Hybrid algorithm optimization for coverage problem in wireless sensor networks

Han-Dong Jia, Shu-Chuan Chu, Pei Hu (), LingPing Kong, XiaoPeng Wang (), Václav Snášel (), Tong-Bang Jiang and Jeng-Shyang Pan
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Han-Dong Jia: Shandong University of Science and Technology
Shu-Chuan Chu: Shandong University of Science and Technology
Pei Hu: Shandong University of Science and Technology
LingPing Kong: VŠB-Technical University of Ostrava
XiaoPeng Wang: Shandong University of Science and Technology
Václav Snášel: VŠB-Technical University of Ostrava
Tong-Bang Jiang: Dalian Maritime University
Jeng-Shyang Pan: Shandong University of Science and Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 1, No 8, 105-121

Abstract: Abstract With the continuous development of evolutionary computing, many excellent algorithms have emerged, which are applied in all walks of life to solve various practical problems. In this paper, two hybrid fish, bird and insect algorithms based on different architectures are proposed to solve the optimal coverage problem in wireless sensor networks. The algorithm combines the characteristics of three algorithms, namely, particle swarm optimization algorithm, Phasmatodea population evolution algorithm and fish migration optimization algorithm. The new algorithm has the advantages of the three algorithms. In order to prove the effectiveness of the algorithm, we first test it on 28 benchmark functions. The results show that the two hybrid fish, bird and insect algorithms with different architectures have significant advantages. Then we apply the proposed algorithm to solve the coverage problem of wireless sensor networks through experimental simulation. The experimental results show the advantages of our proposed algorithm and prove that our proposed hybrid fish, bird and insect algorithm is suitable for solving the coverage problem of wireless sensor networks.

Keywords: Evolutionary computation; Phasmatodea population evolution algorithm; Fish migration optimization; Coverage problem; Wireless sensor network (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00883-5

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