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NSF CAREER: Exploiting Sensing Diversity and Conquering Communication Reality to Meet User Requirements in Performance-critical Wireless Sensor Networks

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Project Description

 

Wireless Sensor Networks (WSNs) are an important new class of networked systems that integrate sensing, communication, and computation capabilities on a single, inexpensive platform. The significant scale and deep integration with their environments enable WSNs to monitor the physical world and human subjects with an unprecedented spatial and temporal granularity. Although first-generation WSNs were designed primarily for best-effort information gathering, they are increasingly deployed for numerous performance-critical application domains, such as security enforcement and military surveillance, natural and physical hazard detection, smart healthcare and assisted living, depression detection and social networking, etc. The WSNs designed for these performance-critical applications must achieve user requirements on both sensing and communication performance, such as high detection probabilities, low false alarm rates, and bounded time delays and throughputs. Failure to meet these requirements often leads to undesirable or even catastrophic consequences.

 

However, in order to meet such performance requirements, convenient, but unrealistic, sensing and communication properties cannot be assumed. In a real deployment, both the sensing diversity, i.e., the sensing capability differences among individual sensors or sensor clusters in the deployment, and the lossy, irregular, and heterogeneous WSN communication reality must be addressed. Three research thrusts are proposed to exploit sensing diversity and conquer communication reality so as to ensure user-requested sensing and communication performance in performance-critical WSNs. They are (1) exploiting sensing diversity to ensure sensing performance; (2) ensuring radio-agnostic multi-hop communication performance; and (3) utilizing results of accurate sensing to increase communication efficiency.

 

This research was made possible by NSF CAREER Grant CNS-1253506. It was conducted within the Department of Computer Science at The College of William and Mary.

 

Personnel

 

*     Gang Zhou (faculty)

*     Ge Peng (Ph.D. student, graduate in 2017, PhD. Thesis Title: Enhancing Energy Efficiency and Privacy Protection of Smart Devices, initial placement at Google)

*     David Nguyen (Ph.D. student, graduate in 2016, Ph.D. Thesis Title: Enhancing Mobile Device System Using Information from Users and Upper Layers, initial placement at Facebook)

*     Daniel Graham (Ph.D. student, graduate in 2016, Ph.D. Thesis Title: Enhancing the Sensing Capabilities of Mobile and Embedded Systems, initial placement at Microsoft)

*     Xin Qi (Ph.D. student, graduated in 2015, Ph.D. Thesis Title: Improving Context Recognition and Leveraging Context Awareness in Mobile Systems, initial placement at VMware)

*     Yongsen Ma (Ph.D. student)

*     Hongyang Zhao (Ph.D. student)

*     Amanda Watson (Ph.D. student)

*     Kyle Wallace (Ph.D. student)

*     Qing Yang (Ph.D. student)

*     Shuangquan Wang (Ph.D. student)

*     Woosub Jung (Ph.D. student)

*     Benjamin Powell (undergraduate student)

*     Fei He (undergraduate student)

*     Jeffrey Buffkin (undergraduate student)

*     George Stathopoulos (high school student)

   

Publications

 

*     Continuous Authentication with Touch Behavioral Biometrics and Voice on Wearable Glasses

Ge Peng, Gang Zhou, David Nguyen, Xin Qi, Qing Yang, Shuangquan Wang

[IEEE TOHMS’16] IEEE Transactions on Human-Machine Systems, 2016

 

*     RoFi: Rotation-aware WiFi Channel Feedback

Yongsen Ma, Gang Zhou, Shan Lin, Haiming Chen

[IEEE IoT’17] IEEE Internet of Things Journal, 2017

 

*     Gesture-enabled Remote Control for Healthcare

Hongyang Zhao, Shuangquan Wang, Gang Zhou, Daqing Zhang

[IEEE/ACM CHASE’17] IEEE/ACM CHASE, Philadelphia, 2017

 

*     EliMO: Eliminating Channel Feedback from MIMO

Yongsen Ma, Gang Zhou, Shan Lin

[IEEE SMARTCOMP’17] IEEE SMARTCOMP, Hong Kong, 2017 (Invited Paper)

