吉首大学学报（自然科学版）2026，Vol.47Issue(4)：19-28,10.DOI:10.13438/j.cnki.jdzk.2026.04.004
基于多维度指标遗传算法的按需距离矢量路由协议
AODV Routing Protocol Based on Multi-Dimensional Metrics and Genetic Algorithm
摘要
Abstract
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.关键词
按需距离矢量路由协议/移动自组织网络/遗传算法/多维度指标Key words
Ad Hoc On-Demand Distance Vector routing/mobile ad hoc network/genetic algorithm/multi-dimensional metrics分类
信息技术与安全科学引用本文复制引用
麻浩崴,唐志军,董珊珊..基于多维度指标遗传算法的按需距离矢量路由协议[J].吉首大学学报（自然科学版）,2026,47(4):19-28,10.基金项目
国家自然科学基金-湖南科技大学转移项目(K1A169) （K1A169）
