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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2014

01.01.2014

Positioning Algorithms by Information Fusion in Wireless Sensor Networks

verfasst von: Liangrui Tang, Yue Gong, Yiting Luo, Sen Feng, Xiongwen Zhao

Erschienen in: Wireless Personal Communications | Ausgabe 2/2014

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Abstract

To overcome the disadvantages of the positioning technologies by fuzzy theory in Wireless Sensor Networks (WSNs), positioning algorithms based on information fusion are presented in this article. The fuzzy theory is used to deal with the randomness and fuzziness in the WSNs. And the information fusion is introduced to improve the location accuracy. If the collinearity of the anchor nodes is larger, the misjudged reference nodes may be caused. They are removed by using clustering method. The algorithms in this paper can enhance the location accuracies compared with using the fuzzy theory and alleviate the effect of the RSSI (Received Signal Strength Indication) measure errors. Moreover, the algorithms avoid the high complexity of computation and the requirement of more anchor nodes. Simulation results indicate that the algorithms are more precise, robust as well as with good suitability.
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Metadaten
Titel
Positioning Algorithms by Information Fusion in Wireless Sensor Networks
verfasst von
Liangrui Tang
Yue Gong
Yiting Luo
Sen Feng
Xiongwen Zhao
Publikationsdatum
01.01.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1305-7

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