korea); Bongsoo Roh (Agency for Defense Development, Korea); Jae-Hyun Ham
(ADD, Korea)
Offloading Tasks to Vehicular Virtual Edge Servers
Takamasa Higuchi (Toyota Motor North America R&D, USA); Seyhan Ucar and Onur Altintas
(Toyota Motor North America R&D, InfoTech Labs, USA)
Lane Change Advisory by Vehicular Micro Clouds
Seyhan Ucar (Toyota Motor North America R&D, InfoTech Labs, USA); Takamasa Higuchi
(Toyota Motor North America R&D, USA); Onur Altintas (Toyota Motor North America R&D,
InfoTech Labs, USA)
A Geo-Obfuscation Approach to Protect Worker Location Privacy in Spatial Crowdsourcing
Systems
Ce Pang, Chenxi Qiu and Ning Wang (Rowan University, USA)
Drone Noise Reduction using Deep Convolutional Autoencoder for UAV Acoustic Sensor
Networks
Chanjun Chun (Korea Institute of Civil Engineering and Building Technology, Korea);
Kwang Myung Jeon (IntFlow Co., Ltd., Korea); Taewoon Kim (Hallym University, Korea);
Wooyeol Choi (Chosun University, Korea)
RFID authentication algorithm for IoT
Ali S Rachini (Lebanese University, France)
Implementation of Low-latency Message Delivery for Serverless based Workflow
Seunghyun Hwang, Heeseock Choi and Heonchang Yu (Korea University, Korea)
Demo:Towards the Development of a Differentially Private Lightweight and Scalable
Blockchain for IoT
Abdur Rahman Bin Shahid and Niki Pissinou (Florida International University, USA);
Laurent Njilla (Air Force Research Laboratory, USA); Edwin Aguilar and Eric Perez
(Florida International University, USA)
An Experimental Study of Cellular Data Offloading in Urban and University Scenarios
Jeffrey Wang and Ning Wang (Rowan University, USA)
Performance Evaluation of Sensors Lightweight Security Mechanism
Arie Haenel (Telecom SudParis, France); Yoram Haddad (Jerusalem College of Technology,
Israel); Zonghua Zhang (IMT Lille Douai, Institut Mines-Télécom, France)
Software-based Implementation of Dual Connectivity for LTE
Carlos Pupiales (Universitat Politecnica de Catalunya, Spain); Walter Nitzold and
Clemens Felber (National Instruments, Germany); Ilker Demirkol (Universitat Politecnica
de Catalunya, Spain)
Cost-effective Crowdsensing: Spectrum Monitoring with Sitara
Phillip Smith (United States, USA); Anh Luong (Carnegie Mellon University, USA); Shamik
Sarkar, Harsimran Singh, Neal Patwari and Sneha Kumar Kasera (University of Utah, USA);
Kurt Derr and Samuel Ramirez (Idaho National Laboratory, USA)
SCoRe: Scheduling Commands and Responses for Multihop Low-power Wireless Network
Mingyu Park and Jeongyeup Paek (Chung-Ang University, Korea)
Topology Update Algorithm for Wireless Networks
Klement Streit (Bundeswehr University Munich & Research Institute CODE, Germany);
Raphael Labaca Castro (University of the Bundeswehr Munich, Germany); Nils Rodday
(Universität der Bundeswehr München & University of Twente, Germany); Gabi Dreo Rodosek
(Universität der Bundeswehr München, Germany)
17:00 – 20:00 Welcome Reception
Big Sur Ballroom
November 6, 2019, Wednesday
8:30 – 10:00 Keynote Speech by Prof. P. R. Kumar, Texas A&M University
Dynamic Watermarking for Security of Cyber-Physical Systems
Big Sur Ballroom
10:00 – 10:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
10:30 – 12:00 Session 5: Unmanned Aerial Vehicles
Vista del Mar
Session Chair: Dr. Mudhakar Srivatsa
Securing ADS-B with Multi-point Distance-bounding for UAV Collision Avoidance
Zachary Languell and Qijun Gu (Texas State University, USA)
Enabling the Mobile IoT: Wake-up Unmanned Aerial Systems for Long-lived Data
Collection
Stefano Basagni (Northeastern University, USA); Georgia Koutsandria (University of Rome,
"La
Sapienza", Italy); Chiara Petrioli (University of Rome "La Sapienza", Italy)
AirBeam: Experimental Demonstration of Distributed Beamforming by a Swarm of UAVs
Subhramoy Mohanti, Carlos Bocanegra and Jason Meyer (Northeastern University, USA);
Gokhan
Secinti (Istanbul Technical University, Turkey); Mithun Diddi, Hanumant Singh and
Kaushik
Chowdhury (Northeastern University, USA)
Evaluating LTE Coverage and Quality from an Unmanned Aircraft System
Michael Nekrasov (University of California Santa Barbara, USA); Vivek Adarsh, Udit Paul
and
Esther Showalter (UC Santa Barbara, USA); Ellen Zegura (Georgia Institute of Technology,
USA); Morgan Vigil-Hayes (Northern Arizona University, USA); Elizabeth Belding
(University
of California, Santa Barbara, USA)
10:30 – 12:00 Session 6: Channel Access
Presidio
Session Chair: Prof. J. J. Garcia-Luna-Aceves
KALOHA: ike i ke ALOHA
JJ Garcia-Luna-Aceves (University of California at Santa Cruz & Palo Alto Research
Center, USA)
Improving Carrier-Sense Multiple Access Using Cues of Channel Utilization
JJ Garcia-Luna-Aceves (University of California at Santa Cruz & Palo Alto Research
Center, USA)
Cross-Technology Clear Channel Assessment for Low-Power Wide Area Networks
Charalampos Orfanidis (KTH Royal Institute of Technology & Uppsala University, Sweden);
Laura Marie Feeney (Uppsala University, Sweden); Martin Jacobsson (KTH Royal Institute
of Technology & Uppsala University, Sweden); Per Gunningberg (Uppsala University,
Sweden)
AWARE: Adaptive Wi-Fi Power Save Operation Coexisting with LTE-U
Hwijae Kwon (TmaxSoft, Korea); Seongwon Kim (SK Telecom, Korea); Youngwook Son and
Changmok Yang (Seoul National University, Korea); Seongho Byeon (Samsung, Korea);
Sunghyun Choi (Seoul National University, Korea)
12:00 – 13:30 Lunch
Pacific Grille
13:30 – 15:00 Session 7: Internet of Things
Vista del Mar
Session Chair: Prof. Stefano Basagni
GaaS: Adaptive Cross-Platform Gateway for IoT Applications
Mohamed Abdelaal, Mochamad Dandy, Marwan Abdelgawad, Frank Dürr and Kurt Rothermel
(University of Stuttgart, Germany)
rIoT: Enabling Seamless Context-Aware Automation in the Internet of Things
Jie Hua, Chenguang Liu and Tomasz Kalbarczyk (University of Texas at Austin, USA);
Catherine Wright and Gruia-Catalin Roman (University of New Mexico, USA); Christine
Julien (University of Texas at Austin, USA)
