Gray Wolf Optimizer with Communication Strategy Based on DV-Hopfor Nodes Location ofWireless Sensor Networks

This is the authors' abstract. We don't add key points for this paper.

Node localization has been one of the critical and significant research problems in wireless sensornetworks (WSN). The DV-Hop method determines the location of an unknown node based onthe anchor node location and the multi-hop forwarding principle, but the method falls far shortof satisfactory localization accuracy. Therefore, an improved Gray Wolf Optimizer (GWO) withcommunication strategy (IGWO-CS) is proposed in this paper. A convergence function based onthe sine function is proposed to eliminate the limitation of the convergence factor 𝑎 on the searchability of the GWO algorithm. A communication strategy based on Lévy flight is designed, which canimprove the efficiency of information interaction between wolves 𝛼, 𝛽 and 𝛿 while also improving thesearch accuracy and convergence speed. Extensive experimental results on 23 well-known benchmarkfunctions and unknown nodes location in WSN demonstrate the effectiveness of the proposed IGWO-CS method and also show sufficient competitiveness compared with other state-of-the-art algorithms,while the proposed IGWO-CS algorithm can achieve satisfactory performance in a short time.