Energy-Efficient target localization based on a prediction model

Authors:
Yu Gu;Wei Zhang;HengChang Liu;Baohua Zhao;Yugui Qu
Affiliations:
Department of Computer Science, Laboratory of Computer Science Institute of Software Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, China;Department of Computer Science, Laboratory of Computer Science Institute of Software Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, China;Department of Computer Science, Laboratory of Computer Science Institute of Software Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, China;Department of Computer Science, Laboratory of Computer Science Institute of Software Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, China;Department of Computer Science, Laboratory of Computer Science Institute of Software Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, China
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

In this paper, we propose an energy-efficient target localization scheme (TLS) based on a prediction model that can reveal the most likely zone the target will be in, and also a corresponding two-step communication protocol between base station (BS) and sensors. BS uses a query mechanism to determine which sensors should be used for detailed information according to a limited amount of data received from the sensors. This scheme reduces both energy consumption and communication bandwidth requirement, prolongs the lifetime of the wireless sensor networks. Simulation results indicate that it can achieve a high accuracy while saving a large amount of energy.