An Efficient Routing Protocol Technique in Flying Ad Hoc Network Using

Abstract

Unmanned aerial vehicles (UAVs) have been made possible by developments in technology. Clusters of UAVs that communicate while in close proximity to achieve a common goal make up a Flying Ad Hoc Network (FANET). FANETs have garnered huge interest in recent times due to their potential uses across numerous fields, including agriculture, environment, rescue operations, and surveillance, among others. High-speed nodes, low density, constrained energy resources, and quick topology changes are just a few of the difficulties FANETs have encountered. Because of this, routing in these networks is a difficult problem. Therefore, this study developed an efficient routing technique for FANETs using the enhanced mayfly algorithm and optimal link state routing (EMAOLSR). The study model is based on the topology technique of OLSR, while the enhanced mayfly algorithm (EMA), which is a swarm-based approach, was utilized for optimal selection of multipoint relays (MPRs) in FANET to improve the performance of OLSR. EMAOLSR optimally selects a node as the MPR that has a high residual energy and a high-quality connection. The developed EMAOLSR was simulated using the MATLAB toolbox. EMAOLSR was compared with the existing technique of firefly algorithm optimized link state (FAOLSR) and OLSR. Results show that our routing technique (EMAOLSR) performed better than FAOLSR and OLSR in terms of energy consumption, throughput, end-to-end delay, packet delivery rate, packet loss rate, and network efficiency