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A Genetic-Algorithm-based Optimization Routing for FANETs
Frontiers in Neurorobotics ( IF 2.6 ) Pub Date : 2021-05-19 , DOI: 10.3389/fnbot.2021.697624
Xing Wei 1, 2 , Hua Yang 2 , Wentao Huang 1
Affiliation  

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.

中文翻译:

基于遗传算法的FANET优化路由

针对FANETs节点具有高移动性的特点,结合基于拓扑的类路由协议按需搜索的特点,提出了一种基于遗传算法的FANET路由协议(GAR)。 FANET进行路由搜索,并考虑了链路稳定性,链路带宽,节点能量和其他因素。GAR改进了遗传算法的选择,交叉和变异运算符,因此GAR可以最终以较小的成本快速规划从通信发起节点到目标节点的优化路由。实验结果表明,GAR可以大大提高吞吐量,减少时延,提高网络的稳定性,更适合于FANET。
更新日期:2021-05-19
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