Journal Article10.1109/TII.2021.3076770
A TOPSIS-Based Relocalization Algorithm in Wireless Sensor Networks
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TL;DR: An algorithm that can simultaneously screen drifting beacon nodes and malicious beacon nodes is proposed and Experimental results illustrate that the detection accuracy of drifting beacon node and malicious Beacon nodes of the proposed algorithm is 7.5% and 8.2% higher than that of the state-of-the-art algorithms, respectively.
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Abstract: Selecting reliable beacon nodes plays a significant role in relocalizing unknown nodes in a wireless sensor network When the position of a beacon node is drifted or is spoofed, it becomes an unreliable beacon node, which would lead to a large relocalization deviation of unknown nodes in its neighbor However, when selecting reliable beacon nodes, most relocalization algorithms only screen either drifting beacon nodes or malicious beacon nodes whose position is drifted or spoofed This article proposes an algorithm that can simultaneously screen drifting beacon nodes and malicious beacon nodes The algorithm is divided into four steps First, three indicators are introduced, where two are for describing position drifting and one is for describing position spoofing Second, the entropy method is used to weight the contributions of three indicators Third, a technique for order preference by similarity to an ideal solution is used to construct a reliability evaluation model Finally, using the reliability evaluation model select reliable beacon nodes Experimental results illustrate that the detection accuracy of drifting beacon nodes and malicious beacon nodes of the proposed algorithm is 75% and 82% higher than that of the state-of-the-art algorithms, respectively
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Arun Kumar Sangaiah,Darshan Vishwasrao Medhane,Gui-Bin Bian,Ahmed Ghoneim,Mubarak Alrashoud,M. Shamim Hossain +5 more
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