A novel localization scheme based on RSS data for wireless sensor networks

Authors:
Hongyang Chen;Deng Ping;Yongjun Xu;Xiaowei Li
Affiliations:
Advanced Test Technology Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;Institute of Mobile Communications, Southwest Jiaotong University, Chengdu;Advanced Test Technology Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing;Advanced Test Technology Lab, Institute of Computing Technology, Chinese Academy of Sciences, Beijing
Venue:
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Year:
2006

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Abstract

Sensor localization has become an essential requirement for realistic applications over Wireless Sensor Networks (WSN).In this paper, we propose a novel location algorithm based on mean received signal strength (RSS) measurements. It incorporates Chan’s hyperbolic position location algorithm and the extended Kalman filtering to achieve an accurate estimation. We have verified the scheme mentioned in the paper performed better than conventional received signal strength indicator (RSSI) location algorithm for the static location estimator in indoor sensor networks.