Node localization verification model for WSN

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Abstract

Localization is one of the most important technologies in wireless sensor networks. Range-based localization methods are widely used in many applications. However, traditional RSS-based methods cannot work well in scenarios with unreliable anchors. A reputation scheme based distributed location verification model called UNDA is proposed to solve the unreliable node recognizing issue in such scenarios. UNDA combines direct reputation and third-party reputation to recognize unreliable anchor. Furthermore, a credibilityupdating scheme is presented to make the third-party reputation more accuracy. Extensive simulation experiments indicate that the location verification algorithm has relatively high accuracy as well as low communication overhead, and the convergence of UNDA is rapid. The UNDA can be a used as an underlayer for traditional RSS-based localization algorithms to realize reliable localization.

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Miao, C., Dai, G., Chen, L., Jin, H., & Chen, Q. (2016). Node localization verification model for WSN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9567, pp. 296–309). Springer Verlag. https://doi.org/10.1007/978-3-319-31854-7_27

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