Joint Multi-Source Localization and Environment Perception in Wireless Sensor Networks
This paper addresses the problem of joint multi-source localization and environment perception in wireless sensor networks (WSNs) based on received signal strength (RSS). Contrary to the traditional RSS approaches which assume known number of sources and known parameter of environments, we propose to estimate the sources with unknown number and the unknown environmental parameter simultaneously. By assuming that the sources are sparse in the sensing field, a non-convex l1 regularized least squares problem is formulated. This non-convex problem is then decomposed to two simple subproblems, one for multi-source localization and another for environment perception. A joint multi-source localization and environment perception algorithm is proposed, with extensive simulations to validate its effectiveness.
Wireless Sensor Networks (WSNs) Received Signal Strength (RSS) Multi-Source Localization Environment
Qing Ling Gang Wu Chengyu Jiang Zhi Tian
Department of Automation, University of Science and Technology of China, Hefei, Anhui, P.R. China, 2 Department of Mathematics, Harbin Institute of Technology, Weihai, Shandong, P.R. China, 264209 Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Mich
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
4110-4113
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）