摘要
分簇路由协议被广泛用于提高无线传感器网络的能量效率,但簇内的多对一通信和簇间的多跳通信容易造成负载和能量消耗的不平衡,从而缩短网络生命周期。本研究提出一种将哈里斯鹰优化算法和混沌遗传算法相结合的分簇路由协议CEHHO-CGA,能够节省能源消耗并有效延长网络生命周期。在CEHHO-CGA中,采用哈里斯鹰优化算法搜索最佳簇头并成簇,采用混沌映射与Keyhole成像反向学习使种群多样化,避免陷入局部最优,利用负载和能耗均衡为适应度函数的混沌遗传算法来确定最优路由路径。此外,该协议采用动态精英池的多精英策略来提高收敛速度。仿真结果表明,CEHHO-CGA在能量消耗、网络生命周期以及吞吐量方面均优于主流分簇路由协议。
Clustering and routing protocols are widely used to improve the energy efficiency of wireless sensor networks.However,manyto-one communication within clusters and multi-hop communication between clusters can easily lead to imbalanced load and energy consumption,thereby shortening the network lifetime.This study proposes a clustering and routing protocol,CEHHO-CGA,which combines the Harris Hawk Optimization(HHO)algorithm with a chaotic genetic algorithm to reduce energy consumption and effectively extend network lifetime.In CEHHO-CGA,the HHO algorithm is employed to search for the optimal cluster heads and perform clustering,while chaotic mapping and keyhole imaging-based opposition learning are used to diversify the population and avoid local optima.The optimal routing path is determined using a chaotic genetic algorithm with a fitness function based on load and energy consumption balance.Moreover,the protocol adopts a dynamic elite pool multi-elite strategy to accelerate convergence.Simulation results demonstrate that CEHHO-CGA outperforms mainstream clustering and routing protocols in terms of energy consumption,network lifetime,and throughput.
作者
张赢文
ZHANG Yingwen(College of Computer Science and Technology,Changchun Normal University,Changchun 130032,China)
出处
《长春师范大学学报》
2025年第8期47-54,共8页
Journal of Changchun Normal University
关键词
无线传感器网络
哈里斯鹰优化算法
混沌遗传算法
多精英策略
能量效率
wireless sensor network
Harris Hawk Optimization algorithm
chaotic genetic algorithm
multi-elite strategy
energy efficiency
