Optimization of drones communication by using meta-heuristic optimization algorithms

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Sigma Mühendislik ve Fen Bilimleri Dergisi
Volume:40 Issue:1
Optimization of drones communication by using meta-heuristic optimization algorithms

Optimization of drones communication by using meta-heuristic optimization algorithms

Authors : A F M Shahen SHAH, Muhammet Ali KARABULUT

Pages : 108-117

View : 29 | Download : 7

Publication Date : 2022-03-25

Article Type : Research Paper

Abstract :Unmanned aerial vehicles insert ignore into journalissuearticles values(UAVs);, more generally known as drones or remotely piloted aircraft, h ave b een e xtensively u sed i n b oth c ivilian a ctivities a nd m ilitary m issions b ecause of their high mobility and low cost. Multi-UAV systems structured in an ad hoc manner called UAVs ad hoc network which is also familiar as flying ad hoc Network insert ignore into journalissuearticles values(FANET);. For FANETs, the IEEE 802.11 standard offers Medium Access Control insert ignore into journalissuearticles values(MAC); layer requirements. Optimization of the contention window insert ignore into journalissuearticles values(CW); size will optimize the output. Three distinct meta-heuristic optimization algorithms are used in this paper to improve the efficiency of FANETs, which are the Cuckoo Search Algorithm insert ignore into journalissuearticles values(CUCO);, the Differential Evolution Algorithm insert ignore into journalissuearticles values(DEA);\ and the Honey Bee Algorithm insert ignore into journalissuearticles values(HBA);. Optimum CW size is defined through meta-heuristic optimization algorithms. Performance comparison among CUCO, DEA, HBA, and traditional MAC based on IEEE 802.11 is presented. Relationships among parameters are obtained through Markov chain based analytical study. Performance metrics such as successful transmission probability, collision probability, channel busy probability, throughput, packet dropping rate insert ignore into journalissuearticles values(PDR);, and delay expressions are derived. Simulation results reveal that meta-heuristic optimization algorithms improve the quality and reliability of communication by increasing throughput and decreasing PDR and latency.
Keywords : Cuckoo search algorithm, Drones, Differential evolution algorithm, Honeybee algorithm, IEEE 802 11, Optimization

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