基于IGWO算法的WSNs能耗均衡路由  

Energy-balanced Routing in WSNs Based on IGWO Algorithm

作　　者：谢英辉[1] XIE Yinghui(Changsha Social Work College,Changsha,Hunan,China 410004)

机构地区：[1]长沙民政职业技术学院,湖南长沙410004

出　　处：《湖南邮电职业技术学院学报》2024年第2期1-5,共5页Journal of Hunan Post and Telecommunication College

基　　金：2024年度湖南省社会科学成果评审委员会项目“基于区块链技术的双创教育生态体系构建与实践”(项目编号:XSP24YBC538);2022年度长沙市自科基金项目“基于优化蚁群算法的无线传感器能耗均衡的安全路由研究”(项目编号:kq2208240);2024年度长沙民政职业技术学院校级科研项目“基于IGWO算法的WSNs能耗均衡路由”(项目编号:24mypy71)。

摘　　要：能源限制是无线传感器网络(wireless sensor networks,WSNs)面临的一系列挑战中的首要问题。如何有效管理和利用有限的能量是设计WSNs路由协议的关键。为此,提出基于改进的灰狼优化算法的WSNs能耗均衡路由(improved grey wolf optimizer based energy balancing secure,IGWOEBS)算法,能快速搜索并建立从源节点至汇聚节点的路径,提高数据包传递率,均衡节点能耗。仿真结果表明,相比于动态分区路由算法和多策略灰狼算法,该算法延长了网络生命周期,并提升了数据收集发送传输率。Energy limitation is at the top of the list of challenges faced by wireless sensor networks(WSNs).How to effectively manage and utilize the limited energy is the key to design the WSNs routing protocols.Therefore,an improved grey wolf optimizer based energy balancing secure(IGWOEBS)algorithm is proposed for WSNs.The IGWOEBS algorithm can quickly search and establish a path from the source node to the sink node,improving the data packet delivery rate and balancing node energy consumption.Simulation results show that compared to the dynamic partition routing algorithm and multi-strategy gray wolf algorithm,IGWOEBS extends the network lifecycle and improves the data collection,transmission,and delivery rate.

关 键 词：无线传感器网络 灰狼优化算法 网络生命周期 数据传输率 

分 类 号：TN929.5[电子电信—通信与信息系统]