Speaker: Feng Li, Research Fellow, National University of Singapore
Time: 9:00- 10:00 am, April 8, 2015
Venue: Room 202, Second Floor, Office Building, Software Campus
Abstract: Wireless Sensor Networks (WSNs) have been attracting world?wide attention in recent years, particularly in applications in military, health, environment and commerce etc. However, sensor nodes usually have low energy storage, limited processing and computing resources as well as inevitable vulnerability. In this talk, we look at how to build an efficient and reliable WSN, from both theoretical and practical perspectives.
The first topic is load balancing sensor deployment for multiple coverage, for the purpose of improving the fault tolerance and system robustness of mobile WSNs. In the second topic, considering the vulnerability of ZigBee WSNs in face of WiFi interference, we put our focus on adaptively exploiting frequency?temporal space to improve the coexistence of ZigBee and WiFi networks, particularly in terms of transmission throughput and quality. Whereas a lot of efforts have been put on energy conservation in WSNs, the limited lifetime of these systems still hampers their practical deployments. This situation is further exacerbated indoor, as conventional energy harvesting (e.g., solar) ceases to work. To enable long lived indoor sensing, we report in the third topic a self?sustaining sensing system that draws energy from indoor environments, adapts its duty?cycle to the harvested energy, and pays back the environment by enhancing the awareness of the indoor microclimate through an “energy?free” sensing.
Bio: Dr. Feng Li is currently a Research Fellow in School of Computing, National University of Singapore. He obtained his PhD degree of Computer Science from School of Computer Engineering, Nanyang Technological University, Singapore, in 2014. Before that, he received his BS and MS degrees from Shandong Normal University and Shandong University respectively in 2007 and 2010. His research interests include Computational Geometry, Optimization Theory and Distributed Algorithms in applications of Wireless Networking and Mobile Computing. He published tens of papers in tier?1 journals and conferences, including IEEE/ACM TON, IEEE TWC, ACM MobiHoc, ACM SenSys, IEEE ICDCS, IEEE SECON et. He is a reviewer for IEEE TPDS and IEEE TMC, and a Member of both IEEE and ACM.