基于改进Harris鹰优化的无线传感器网络分簇协议  

Improved Harris Hawk Optimization Based Clustering Protocol for Wireless Sensor Networks

作　　者：胡黄水[1] 范新纪 邓育欢 HU Huangshui;FAN Xinji;DENG Yuhuan(College of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China)

机构地区：[1]长春工业大学计算机科学与工程学院,长春130012

出　　处：《吉林大学学报（理学版）》2024年第5期1228-1234,共7页Journal of Jilin University:Science Edition

基　　金：吉林省科技发展计划技术攻关项目(批准号:20210201051GX)。

摘　　要：针对无线传感器网络因能量效率低而导致网络生命周期短的问题,提出一种新的基于改进Harris鹰优化算法的无线传感器网络分簇协议(improved Harris hawk optimization based clustering protocols for wireless sensor networks, IHHOC). IHHOC采用改进的Harris鹰优化算法获得最优簇头集,首先通过Sobol序列初始化种群,并考虑剩余能量、与基站距离以及节点密度这3个参数定义适应度函数,通过探索、过渡和开发逐次迭代最终求得最优解;其次,采用高斯随机游走策略避免IHHOC陷入局部最优.成簇后,在簇头邻近簇中基于剩余能量、与簇头和基站距离找到最优转发节点,进一步降低网络能量消耗.仿真实验结果表明,IHHOC能有效提高网络能量效率,增大网络吞吐量,延长网络生命周期.Aiming at the problem of short network life cycle due to low energy efficiency in wireless sensor networks,we proposed a novel improved Harris haw k optimization algorithm based clustering protocols for wireless sensor networks(IHHOC).IHHOC adopted the improved Harris hawk optimization algorithm to obta in the optimal cluster head set.Firstly,the population was initialized by the Sobol sequence and the fitness function was defined by considering the three parame ters of residual energy,the distance to the base station,and the density of nodes,and the optimal solution was finally obtained by iterating through the explo ration,transition,and exploitation one after another.Secondly,Gaussian stochastic wandering strategy was used to avoid IHHOC falling into local optimum.After clustering,the optimal forwarding nodes were found in the neighboring clusters of the cluster head based on the residual energy,distance from the cluster head and base station to further reduce the network energy consumption.The simulation experiment results show that IHHOC can effectively improve the network energy effici ency,increase the network throughput,and extend the network life cycle.

关 键 词：无线传感器网络 分簇 Harris鹰优化 网络生命周期 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]