Title: Joint metaheuristics-based optimisation in wireless cooperative network

Authors: Sonika Pahuja; Poonam Jindal

Addresses: Dept. of Electronics and Communication, NIT, Kurukshetra, Haryana, India ' Dept. of Electronics and Communication, NIT, Kurukshetra, Haryana, India

Abstract: Considering the limitations of natural energy resources, energy-efficient wireless networks have gained significant attention in recent years. A wireless cooperative communication network (WCCN) provides better spectrum utilisation and reduces interference. Thus, new technologies and methods are explored successively to optimise the existing wireless networks. In this paper, a multiple source-multiple relay network is considered and system efficiency is enhanced by optimising the crucial parameters of the network like delay, relay selection, and energy. A novel joint metaheuristics algorithm, Black-widow optimisation and Tunicate swarm algorithm (BWO-TSA), is proposed. The results obtained are further compared with the existing Branch and Bound (BB) algorithm. The optimal solution is attained with lower computational complexity for different network parameters like outage probability and energy consumption. The proposed algorithm reduces the schedule length by up to 16.66% and outperforms the conventional BB algorithm for various network settings.

Keywords: WCCN; wireless cooperative communication network; relay selection; optimal power allocation; joint metaheuristics algorithm; scheduling.

DOI: 10.1504/IJWMC.2024.137878

International Journal of Wireless and Mobile Computing, 2024 Vol.26 No.3, pp.291 - 301

Received: 24 Jan 2023
Accepted: 20 Nov 2023
Published online: 05 Apr 2024 *

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