ForeSee: A Cross-layer Vulnerability Detection Framework for the Internet of
Things
Zheng Fang, Hao Fu and Tianbo Gu (University of California, Davis, USA); Zhiyun Qian
(University of California, Riverside, USA); Trent Jaeger (PSU, USA); Prasant Mohapatra
(University of California, Davis, USA)
Congestion-Tolerant Framework for IoT Applications
Zygmunt J. Haas and Zijing Tian (University of Texas at Dallas, USA)
13:30 – 15:00 Session 8: Deep Learning
Presidio
Session Chair: Prof. Qijun Gu
Towards Wireless Environment Cognizance by Incremental Learning
Aniqua Baset (University of Utah, USA); Christopher Becker (Idaho National Laboratory &
University of Utah, USA); Kurt Derr and Samuel Ramirez (Idaho National Laboratory, USA);
Sneha Kumar Kasera and Aditya Bhaskara (University of Utah, USA)
Evaluating and Boosting Reinforcement Learning for Intra-domain Routing
Qian Xu and Yifan Zhang (City University of Hong Kong, Hong Kong); Kui Wu (University of
Victoria, Canada); Jianping Wang (City University of Hong Kong, Hong Kong); Kejie Lu
(University of Puerto Rico at Mayaguez, Puerto Rico)
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and
Robustness
Ling Liu, Wenqi Wei and Ka-Ho Chow (Georgia Institute of Technology, USA); Margaret
Loper (Georgia Tech Research Institute, USA); Emre Gursoy, Stacey Truex and Yanzhao Wu
(Georgia Institute of Technology, USA)
Using Graphical Models as Explanations in Deep Neural Networks
Mudhakar Srivatsa (IBM T.J. Watson Research Center, USA); Franck Le (IBM T. J. Watson,
USA); Krishna Reddy and Kaushik Roy (Purdue University, USA)
15:00 – 15:30 Coffee Break
Vista del Mar Pore Cochere & Presidio Foyer
15:30 – 17:00 Invited Talk by Dr. Micah D. Beck, NSF, USA
Part I: "NSF Funding Opportunities in Advanced Cyberinfrastructure"
Part II: "Exposed Buffer Processing: Spanning the Continuum from HPC to Edge"
Presidio
18:00 – 20:00 Gala Dinner
Big Sur Ballroom
November 7, 2019, Thursday
8:30 – 10:00 Keynote Speech by Prof. Ramesh Govindan, University of Southern California
Living at the Edge: Designing Accurate and Efficient Visual Sensing Systems
Big Sur Ballroom
10:00 – 10:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
10:30 – 12:00 Session 9: Edge, Proxies, Relays
Vista del Mar
Session Chair: Prof. Myounggyu Won
Privacy-Preserving MEC-Enabled Contextual Online Learning via SDN for Service Selection
in IoT
Difan Mu and Pan Zhou (Huazhong University of Science and Technology, P.R. China);
Qinghua Li (University of Arkansas, USA); Ruixuan Li (Huazhong University of Science and
Technology, P.R. China); Jie Xu (University of Miami, USA)
Energy-Latency-aware Task Offloading and Approximate Computing at the Mobile
Edge
Ayman Younis, Tuyen X Tran and Dario Pompili (Rutgers University, USA)
QoS Provisioning in 60 GHz Communications by Physical and Transport Layer
Coordination
Matteo Drago and Michele Polese (University of Padova, Italy); Stepan Kucera (Bell Labs,
Alcatel-Lucent Ltd., Ireland); Dmitry Kozlov and Vitalii Kirillov (Nokia Bell Labs,
Ireland); Michele Zorzi (University of Padova, Italy)
EV-CAST: Interference and Energy-Aware Video Multicast Exploiting Collaborative
Relays
Yeonchul Shin (Samsung Electronics, Korea); Jaewon Hur and Gyujin Lee (Seoul National
University, Korea); Jonghoe Koo (Samsung Electronics, Korea); Junyoung Choi (Seoul
National University, Korea); Sung-Ju Lee (KAIST, Korea); Sunghyun Choi (Seoul National
University, Korea)
10:30 – 12:00 Session 10: Opportunistic, Disruptive, and Challenging Networks
Big Sur Ballroom
Session Chair: Prof. Tilman Wolf
Bio-DRN: Robust and Energy-efficient Bio-inspired Disaster Response Networks
Vijay K. Shah (Virginia Tech, USA); Satyaki Roy (Missouri University of Science and
Technology, USA); Simone Silvestri (University of Kentucky, USA); Sajal K. Das (Missouri
University of Science and Technology, USA)
Mobile Energy Balancing in Heterogeneous Opportunistic Networks
Aashish Dhungana and Eyuphan Bulut (Virginia Commonwealth University, USA)
Identifying User Communities Using Deep Learning and Its Application to Opportunistic
Networking
Danielle Lopes Ferreira (UCSC, USA); Cláudio Souza (Federal University of the State of
Rio de Janeiro, Brazil); Katia Obraczka (University of California, Santa Cruz, USA);
Carlos Alberto Vieira Campos (Federal University of the State of Rio de Janeiro,
Brazil)
Age of Information for Wireless Energy Harvesting Secondary Users in Cognitive Radio
Networks
Shiyang Leng (The Pennsylvania State University, USA); Xiaoyong Ni (University of
Electronic Science and Technology of China);Aylin Yener (Pennsylvania State
University, USA)
12:00 – 13:30 Lunch
Pacific Grille
13:30 – 15:00 Session 11: Systems & Applications
Vista del Mar
Session Chair: Prof. Ning Wang
Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyber-physical
Systems
Sanjeev Sondur and Krishna Kant (Temple University, USA); Slobodan Vucetic (Vucetic,
USA)
DeepHeart: Accurate Heart Rate Estimation from PPG Signals based on Deep
Learning
Xiangmao Chang and Gangkai Li (Nanjing University of Aeronautics and Astronautics, P.R.
China); Linlin Tu (Michigan State University, USA); Guoliang Xing (The Chinese
University of Hong Kong, Hong Kong); Tian Hao (IBM T. J. Watson Research Center,
USA)
UW-SVC: Scalable Video Coding Transmission for In-network Underwater Imagery
Analysis
Mehdi Rahmati and Dario Pompili (Rutgers University, USA)
QBT: Queue-size based Busy Tones for Protecting Multihop Low-power Networks
Jinwoo Ock (Seoul National University, Korea); Jeongyeup Paek (Chung-Ang University,
Korea); Saewoong Bahk (Seoul National University, Korea)
13:30 – 15:00 Session 12: Algorithms and Theory
Big Sur Ballroom
Session Chair: Prof. Marcelo Carvalho
Multicast Scheduling Algorithms for Battery-Free Wireless Sensor Networks
Bingkun Yao (Harbin Institude of Technology, P.R. China); Hong Gao (University of Harbin
Institute Technology, P.R. China); Jianzhong Li (Harbin Institute of Technology, P.R.
