Coverage optimization in wireless sensor networks with a modified arithmetic optimization algorithm

Xiangyu Kong; Yingjun Qian; Bohao Xu

doi:10.1117/12.2671692

21 March 2023 Coverage optimization in wireless sensor networks with a modified arithmetic optimization algorithm

Xiangyu Kong, Yingjun Qian, Bohao Xu

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260911 (2023) https://doi.org/10.1117/12.2671692
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

A coverage optimization method is suggested to improved node coverage in wireless sensor networks (WSNs), decrease node redundancy, and lengthen network lifetime, this method is based on the adaptive grey wolf arithmetic optimization algorithm The exploitation and exploration are first balanced using a cosine acceleration function. Then, to boost the method's performance, the grey wolf optimizer and arithmetic optimization algorithm are combined. In comparison to the conventional coverage optimization algorithm, our simulation results could improve arithmetic optimization algorithm has higher convergence efficiency and coverage rate, decreases network loss, and significantly lengthens the network life cycle.

Citation Download Citation

Xiangyu Kong, Yingjun Qian, and Bohao Xu "Coverage optimization in wireless sensor networks with a modified arithmetic optimization algorithm", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260911 (21 March 2023); https://doi.org/10.1117/12.2671692

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