基于多维度指标遗传算法的按需距离矢量路由协议OA

Aiming at the problems of fragile paths and short network lifetime caused by the traditional Ad Hoc On-Demand Distance Vector(AODV)routing protocol,which only takes the minimum hop count as the routing decision criterion in Mobile Ad Hoc Network(MANET),this paper proposes an improved AODV Protocol Based on Multi-Dimensional Metric Genetic Algorithm(MOGA-AODV).Different from the conventional single routing metric mode,the proposed protocol constructs a composite fitness func-tion integrating node residual energy,link congestion degree and link failure probability,and adopts the genetic algorithm for path optimization to realize systematic optimization of route selection.Simulation results show that compared with the traditional AODV and AODV-M protocols,MOGA-AODV achieves substantial improvements in average end-to-end delay,packet delivery ratio and routing control overhead.It can effectively enhance network stability and extend network lifetime,and is applicable in dynamic and complex MANET scenarios.