China)
Facility Location Strategy for Minimizing Cost in Edge-Based Mobile Crowdsensing
En Wang, Dongming Luan and Yongjian Yang (Jilin University, P.R. China); Jie Wu (Temple
University, USA)
Liam: An Architectural Framework for Decentralized IoT Networks
Piet De Vaere (ETH Zürich, Switzerland); Adrian Perrig (ETH Zurich Switzerland &
Carnegie Mellon University, USA)
Distributed Dataset Synchronization in Disruptive Networks
Tianxiang Li and Zhaoning Kong (University of California, Los Angeles, USA); Spyridon
Mastorakis (University of Nebraska, Omaha, USA); Lixia Zhang (University of California
at Los Angeles, USA)
15:00 – 15:30 Coffee Break
Big Sur Ballroom & Vista del Mar Pore Cochere
15:30 – 17:00 Session 13: Localization and Prediction
Vista del Mar
Session Chair: Prof. Krishna Kant, Temple University
RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
Xi Chen (Samsung Electronics, Canada); Qiao Xiang (Yale University, USA); Linghe Kong
(Shanghai Jiao Tong University, P.R. China); Xue Liu (McGill University, Canada)
Device-Free Acoustic Motion Tracking over Targets with Large Sizes
Yuqi Li, Ruirong Chen, Xingzhe Song and Wei Gao (University of Pittsburgh, USA); Wei
Chen and Erick Forno (Children's Hospital of Pittsburgh, USA)
Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and
Forecasting
Noman Bashir (University of Massachusetts Amherst, USA); Dong Chen (Florida
International University, USA); David Irwin and Prashant Shenoy (University of
Massachusetts, Amherst, USA)
15:30 – 17:00 Session 14: Monitoring and Detection
Big Sur Ballroom
Session Chair: Prof. Dario Pompili
Securing IoT Protocol Implementations Through Hardware Monitoring
Arman Pouraghily (University of Massachusetts, Amherst, USA); Tilman Wolf (University of
Massachusetts, USA)
DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning
Myounggyu Won (University of Memphis, USA); Sayan Sahu (South Dakota State University,
USA); Kyung-Joon Park (DGIST, Korea)
LAD: Learning Access Control Polices and Detecting Access Anomalies in Smart
Environments
Tomasz Kalbarczyk, Chenguang Liu, Jie Hua and Christine Julien (University of Texas at
Austin, USA)
AMAZE: Recognizing Speakers with Amazon's Echo Dot Device
Tiffany Kalin (Colorado School of Mines), Kerri Stone (LGS Labs), and Tracy Camp
(Colorado School of Mines)
18:00 – 20:00 Closing Remarks and Conference Adjournment
Big Sur Ballroom
Important Dates
Call for Demos & Posters
- (EXTENDED) Abstract submission:
August 09, 2019September 17, 2019 (Anywhere on Earth)
- (EXTENDED) Acceptance notification:
August 23, 2019October 4, 2019
- (EXTENDED) Camera-ready version:
August 30, 2019October 15, 2019 (Firm Deadline)
Call for Papers
- (EXTENDED) Abstract Submission:
April 30, 2019May 31, 2019 (Anywhere on Earth)
- (EXTENDED) Paper Submission:
May 15, 2019May 31, 2019 (Anywhere on Earth)
- (EXTENDED) Notification of Acceptance:
August 1, 2019August 4, 2019
- Camera-ready version: August 30, 2019
- Conference dates: November 4 - 7, 2019
Call for Workshop Proposals
- (EXTENDED) Proposal Submission:
April 30, 2019May 15, 2019 (Anywhere on Earth) - (EXTENDED) Notification:
May 15, 2019May 22, 2019
Keynote Speechers
Collaborative Machine Intelligence: Promoting Energy-Efficient IoT Sensing &Edge Analytics
Abstract
To support real-time &sustainable machine intelligence that exploits the rapid growth in sensor deploymentsin urban spaces (e.g., video, audio) and on wearable devices (e.g., inertial, radar), there is a need to optimize the execution of machine learning (ML) pipelines on resource-constrained embedded devices. To this end, this talkshall describe the vision of collaborative machine intelligence, where the sensing and inferencing pipelines on individual wearable and IoT devices collaborate, in real-time, to overcome such resource limitations. First, I will describe work on tightly coordinated IoT+ wearable sensing, which allows the ultra-low power (even battery-less) capture of fine-grained human gestural activities in various environments (e.g., in offices and in gyms) by combining IoT sensors &wearable devices. Second, using a sample video surveillance application, I will describe how IoT-based collaborative machine inferencingcan provide dramatic reductions in energy and latency, as well as improvements in accuracy. To practically realize this vision, I shall finally argue why edge computing needs to evolve, from its current focus on pure local computation offloading to a ``Cognitive Edge” platform that enables such collaborative and trusted sense-making across heterogeneous pervasive devices.
Bio
Archan Misra is Professor, and the Associate Dean of Research, in the School of Information Systems at Singapore Management University (SMU). He is the Director of SMU’s Center for Applied Smart-Nation Analytics (CASA), which is developing pervasive technologies for smart city infrastructure and applications.Archan has led a number of multi-million dollar, large-scale research initiatives at SMU, including the LiveLabs research center, and is a recent recipient of the prestigious Investigator grant (from Singapore’s National Research Foundation) for sustainable man-machine interaction intelligence. Over a 20+ year research career spanning both academics and industry (at IBM Research and Bellcore), Archan has published on, and practically deployed, technologies spanning wireless networking, mobile &wearable sensing and urban mobility analytics. His current research interests lie in ultra-low energy execution of machine intelligence algorithms using wearable and IoT devices. Archan holds a Ph.D. from the University of Maryland at College Park, and chaired the IEEE Computer Society's Technical Committee on Computer Communications (TCCC) from 2005-2007.
Dynamic Watermarking for Security of Cyber-Physical Systems
Abstract
The coming decades may see the large scale deployment of networked cyber–physical systems to address global needs in areas such as energy, water, health care, and transportation. However, as recent events have shown, such systems are vulnerable to cyber attacks. We begin by revisiting classical linear systems theory, developed in more innocent times, from a security-conscious, even paranoid, viewpoint. Then we present a general technique, called "dynamic watermarking," for detecting any sort of malicious activity in networked systems of sensors and actuators. We present a field test on an automobile, experimental demonstration of this technique on an automobile on a test track, an experimental process control system, and a simulation study of defense against an attack on Automatic Gain Control (AGC) in a synthetic four area power system.
[Joint work with Bharadwaj Satchidanandan, Jaewon Kim, Woo Hyun Ko, Tong Huang, Gopal Kamath, Lantian Shangguan, Kenny Chour, Le Xie, and Swaminathan Gopalswamy].