 

*     Determining Driver Use Leveraging Smartphone Sensors

Yantao Li, Gang Zhou, Yue Li, Du Shen

[Springer MTA’16] Springer Multimedia Tools and Applications, 2016

 

*     Improving Web Performance in Home Broadband Access Networks

Yantao Li, Gang Zhou, Bin Nie

[Springer WPC’16] Springer Wireless Personal Communications, 2016

 

*     HIDE: AP-assisted Broadcast Traffic Management to Save Smartphone Energy

Ge Peng, Gang Zhou, David Nguyen, Xin Qi, Shan Lin

[IEEE ICDCS’16] The 36th IEEE International Conference on Distributed Computing Systems, Nara, Japan, 2016

 

*     A Smartphone Compatible SONAR Ranging Attachment for 2D Mapping

Daniel Graham, Gang Zhou, Ed Novak, Jeffrey Buffkin

[IEEE IoT’16] IEEE Internet of Things Journal, 2016

 

*     HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users

Zdenka Sitova, Jaroslav Sedenka, Qing Yang, Ge Peng, Gang Zhou, Paolo Gasti, Kiran Balagani

[IEEE TIFC’16] IEEE Transactions on Information Forensics and Security, 2016

 

*     Prototyping Wearables: a Code-First Approach to Designing Embedded Systems

Daniel Graham, Gang Zhou

[IEEE IoT’16] IEEE Internet of Things Journal, 2016

 

*     Toward Sensor-Based Random Number Generation for Mobile and IoT Devices

Kyle Wallace, Kevin Moran, Ed Novak, Gang Zhou, Kun Sun

[IEEE IpT’16] IEEE Internet of Things Journal, 2016

 

*     Arbitrating Traffic Contention for Power Saving with Multiple PSM Clients

Dachuan Liu, Haining Wang, Gang Zhou, Weizhen Mao, Boyang Li

[IEEE TWC’16] IEEE Transactions on Wireless Communications, 2016

 

*     A Context-aware Framework for Reducing Bandwidth Usage of Mobile Video Chats

Xin Qi, Qing Yang, David T. Nguyen, Ge Peng, Gang Zhou, Bo Dai, Daqing Zhang, Yantao Li

[IEEE TMM’16] IEEE Transactions on Multimedia, 2016

 

*     Poster: A Continuous and Noninvasive User Authentication System for Google Glass

Ge Peng, David T. Nguyen, Gang Zhou, Shuangquan Wang

[ACM MobiSys’15] ACM The 13th International Conference on Mobile Systems, Applications, and Services

Florence, Italy, 2015

 

*     Poster: CrowdWatch: Pedestrian Safety Assistance with Mobile Crowd Sensing

Qianru Wang, Bin Guo, Ge Peng, Gang Zhou, Zhiwen Yu

[ACM Ubicomp’16] ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, 2016

 

*     Poster: Microsleep Prediction Using an EKG Capable Heart Rate Monitor

Amanda Watson, Gang Zhou

[IEEE CHASE’16] The First IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies, Washington DC, 2016

 

*     RunBuddy: A Smartphone System for Running Rhythm Monitoring

Tian Hao, Guoliang Xing, Gang Zhou

[ACM Ubicomp’15] The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan, 2015

 

*     CARE: Chewing Activity Recognition Using Noninvasive Single Axis Accelerometer

Shuangquan Wang, Gang Zhou, Lisa Hu, Zhenyu Chen, Yiqiang Chen

[ACM Ubicomp’15] (Poster), The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan, 2015

 

*     Poster: A Continuous and Noninvasive User Authentication System for Google Glass

Ge Peng, David T. Nguyen, Gang Zhou, Shuangquan Wang

[ACM MobiSys’15] (Poster), ACM The 13th International Conference on Mobile Systems, Applications, and Services Florence, Italy, 2015

 

*     ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks

Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Gu Lin, Tian He, John A. Stankovic, Sang Son, George Pappas, [ACM TOSN’15] ACM Transactions on Sensor Networks, 2015

 

*     Towards Stable Network Performance in Wireless Sensor Networks: A Multilevel Perspective

