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.
This paper was supported in part by National Basic Research Program of China under Grant No.2005CB321604, and in part by National Natural Science Foundation of China under Grant No.90207002.
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Chen, H., Ping, D., Xu, Y., Li, X. (2006). A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_42
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DOI: https://doi.org/10.1007/11610496_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31158-4
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