应网络与交换技术国家重点实验室谢东亮教授的邀请，美国纽约州立大学XinWang教授将于1月5日（星期四）来北京邮电大学作学术报告。欢迎校内广大师生踊跃参加。
讲座题目：Decentralized Context Sharing in Vehicular Delay Tolerant Networks with Compressive Sensing
主讲人：Xin Wang教授
主持人：谢东亮教授
时间：2016年1月5日（星期四）上午10:00——12:00
地点：新科研楼610会议室
Abstract：
Vehicles equipped with various types of sensors can act as mobile sensors to monitor the road conditions. To speed up the information collection process, the monitoring data can be shared among vehicles upon their encounters to facilitate drivers to find a good route. The vehicular network experiences intermittent connectivity as a result of the mobility, which makes the inter-vehicle contact duration a scarce resource for data transmissions and the support of monitoring applications over vehicular networks a challenge. We propose a compressive sensing (CS)-based scheme to enable efficient decentralized context sharing in vehicular delay tolerant networks, called CS-Sharing. To greatly reduce the data transmission overhead and speed up the monitoring processing, CS-sharing exploits two techniques: sending an aggregate message in each vehicle encounter, and quick collection of information taking advantage of data sharing and the sparsity of events in vehicle networks to significantly reduce the number of measurements needed for global information recovery. We propose a novel data structure, and an aggregation method that can take advantage of the random and opportunistic vehicle encounters to form the measurement matrix. We prove that the measurement matrix satisfies the Restricted Isometry Property (RIP) property required by the CS technique. Our results from extensive simulations demonstrate that CS-Sharing allows vehicles in a large network to quickly obtain the full context data with the successful recovery ratio larger than 90%.
In this talk, I will also introduce some other work in the Wireless Networking and Systems lab of Stony Brook University. Some areas of research interest includes: networked sensing, detection, fusion and learning; wireless communications and networks; cloud and distributed computing.
Bio:
Dr. Wang is currently 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 a faculty 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 (TMC). She also serves TPC chair or program committee members in many technical conferences, 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, ACM MobiCom, USENIX NSDI, IEEE ICNP, IEEE Infocom, IEEE ICDCS, IEEE Percom, IEEE TON, IEEE TMC, IEEE JSAC, IEEE TC, and IEEE TDSC.
Dr. Wang obtained her PhD from Columbia University, BS and MS 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.
网络与交换技术国家重点实验室
2015年12月28日