Bio
P. R. Kumar’s current focus includes Cyber-physical Systems, Security, Privacy, Unmanned Aerial System Traffic Management, 5G, Wireless Networks, Machine Learning, and Power Systems. Hestudied at IIT Madras and Washington Univ., St. Louis.He servedinthe Math DeptatUMBC (1977-84), and ECEand CSL atUIUC(1985-2011). He is currently atTexas A&M Univ., where he is a University Distinguished Professor, a Regents Professor,and holds the College of Engineering Chair in Computer Engg. He is a member of the U.S. NAE, The World Academy of Sciences, and Indian NAE. He was awarded a Doctor Honoris Causa by ETH. He received the IEEE Field Award for Control Systems, Eckman Award of AACC, Ellersick Prize of IEEE ComSoc, Outstanding Contribution Award of ACM SIGMOBILE, Infocom Achievement Award, and SIGMOBILE Test-of-Time Paper Award. He is a Fellow of IEEE and ACM. He is a Gandhi Distinguished Visiting Professor at IIT Bombay, a Honorary Professor at IIT Hyderabad, andwas Leader of a Guest Chair Professor Group at Tsinghua Univ., He was awarded a Distinguished Alumnus Award from IIT Madras, Alumni Achievement Award from WashU, and Drucker Eminent Faculty Award from UIUC.
Living at the Edge: Designing Accurate and Efficient Visual Sensing Systems
Abstract
Semantically-rich visual information, generated by surveillance cameras or those on mobile devices, as well as by 3D sensors that provide depth perception (like LiDAR and stereo-cameras), is available aplenty at the network's edge. However, these sensors have limited communication bandwidth to the rest of the network, and sometimes limited on-board compute. This talk will cover experiences drawn from, and draw out common design patterns that arise in, designing systems that overcome these challenges to realize a range of interesting capabilities: extended vehicular vision, real-time visual map updates, cross-camera complex activity detection, and visual analytics in retail settings.
Bio
Ramesh Govindan is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California. He received his B. Tech. degree from the Indian Institute of Technology at Madras, and his M.S. and Ph.D. degrees from the University of California at Berkeley. His research interests include routing and measurements in large internets, networked sensing systems, and mobile computing systems.
Part I: "NSF Funding Opportunities in Advanced Cyberinfrastructure"
Part II: "Exposed Buffer Processing: Spanning the Continuum from HPC to Edge"
Abstract
In every form of digital store-and-forward communication, intermediate forwarding nodes are computers, with attendant memory and processing resources. For more than 30 years this has stimulated efforts to create a wide-area infrastructure that goes beyond simple forwarding to create a platform that makes more general and varied use of increasingly powerful and plentiful node resources. There have been analogous pressures toward active and networked storage, processor-in-memory and streaming processors. There is a widespread consensus that it should be possible to define and deploy a converged wide-area platform that combine these silos seamlessly and universally. However a great deal of investment in research prototypes has yet to produce a credible candidate architecture. Drawing on design analysis, historical examples, and case studies, this talk presents an argument for the hypothesis that in order to realize a distributed system with the kind of convergent generality and deployment scalability that might qualify as "future-defining," we must build it from a small set of simple, generic, and limited abstractions of the low level resources (processing, storage and network) of its constituent nodes. The common building block out of which these silos are constructed are storage or memory buffers/blocks and a set of primitive allocation and processing operations on them.
Bio
Micah Beck began his research career in distributed operating systems at Bell Laboratories and received his Ph.D. in Computer Science from Cornell University (1992) in the area of parallelizing compilers. He then joined the faculty of the Computer Science Department at the University of Tennessee, where he is currently an Associate Professor working in distributed high performance computing, networking and storage.
IEEE MASS 2019
Monterey, CA, USA
November 4 - 7, 2019
Venue: The Hilton Garden Inn Monterey
Overview
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data created. Sponsored by the IEEE Computer Society, the 16th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held in beautiful Monterey, CA, USA, on November 4-7, 2019, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
Keynote Speakers
- Prof. Archan Misra (Singapore Management University)
- Prof. P.R. Kumar (Texas A&M University)
- Prof. Ramesh Govindan (University of Southern California)
Highlights
14 Technical sessions
55 full paper presentations
17 posters & demos
1 Panel
2 Social Events: welcome reception & gala dinner
3 Workshops:
• The First International Workshop on Machine Learning Security and Privacy: Experiences and Applications
https://sites.google.com/view/wisecml
• IEEE International Workshop on Mobile Systems and Networks
https://sites.google.com/sju.edu/iwmsn2019/
• The Sixth National Workshop for REU Research in Networking and Systems
https://sites.google.com/view/reuns2019/
Follow IEEE MASS 2019 on Twitter: https://twitter.com/2019Mass
Organizing Committee
General Chair
- Tarek Abdelzaher, University of Illinois at Urbana-Champaign, USA
Program Chairs
- Haiying Shen, University of Virginia, USA
- Marcelo M. Carvalho, University of Brasília, Brazil
Track Chairs
- Ravi Prakash, University of Texas at Dallas, USA
- Dario Pompili, Rutgers University, USA
- Shiwen Mao, Auburn University, USA
- Walid Saad, Virginia Tech, USA
- Octav Chipara, The University of Iowa, USA
- Desheng Zhang, Rutgers University, USA
- Falko Dressler, Paderborn University, Germany
- Kang Chen, Southern Illinois University, USA
- Mooi Choo Chuah, Lehigh University, USA
- Wenye Wang, North Carolina State University, USA
- Sajal Das, Missouri University of Science and Technology, USA
- Fan Wu, Shanghai Jiao Tong University, China
- Xinbing Wang, Shanghai Jiao Tong University, China
- Ilker Demirkol, Universitat Politècnica de Catalunya, Spain
- Marcos A.M. Vieira, Federal University of Minas Gerais, Brazil
- Chenxi Qiu, Rowan University, USA
- Zhuozhao Li, University of Chicago, USA
- Rolando Menchaca-Mendez, National Polytechnic Institute, Mexico
- Shuhui Yang, Purdue University Northwest, USA
- Dajin Wang, Montclair State University, USA
- Chen Qian, University of California Santa Cruz, USA
- Henrique D. Garcia, University of Brasília, Brazil
- Dharma P. Agrawal, University of Cincinnati,USA
- Jie Wu, Temple University, USA
- Kang G. Shin, University of Michigan, USA
- J. J. Garcia-Luna-Aceves, University of California Santa Cruz, USA
Important Dates
(EXTENDED) Abstract Submission: April 30, 2019 May
31, 2019 (Anywhere on Earth)
(EXTENDED) Paper Submission: May 15, 2019 May
31, 2019 (Anywhere on Earth)
(EXTENDED) Notification of Acceptance: August 1, 2019 August 4, 2019
Camera-ready version: Aug 30, 2019
Conference dates: November 4 - 7, 2019
Call for Papers
IEEE MASS 2019 is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. As wireless ad-hoc networks continue to evolve and specialize into a number of application scenarios and environments, and sensor-based systems and technologies increasingly permeate our everyday life and become the inner fabric of the Internet of Things and cyber-physical systems, the unfolding of smart environments such as smart cities, smart farming, smart healthcare, and smart manufacturing, to name a few, demand integrated solutions that can make intelligent use of both cloud and edge systems, while applying machine learning and artificial intelligence tools to handle their growing complexity and to leverage the vast amount of available data.
