A Genetic-Algorithm-Based Optimization Routing for FANETs

Frontiers in Neurorobotics

Xing Wei¹  Hua Yang¹  Wentao Huang² 

[1] School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin, China;School of Computer Science and Information Technology, Guangxi Normal University, Guilin, China;

关键词: routing protocol;    artificial intelligence;    flying ad hoc network;    genetic algorithm;    routing optimization;   

DOI  :  10.3389/fnbot.2021.697624

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown