Title: Adaptive multi-population artificial bee colony algorithm for wireless sensor network coverage optimisation

Authors: Jiali Wu; Shuai Wang; Zichen Wei; Jiawen Liu; Hui Wang

Addresses: School of Information Engineering, Nanchang Institute of Technology, Nanchang, China ' School of Information Engineering, Nanchang Institute of Technology, Nanchang, China ' School of Information Engineering, Nanchang Institute of Technology, Nanchang, China ' School of Information Engineering, Nanchang Institute of Technology, Nanchang, China ' School of Information Engineering, Nanchang Institute of Technology, Nanchang, China

Abstract: This paper proposes an adaptive multi-population artificial bee colony (called AMPABC) algorithm for wireless sensor network coverage. Firstly, the whole swarm is divided into three distinct groups in terms of the function values of solutions. Then, two improved search strategies are designed by employing a random neighbourhood structure. To replace the probability selection mechanism, the best solution in the pre-defined neighbourhood is selected in the onlooker bee stage. Finally, the proposed AMPABC is applied to optimise wireless sensor network coverage. Simulation experiment demonstrates that AMPABC can obtain promising results.

Keywords: artificial bee colony; multi-population; optimisation; wireless sensor network coverage.

DOI: 10.1504/IJWMC.2023.135407

International Journal of Wireless and Mobile Computing, 2023 Vol.25 No.4, pp.391 - 396

Received: 25 Jan 2023
Accepted: 06 Apr 2023
Published online: 08 Dec 2023 *

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