Sponsored by the IEEE Computer Society, the 16th edition of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held in beautiful Monterey, CA, USA, on November 4-7, 2019, and it aims at bringing together researchers, developers, and practitioners to address recent advances in mobile ad-hoc and smart systems, covering algorithms, theory, protocols, systems & applications, experimental evaluations and testbeds, security/privacy, as well as AI/ML-based smart design.
Topics of interest
Original, unpublished contributions are solicited in all aspects of mobile ad hoc networks (MANETs) and smart systems, from mobile networking/computing to cyber-physical systems to Internet of Things, from theory to systems and applications. Topics of interest include, but are not limited to:
- 5G networks and technologies
- AI/ML for smart wireless networks
- AI and machine learning aided protocol design and resource allocation
- AI and machine learning based applications for ad hoc networks
- Algorithms for MANETs and WSNs
- Application Layer Protocols
- Clustering, topology control, coverage, and connectivity
- Cognitive networking
- Cooperative and cognitive communication
- Cooperative sensing, compressive sensing, sensing from communications
- Cloud, crowd-sourced, participatory and (mobile) social sensing
- Cyber-physical systems and applications
- Data gathering, fusion, and dissemination
- Energy-efficient architectures, algorithms, and protocols
- Experiences in real-world applications and deployments
- Flying Ad-Hoc Networks
- Free-space optical networks
- Heterogeneous networks
- Internet of Things (IoT) devices, gateways, and infrastructure
- Light-weight distrib
- Localization and Location Based Services
- Measurements, experimental systems and test-beds
- Mobile computing and networking
- mmWave and Terahertz networks
- Mobility modeling and management
- Multi-channel, multi-radio and MIMO technologies
- Network components, operating systems, and middleware
- Opportunistic networking, delay tolerant networking
- QoS and Resource management
- Robotic networks
- Routing protocols
- Scalability, stability, and robustness of networks and sensor systems
- Security and privacy at all layers, including the physical layer
- Sensor enabled drone, UAV, UUV systems
- Smart grid, healthcare, transportation applications
- Vehicular networks and protocols
- Visible light communications
- Wearable and human-centric devices and networks
Paper Submission Instructions
Authors are invited to submit original, unpublished research papers that are not currently under review elsewhere. All submissions should be written in English with a maximum length of 9 single-spaced, double-column pages using 10pt fonts on 8.5 x 11 inch paper, including all figures, tables, and references, in PDF format. Authors must use the Manuscript Templates for IEEE Conference Proceedings. IEEE MASS adopts single-blind review (i.e., the authors' names and affiliations must appear in the submitted paper). Accepted papers will appear in the conference proceedings published by IEEE and will be presented at the conference. Based on TPC reviews and discussions, some papers may be accepted as 5-page short papers, in addition to the regular 9 page papers.
No more than two (2) additional pages may be included in the camera-ready accepted paper, and the extra pages will incur an over length page charge of USD150. For all papers, IEEE reserves the right to exclude the paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference. Note that the conference will also include a poster and demo session.
Important Dates
(EXTENDED) Abstract submission: August 09, 2019 September 17, 2019 (Anywhere on Earth)
(EXTENDED) Acceptance notification: August 23, 2019 October 4, 2019
(EXTENDED) Camera-ready version: August 30, 2019 October 15, 2019 (Firm Deadline)
Call for Demos
IEEE MASS 2019 will feature a demo session that provides a forum for mobile ad-hoc and smart systems researchers and developers from academia, industry, and government to interact with and explore the latest research results. Towards this goal, IEEE MASS 2019 solicits demonstrations presenting recent original results or ongoing research. Authors are invited to submit interesting results on all aspects of ad hoc and smart systems, including algorithms, protocols, applications, new research prototypes, testbeds, among others. Demonstrations allow a one-to-one interaction with attendees and authors, where the benefits of the proposed research can be practically highlighted, thereby enhancing its impact.
Submission Instructions
Demonstration abstracts of no more than 2 pages (US letter size 8.5 x 11 inches) using font size 10 should be submitted via EDAS (https://edas.info/newPaper.php?c=25849). This extended abstract should include a figure of the system that shall eventually be demonstrated to the audience. Authors are allowed up to one additional page for listing any specific requirements (such as space, general purpose WiFi, non interfering wireless channels, power supply needs) and the organizers will earnestly look into arranging this support. Please include names of the authors, affiliations and e-mail addresses in the abstract. The authors with accepted demos are allowed to display a poster for presentation (additional details on the poster dimensions will be provided closer to the submission deadline). The accepted demo abstracts will be published in IEEE Xplore.
Call for Poster
Posters presenting early work and preliminary results are solicited. The poster session will provide an excellent opportunity for initial feedback on early research results as lively discussions. Posters are solicited in all areas of mobile ad hoc and sensor networking, and this session will be particularly useful for student researchers for direct interaction with faculty, industry personnel, and other peers.
Submission Instructions
Poster abstracts of no more than 2 pages (US letter size 8.5 x 11 inches) using font size 10 should be submitted via EDAS (https://edas.info/newPaper.php?c=25849). This extended abstract should include all figures and references, the names of the authors, affiliations, and e-mail addresses. The accepted poster abstracts will be published in IEEE Xplore. The authors with accepted abstracts are required to prepare a poster for presentation at the conference in a standard format, whose dimensions will be indicated closer to the submission deadline. Boards and thumbtacks will be provided.
Registration
The deadline for advanced registration is August 30, 2019. Please read the policy and determine your registration type before you process any payment. If you have any questions or concerns, please feel free to e-mail MASS2019Reg@gmail.com.
Rates
Type | Early Rate | Late Rate (on or after Aug. 31) |
Includes |
---|---|---|---|
IEEE member | $700 | $850 | Proceedings, Lunches, Reception, Banquet, Souvenir |
Non-member | $850 | $1050 | Proceedings, Lunches, Reception, Banquet, Souvenir |
Student Member | $450 | $500 | Proceedings, Lunches, Reception, Banquet, Souvenir |
Student Non-member | $550 | $600 | Proceedings, Lunches, Reception, Banquet, Souvenir |
Workshop IEEE member | $430 | $430 | Proceedings, Lunches, Souvenir |
Workshop Non-member | $520 | $520 | Proceedings, Lunches, Souvenir |
Workshop Student Member | $300 | $300 | Proceedings, Lunches, Souvenir |
Workshop Student Non-member | $400 | $400 | Proceedings, Lunches, Souvenir |
Visa
Visa support letter will be provided to authors with accepted papers, after registration. please email conference chair Professor Tarek Abdelzaher at zaher@illinois.edu, for it. Your request for support letter should include your registration information, your name as it appears on your passport, mailing address, the title of any paper accepted (or the reason for attending), and email address of where we can send this letter.
