High-efficiency and Low-overhead Selfish Node Detection Algorithm in Opportunistic Networks

Ali Md Liton, Rahman Atiqur and Hosen Md Shawkat

International Journal of Science and Business, 2020, vol. 4, issue 2, 281-289

Abstract: To address the problems of large overhead and inaccurate judgment for selfish node of the existing selfish node detecting algorithm in opportunistic networks, a high-efficiency and low-overhead algorithm to detect the selfish node HLSND algorithm is proposed. The algorithm combines the SV list interactive information and attributes of the message forwarded by encounter node to judge its selfishness. According to the message attributes forwarded by the node, it can be judged whether it has the selfish behavior of forged the message in SV list. The RSSI technique is used to measure the distance of the nodes to improve the judgment accuracy of self – interest behavior. At the same time, information of selfish node is carried when forward other message to reduce the system overhead. The simulation results show that the HLSND detection algorithm can effectively improve the throughput and message delivery rate in the network and reduce the energy consumption and time delay of the system.

Keywords: opportunistic networks; Probabilistic Routing; selfish node; summery vector; HLSND Algorithm (search for similar items in EconPapers)
Date: 2020
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