Shan Lin, Gang Zhou, Motza AI-Hami, Yafeng Wu, Kamin Whitehouse, John Stankovic, Xiaobing Wu, Hengcheng Liu

[ACM TOSN’15] ACM Transactions on Sensor Networks, 2015

 

*     A Software Based Sonar Ranging Sensor For Smart Phones

Daniel Graham, George Simmons, David T. Nguyen, Gang Zhou

[IEEE IOT’15] IEEE Internet of Things Journal, 2015

 

*     Throughput Assurance for Multiple Body Sensor Networks

Zhen Ren, Xin Qi, Gang Zhou, Haining Wang, David T. Nguyen

[IEEE TPDS’15] IEEE Transactions on Parallel and Distributed Systems, 2015

 

*     Towards an EEG-based Brain-Computer Interface for Online Robot Control

Yantao Li, Gang Zhou, Daniel Graham, Andrew Holtzhauer

[Springer MTA’15] Springer Multimedia Tools and Applications, 2015

 

*     Energy Modeling and Optimization for BSN and WiFi Networks using Joint Data Rate Adaptation

Yantao Li, Gang Zhou, Ge Peng

[AHSWN’15] Ad Hoc & Sensor Wireless Networks, 2015

 

*     A Review on Radio Based Activity Recognition

Shuangquan Wang, Gang Zhou

[Elsevier DCN’15] Elsevier Digital Communications and Networks, 2015 (Invited Paper)

 

*     Poster Abstract: A Multimodal Data Set for Evaluating Continuous Authentication Performance in Smartphones

Qing Yang, Ge Peng, Xin Qi, David T. Nguyen, Gang Zhou, Zdenka Sitova, Paolo Gasti, Kiran S. Balagani

[ACM SenSys’14] (poster), The 12th ACM Conference on Embedded Networked Sensor Systems, Memphis, TN, 2014

 

*     A Theoretical Analysis of Path Loss Based Activity Recognition

Iberedem Ekure, Shuangquan Wang, Gang Zhou

[IEEE MASS’14] IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, Philadelphia, Pennsylvania, 2014

 

*     A Learning-based Approach to Confident Event Detection in Heterogeneous Sensor Networks

Matthew Keally, Gang Zhou, Guoliang Xing, David T. Nguyen, Xin Qi,

[ACM TOSN’14] ACM Transactions on Sensor Networks, 2014

 

*     Providing Reliable and Real-time Delivery in the Presence of Body Shadowing in Breadcrumb Systems

Hengchang Liu, Pan Hui, Zhiheng Xie, Jingyuan Li, David Siu, Gang Zhou, Liusheng Huang, John A. Stankovic

[ACM TECS’14] ACM Transactions in Embedded Computing Systems, 2014

 

*     Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing

Zhen Ren, Xin Qi, Gang Zhou, Haining Wang

[IEEE IoT’14] IEEE Internet of Things Journal, 2014

 

*     Remora: Sensing Resource Sharing Among Smartphone-based Body Sensor Networks

Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu

[ACM/IEEE IWQoS’13] ACM/IEEE International Symposium on Quality of Service, pages 1-10, 2013

 

*     AdaSense: Adapting Sampling Rates for Activity Recognition in Body Sensor Networks

Xin Qi, Matthew Keally, Gang Zhou, Yantao Li, Zhen Ren

[IEEE RTAS’13] Proceedings of the 19th IEEE Real-Time and Embedded Technology and Applications Symposium, Philadelphia, PA, 2013

 

*     Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks

Yantao Li, Xin Qi, Matthew Keally, Zhen Ren, Gang Zhou, Di Xiao, Shaojiang Deng

[IEEE TPDS’13] IEEE Transactions on Parallel and Distributed Systems, pages 1741 - 1751, 2013

 

*     Discrete-time Markov Model for Wireless Link Burstiness Simulations

Yantao Li, Daniel Graham, Gang Zhou, Xin Qi, Shaojiang Deng, Di Xiao

[Springer WPC’13] Springer Wireless Personal Communications, pages 1-19, 2013

 

 

 

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