Policy
- Early registration date for workshop and poster/demo: Oct. 15. 2019.
- At least one author of an accepted conference paper must register at the full rate by August 30, 2019. The student discount cannot be applied to meet the registration requirement for accepted papers. An author with multiple accepted conference paper can have the discounted rate of $450 for each additional paper. Please email MASS2019Reg@gmail.com to obtain the discount code to register for your any additional papers. Please provide the accepted paper EDAS ID and title during registration.
- Member registration rates are available for professional members of IEEE.
- MASS has a special one-day registration for workshops. This registration is only for the day of the events. At least one author of an accepted workshop paper must register at the full workshop rate by Oct. 15, 2019. The student discount cannot be applied to meet the registration requirement for accepted workshop papers. Workshop paper authors may register at the full conference rate to access the whole conference. Please provide the accepted paper ID and title during registration.
- MASS has a student poster/demo session. Authors may register at the student rate to attend the conference by Oct. 15, 2019. Please provide the accepted abstract ID and title during registration.
- Guests of the conference attendees may purchase extra banquet tickets at a cost of $80 each.
- Extra pages can be purchased for workshop papers and poster/demo abstract at a cost of $125 each, up to two pages.
- Registration can be canceled on or before September 30. 2019. There will be an administrative fee of $100 deducted from each refund. Please email MASS2019Reg@gmail.com for it.
Important Dates
- (EXTENDED) Proposal Submission:
April 30, 2019May 15, 2019 (Anywhere on Earth) - (EXTENDED) Notification:
May 15, 2019May 22, 2019
Call for Workshop Proposals
The 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS 2019) is the meeting point for leading researchers in the thriving area of wireless ad hoc communications, sensor, and actuator networks. Topics of IEEE MASS cover a large range of scientific areas, spanning topics from computer science, physics, embedded systems, electrical engineering, control theory, as well as application areas such as disaster recovery and rescue operations, environmental monitoring, smart cities, smart grids, health applications, and many more.
Continuing this tradition, the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) will be held in Monterey, CA, USA, on Nov. 4-7, 2019. Since its very beginning in 2004, MASS also offers a range of associated workshops, which cover special topics and applications in wireless ad hoc and sensor networks. During the last years, up to ten workshops have been held each year in conjunction with MASS, with some of the workshops already having seen their seventh edition. Each workshop will provide an arena for presentations and discussions about a special topic of relevance to MASS. IEEE MASS 2019 now invites the submission of workshop proposals.
Workshop Submission Instructions
Proposals should be submitted in a maximum 3-page PDF file, containing the following information:
- Workshop title
- Abstract (maximum 200 words)
- The topics of the workshop and how it relates to MASS
- Workshop organizers, including contact information, short bio, affiliation and previous experience with organising scientific events
- Proposed Technical Program Committee (tentative)
- Planned review procedures
- Planned format:
- Expected duration of the workshop (half-day or full-day)
- Keynotes, panels, invited presentations, submitted presentations, etc.)
- Equipment and space requirements
- A rough estimate of the number of participants and their profile
- Information on previous editions (hosting conference, date, and number of attendees), if any.
The tentative calendar of the workshops is:
- Paper Submission Deadline: July 23, 2019
- Notification of Acceptance: August 23, 2019
- Camera-ready version: August 30, 2019 (Firm deadline)
The proposals should be sent to the MASS 2019 workshop chairs, Xinbing Wang and Ilker Demirkol, at: xwang8@sjtu.edu.cn, ilker.demirkol@entel.upc.edu, with the email subject tag [MASS 2019 Workshop Proposal].
Workshops
The First International Workshop on Machine Learning Security and Privacy: Experiences and Applications
Webpage: https://sites.google.com/view/wisecml
Important Dates
- Paper Submission Deadline:
August 20, 2019September 16, 2019 - Notification of Acceptance:
August 27, 2019October 4, 2019 - Camera-ready version:
August 30, 2019October 15, 2019
The Sixth National Workshop for REU Research in Networking and Systems
Webpage: https://sites.google.com/view/reuns2019/
Important Dates
- Paper Submission Deadline:
August 20, 2019September 16, 2019 - Notification of Acceptance:
August 27, 2019October 4, 2019 - Camera-ready version:
August 30, 2019October 22, 2019
IEEE International Workshop on Mobile Systems and Networks
Webpage: https://sites.google.com/sju.edu/iwmsn2019/
Important Dates
- Paper Submission Deadline:
August 20, 2019September 16, 2019 - Notification of Acceptance:
August 27, 2019October 4, 2019 - Camera-ready version:
August 30, 2019October 22, 2019
Organizing Committee
General Chair
- Tarek Abdelzaher, University of Illinois at Urbana-Champaign, USA
Program Chairs
- Haiying Shen, University of Virginia, USA
- Marcelo M. Carvalho, University of Brasília, Brazil
Track Chairs
Algorithms and Theory
- Ravi Prakash, University of Texas at Dallas, USA
- Dario Pompili, Rutgers University, USA
Protocols and Cross-Layer Technologies
- Shiwen Mao, Auburn University, USA
- Walid Saad, Virginia Tech, USA
Systems and Applications
- Octav Chipara, The University of Iowa, USA
- Desheng Zhang, Rutgers University, USA
Experimental Evaluation and Testbeds
- Falko Dressler, Paderborn University, Germany
- Kang Chen, Southern Illinois University, USA
Security and privacy
- Mooi Choo Chuah, Lehigh University, USA
- Wenye Wang, North Carolina State University, USA
Artificial Intelligence/Machine Learning-based Smart Design
- Sajal Das, Missouri University of Science and Technology, USA
- Fan Wu, Shanghai Jiao Tong University, China
Workshop Chairs
- Xinbing Wang, Shanghai Jiao Tong University, China
- Ilker Demirkol, Universitat Politècnica de Catalunya, Spain
Posters and Demos Chairs
- Marcos A.M. Vieira, Federal University of Minas Gerais, Brazil
- Chenxi Qiu, Rowan University, USA
Publicity Chairs
