学术报告第201653期

报告时间：12月22日上午10点

报告地点：南一楼西203室

报告题目: Estimation over Sensor Networks

邀请方：“多谱信息处理技术”国家级重点实验室

Bio：

Yilin Mo is an Assistant Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University. He received his Ph.D. In Electrical and Computer Engineering from Carnegie Mellon University in 2012 and his Bachelor of Engineering degree from Department of Automation, Tsinghua University in 2007. Prior to his current position, he was a postdoctoral scholar at Carnegie Mellon University in 2013 and California Institute of Technology from 2013 to 2015. His research interests include secure control systems and networked control systems, with applications in sensor networks and power grids.

Abstract：

Sensor networks span a wide spectrum of applications, e.g., environment and habitat monitoring, health care, home and office automation, and traffic control. In many of these applications, a centralized fusion center is implemented to collect and process the measurements for estimation purposes. Sensor nodes are typically battery powered with limited communication capability. As a result, the communication between sensors and fusion center may be randomly dropped due to network interference. On the other hand, in order to conserve energy, sensors could deliberately go to an inactive state so that no information is sent to the fusion center. In this talk, we first analyze the impact of random packet drops on the estimation performance of the sensor networks. We then develop an event-based strategy which puts sensors into inactive state to minimize the energy consumption while maintaining a desired estimation accuracy.