Abstract
Since all anchor-based range-free localization algorithms require estimating the distance from an unknown node to an anchor node, such estimation is crucial for localizing nodes in environments as wireless sensor networks. We propose a new algorithm, named EDPM (Estimating Distance using a Probability Model), to estimate the distance from an unknown node to an anchor node. Simulation results show that EDPM reaches a slightly higher accuracy for distance estimation than the traditional algorithms for regularly shaped networks, but reveals significantly higher accuracy for irregularly shaped networks.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Huang, G., Delicato, F.C., Pires, P.F., Zomaya, A.Y. (2012). Probabilistic Distance Estimation in Wireless Sensor Networks. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_39
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DOI: https://doi.org/10.1007/978-3-642-29154-8_39
Publisher Name: Springer, Berlin, Heidelberg
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