- Zhuozhao Li, University of Chicago, USA
- Rolando Menchaca-Mendez, National Polytechnic Institute, Mexico
Finance/Registration Chair
- Shuhui Yang, Purdue University Northwest, USA
Publication Chair
- Dajin Wang, Montclair State University, USA
Local Arrangements
- Chen Qian, University of California Santa Cruz, USA
Web Chair
- Henrique D. Garcia, University of Brasília, Brazil
Steering Committee
- Dharma P. Agrawal, University of Cincinnati,USA
- Jie Wu, Temple University, USA
- Kang G. Shin, University of Michigan, USA
- J. J. Garcia-Luna-Aceves, University of California Santa Cruz, USA
Technical Program Committee
- Kaigui Bian, Peking University, China
- Wei Dong, Zhejiang University, China
- Mauro Femminella, University of Perugia, Italy
- Bin Guo, Northwestern Polytechnical University, USA
- Zongpeng Li, University of Calgary, Canada
- Yunhuai Liu, Peking University, China
- Rongxing Lu, University of New Brunswick, Canada
- Mohammad Hossein Manshaei, Florida International University, USA
- Lu Su, State University of New York at Buffalo, USA
- Jiliang Wang, Tsinghua University, China
- Qian Wang, Wuhan University, China
- Sheng Wei, University of Nebraska-Lincoln, USA
- Liyao Xiang, Shanghai Jiao Tong University, China
- Lei Xie, Nanjing University, China
- Jia Xu, Nanjing University of Posts and Telecommunications, China
- Dejun Yang, Colorado School of Mines, USA
- Jie Yang, Florida State University, USA
- Panlong Yang, University of Science and Technology of China, China
- Zheng Yang, Tsinghua University, China
- Yuan Zhang, Nanjing University, China
- Hongzi Zhu, Shanghai Jiao Tong University, China
- Roberto Beraldi, Sapienza Università di Roma, Italy
- Zhili Chen, Anhui University, China
- Yu Cheng, Illinois Institute of Technology, USA
- Haipeng Dai, Nanjing University, China
- Xavier Defago, Tokyo Institute of Technology, Japan
- Laura Galluccio, University of Catania, Italy
- Zhangyu Guan, University at Buffalo, USA
- Qiang-Sheng Hua, Huazhong University of Science and Technology, China
- Bo Ji, Temple University, USA
- Donghyun Kim, Kennesaw State University, USA
- Ajay Kshemkalyani, University of Illinois at Chicago, USA
- Mingming Lu, Central South University, China
- Neeraj Mittal, The University of Texas at Dallas, USA
- Rik Sarkar, University of Edinburgh, United Kingdom
- Haisheng Tan, University of Science and Technology of China, China
- Changda Wang, Jiangsu University, China
- Liangmin Wang, Jiangsu University, China
- Kui Wu, University of Victoria, Canada
- Hongwei Zhang, Iowa State University, USA
- Sheng Zhang, Nanjing University, China
- Jian Zhao, Nanjing University, China
- Stefano Basagni, Northeastern University, USA
- Bastian Bloessl, Trinity College Dublin, Ireland
- Sunghyun Choi, Seoul National University, South Korea
- Andres Garcia-Saavedra, NEC Labs Europe, Germany
- Vlado Handziski, Technische Universität Berlin, Germany
- Hongxin Hu, Clemson University, USA
- Josep Jornet, University at Buffalo, USA
- Ramanujan K Sheshadri, NEC Labs America, USA
- Florian Klingler, Paderborn University, Germany
- Zhenjiang Li, City University of Hong Kong, Hong Kong
- Tommaso Melodia, Northeastern University, USA
- Enrico Natalizio, University of Lorraine/Loria, France
- Parth Pathak, George Mason University, USA
- Paul Patras, The University of Edinburgh, United Kingdom
- Ioannis Pefkianakis, Hewlett Packard Labs, USA
- Olga Saukh, TU Graz / CSH Vienna, Austria
- Selcuk Uluagac, Florida International University, USA
- Li Xiao, Michigan State University, USA
- Wenyao Xu, SUNY Buffalo, USA
- Qing Yang, University of North Texas, USA
- Yifan Zhang, SUNY Binghamton, USA
- Torsten Braun, University of Bern, Switzerland
- Mingzhe Chen, Beijing University of Posts and Telecommunications, China
- Heming Cui, Hong Kong University, Hong Kong
- Mingjie Feng, The University of Arizona, USA
- Wei Gong, University of Science and Technology of China, China
- Deke Guo, National University of Defense Technology, China
- He Huang, Soochow University, China
- Imad Jawhar, Al Maaref University, Lebanon
- Gilsoo Lee, Virginia Tech, USA
- Jia Liu, Nanjing University, China
- Jiqiang Liu, Beijing Jiao Tong University, China
- Ming Liu, University of Electronic Science and Technology of China, China
- Yonghe Liu, The University of Texas at Arlington, USA
- Xiang Lu, Chinese Academy of Sciences, China
- Xiaoqiang Ma, Huazhong University of Science and Technology, China
- Amy Murphy, Fondazione Bruno Kessler, Italy
- Pouya Ostovari, Temple University, USA
- Jianping Pan, University of Victoria, Canada
- Danda Rawat, Howard University, USA
- Shaolei Ren, University of California, Riverside, USA
- Sumudu Samarakoon, University of Oulu, Finland
- Ryan Shea, Simon Fraser University, Canada
- Feng Wang, University of Mississippi, USA
- Jianping Wang, City University of Hong Kong, Hong Kong
- Xuyu Wang, California State University, USA
- Yuexuan Wang, The University of Hong Kong, Hong Kong
- Wei Wei, Xi'an University of of Technology, China
- Qingjun Xiao, SouthEast University of China, China
- Yu Xiao, Aalto University, Finland
- Hongli Xu, University of Science and Technology of China, China
- Yuedong Xu, Fudan University, China
- Jiao Zhang, Beijing University of Posts and Telecommunications, China
- Bo Zhou, Virginia Tech, USA
- Yanmin Zhu, Shanghai Jiao Tong University, China
- Bo Chen, Michigan Technological University, USA
- Yingying Chen, Rutgers University, USA
- Mauro Conti, University of Padua, Italy
- Xinwen Fu, University of Central Florida, USA
- Shouling Ji, Zhejiang University, China
- Fengjun Li, University of Kansas, USA
- Gang Li, Deakin University, Australia
- Qi Li, Tsinghua University, China
- Feng Lin, University of Colorado Denver, USA
- Jingqiang Lin, Chinese Academy of Sciences, China
- Lannan Luo, University of South Carolina, USA
- Zhen Mo, VMware, USA
- Daehun Nyang, Inha University, South Korea
- Bo Sheng, University of Massachusetts Boston, USA
- Chiu Tan, Temple University, USA
- Cong Wang, City University of Hong Kong, Hong Kong
- Weichao Wang, University of North Carolina at Charlotte, USA
- Zhi Wang, Tsinghua University, China
- Xuetao Wei, University of Cincinnati, USA
- Qiben Yan, University of Nebraska-Lincoln, USA
- Kan Yang, University of Memphis, USA
- Meng Yu, Roosevelt University, USA
- Qiang Zeng, University of South Carolina, USA
- Fan Zhang, Zhejiang University, China
- Fengwei Zhang, Wayne State University, USA
- Yajin Zhou, Zhejiang University, China
