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Sparse On-Line Data Collections in Wireless Sensor Networks based on Matrix Completion
Date: 2014/6/17             Browse: 543

Speaker: Dr. Xin Wang

Time: 16:00-17:00, June 17

Location: Room 220, Building 8



Matrix completion has emerged very recently and provides a new venue for low cost data gathering in wireless sensor networks. Existing schemes often assume that the data matrix has a known and fixed low-rank, which is unlikely to hold in a practical monitoring system where data often vary in temporal and spatial domain. By analyzing a large set of weather data collected from 196 sensors over one month, we reveal that weather data have the features of low-rank, temporal stability, and relative rank stability. Taking advantage of these features, we propose an on-line data gathering scheme based on matrix completion theory, named MC-Weather, to adaptively sample different locations according to environmental and weather conditions. To better schedule a sampling process while satisfying the required reconstruction accuracy, we propose several novel techniques, including three sample learning principles, an adaptive sampling algorithm based on matrix completion, and a uniform time slot and cross sample model. With these techniques, our MC-Weather scheme can collect the sensory data at the required accuracy while largely reducing the cost for sensing, communications and computation. We perform extensive simulations based on the real weather data sets and the simulation results validate the efficiency and efficacy of the proposed scheme.

In this talk, I will also introduce some other work in the Wireless Networking and Systems lab of Stony Brook University.



Dr. Wang is currently an associate professor and the director of the Wireless Networking and Systems lab of the department of Electrical and Computer Engineering of the State University of New York (SUNY) at Stony Brook. Prior to joining Stony Brook university, she was an assistant professor in the department of computer science and engineering of SUNY at Buffalo between 2003 and 2005, and was a Member of Technical Staff in the area of mobile and wireless networking at Bell Labs Research, Lucent Technologies, New Jersey between 2001 and 2003. While in Bell-Labs, she served as the QoS subsystem architect for the Lucent Imminent Content Switch project, cross-team consultant for Lucent Metro Ethernet Project, and technical lead in QoS management in Lucent 3G Radio Network Controller project.

Dr. Wang has been conducting and leading research work in the design of network architectures, protocols and algorithms.  Her research areas have expanded from the core Internet research, to the current focus on wireless network infrastructure design with the major goals of significantly improving the wireless network capacity, reliability, and scalability, supporting advanced wireless applications and services. Her interest areas also include mobile cloud computing and distributed computing, and networked sensing, detection, and data fusion. She current serves as an associate editor of IEEE Transactions of Mobile Computing. She also serves in technical program committees in many highly competitive conferences in wireless networking and system areas, including ACM MobiCom, IEEE Infocom, IEEE ICDCS, and IEEE PerCom. Her research group has published more than 100 papers in highly reputed conferences and journals, including ACM Sigmetrics, IEEE ICNP, IEEE Infocom, IEEE ICDCS, IEEE Percom, IEEE TON, IEEE TMC, IEEE JSAC, IEEE TC, and IEEE   TDSC 

Dr. Wang obtained her PhD degree from Columbia University, BS and MS degrees from Beijing University of Post and Telecommunications, respectively. She is a recipient of NSF career award in 2005 and the ONR Chief of Naval Research (CNR) Challenge award in 2011.

                                                                                                                    SIST-Seminar 14021