AUTHOR=Wei Xing , Yang Hua , Huang Wentao 

TITLE=A Genetic-Algorithm-Based Optimization Routing for FANETs

JOURNAL=Frontiers in Neurorobotics

VOLUME=15

YEAR=2021

URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2021.697624

DOI=10.3389/fnbot.2021.697624

ISSN=1662-5218

ABSTRACT=<p>In view of the characteristics of high mobility of FANETs nodes, combined with the features of Topology-based class routing protocol on-demand search, a Genetic-algorithm-based routing (GAR) protocol is proposed for FANETs which based on improved genetic algorithm for FANETs route search, and it taking into account the link stability, link bandwidth, node energy, and other factors. GAR improves the selection, crossover, and variation operators of the genetic algorithm so that GAR can finally plan an optimized route from the communication initiating node to the destination node quickly using a smaller cost. The experimental results show that GAR can largely improve the throughput, reduce the delay and improve the stability of the network, which is more suitable for FANETs.</p>