- Yian Zhou, Google Inc., USA
- Qing Cao, University of Tennessee, USA
- Renato de Moraes, Federal University of Pernambuco, Brazil
- Wan Du, University of California, Merced, USA
- Krishna C. Garikipati, Niantic Labs, USA
- Mahanth Gowda, The Pennsylvania State University, USA
- Jinsong Han, Zhejiang University, USA
- Liang He, University of Colorado Denver, USA
- Ruobing Jiang, Ocean University of China, China
- Vana Kalogeraki, Athens University of Economics and Business, Greece
- Abdelmajid Khelil, Landshut University of Applied Sciences, Germany
- Hyung-Sin Kim, University of California, Berkeley, USA
- Song Min Kim, KAIST, South Korea
- Ravi Kokku, IBM Research, USA
- Linghe Kong, Shanghai Jiao Tong University, China
- Vinod Kulathumani, West Virginia University, USA
- Branislav Kusy, Commonwealth Scientific and Industrial Research Organisation, Australia
- Kai Li, ISEP/IPP, Portugal
- Shan Lin, Stony Brook University, USA
- Zhidan Liu, Shenzhen University, USA
- Tony Luo, Institute for Infocomm Research, Singapore
- Tamer Nadeem, Virginia Commonwealth University, USA
- Shijia Pan, Carnegie Mellon University, USA
- Christian Poellabauer, University of Notre Dame, USA
- Francesco Restuccia, Northeastern University, USA
- Abusayeed Saifullah, Wayne State University, USA
- Sougata Sen, Dartmouth College, USA
- Longfei Shangguan, Princeton University, USA
- Yiran Shen, Commonwealth Scientific and Industrial Research Organisation, Australia
- Mahima Agumbe Suresh, San Jose State University, USA
- Rui Tan, Nanyang Technological University, Singapore
- Kanchana Thilakarathna, The University of Sydney, Australia
- Shuai Wang, Southeast University, China
- Myounggyu Won, University of Memphis, USA
- Hirozumi Yamaguchi, Osaka University, Japan
- Lei Yang, The Hong Kong Polytechnic University, Hong Kong
- Nairan Zhang, Facebook, Inc., USA
- Wei Zhang, Texas A&M University, USA
- Dong Zhao, Beijing University of Posts and Telecommunications, China
- Yuanqing Zheng, The Hong Kong Polytechnic University, Hong Kong
Hotel Information
The Hilton Garden Inn Monterey will serve as the conference hotel for IEEE MASS 2019. It is conveniently located just off California's scenic Highway 1, and just five minutes from Monterey Airport. The hotel is within walking distance of historic downtown Monterey, Del Monte Beach, Lake El Estero, Old Fisherman's Wharf, and Dennis the Menace Park. A quick six-minute drive will get you to Carmel, Pebble Beach or Cannery Row, home to the world-famous Monterey Bay Aquarium.
Guest can book via the hotel website with the group code “IEE" or online via website:
http://hiltongardeninn.hilton.com/en/gi/groups/personalized/M/MRYMHGI-IEE-20191021/index.jhtml
Contact
1000 Aguajito Road, Monterey, California 93940, USA
Tel: +1-831-373-6141
Fax: +1-831-655-8608
Check-in Date
03 November 2019 - 08 November 2019.
The Hotel cuto-off date is October 14.
Hotel Information
Check-in: 4:00 pm
Check-out: 11:00 am
Smoking: Non-Smoking (A fee of up to $250 USD will be assessed for smoking in a non-smoking room. Please ask the Front Desk for locations of designated outdoor smoking areas.)
Parking: Self parking: $7.50 (value for the event)
Valet: Not Available
Service animals allowed: Yes
Pets allowed: No
Payment: Can be made by cash, by certified check, or credit card. Hotel accepts American Express, Diners Club, Discover Card, Duet Card, Eurocard, JCB International, Maestro/Switch, Master Card or Visa.
About Monterey
"Monterey is a city located in Monterey County on the southern edge of Monterey Bay on California's Central Coast. Founded on June 3, 1770, it was the capital of Alta California under both Spain and Mexico." - Wikipedia
Official Website: https://www.monterey.org
SeeMonterey.com
"SeeMonterey is the official travel resource for Monterey County including the communities of Pebble Beach Company, Carmel-by-the-Sea, Del Rey Oaks, Marina, Monterey, Pacific Grove, Salinas, Sand City, Seaside, Moss Landing, Carmel Valley, Big Sur, and Salinas Valley."
Official Website: https://www.seemonterey.com/
Map
Hilton Garden Inn Monterey
Website
1000 Aguajito Road, Monterey, California, 93940, USA
TEL: +1-831-373-6141 FAX: +1-831-655-8608
How to Get Here
From the Monterey Peninsula Airport
- Directions: Take Highway 68 West to Highway 1 South. Exit immediately (Fisherman's Wharf exit). Turn left on Aguajito Road and then turn right at next light.
- Distance from Hotel: 3 mi.
- Drive Time: 5 min.
- Typical minimum rental car charge: Call Hotel for information
- Typical minimum taxi charge: 11.00 USD
From the San Jose International Airport
- Directions: Highway 101 South to 156 West to Hwy 1 South to Monterey/Fisherman's Wharf Exit. Turn left at first light, and right onto Aguajito Road.
- Distance from Hotel: 70 mi.
- Drive Time: 70 min.
- Typical minimum bus service charge: 30.00 USD
- Typical minimum rental car charge: 40.00 USD
From the San Francisco International Airport
- Directions: Take Highway 101 South to Highway 156 West, then take Highway 1 South to the Monterey/Fisherman's Wharf Exit.Turn left at first light and right onto Aguajito Road.
- Distance from Hotel: 100 mi.
- Drive Time: 2 hr.
- Typical minimum bus service charge: 60.00 USD
- Typical minimum rental car charge: 40.00 USD
About
IEEE MASS is a premier annual forum for sharing original, novel ideas in mobile ad-hoc networks and smart systems, defined broadly. IEEE MASS 2019 will include a peer-reviewed program of technical sessions, workshops, posters and demonstration sessions, panel, as well as keynotes from leading names in industry and academia.
Past IEEE MASS Conferences
- IEEE MASS 2018 Chengdu, China, on Oct.9-12, 2018
- IEEE MASS 2017 Orlando, Florida, USA, on October 22-25, 2017
- IEEE MASS 2016 Brasília, Brazil, October 10-13, 2016
- IEEE MASS 2015 Dallas, Texas (USA), October 19-22, 2015
- IEEE MASS 2014 Philadelphia, October 27-30 , 2014
- IEEE MASS 2013 Hangzhou, China, October 14-16, 2013
- IEEE MASS 2012 Las Vegas, USA, October 8-11, 2012
- IEEE MASS 2011 Valencia, Spain, October 17-22, 2011
- IEEE MASS 2010 San Francisco, CA, USA, November 8-12, 2010
- IEEE MASS 2009 Macau SAR, China, October 5-9, 2009
- IEEE MASS 2008 Atlanta, Georgia, USA, September 29-October 2, 2008
- IEEE MASS 2007 Pisa, Italy, October 8-11, 2007
- IEEE MASS 2006 Vancouver, BC, Canada, October 9-12, 2006
- IEEE MASS 2005 Washington, DC, USA, November 7-10, 2005
- IEEE MASS 2004 Fort Lauderdale, Florida, USA, October 24-27, 2004