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基于IHBA优化模糊C均值的三维WSN分簇路由算法

3D WSN clustering routing algorithm based on IHBA optimized fuzzy C-means
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摘要 针对分簇路由算法在三维场景下能量消耗大、网络生存周期短的问题,提出了一种基于改进蜜獾算法优化模糊C均值的三维无线传感网分簇路由算法IFCRA。IFCRA分别对网络成簇、簇首选举以及数据传输阶段进行了优化。首先,采用改进蜜獾算法优化模糊C均值算法,解决模糊C均值易陷入局部最优的问题,并综合节点的距离和能量特征划分拓扑结构。其次,结合簇内节点的能量和相对距离构建最优簇首函数,平衡簇首负载。最后,采用自适应传输机制寻找中继节点,综合节点距离和能量构建最优传输路径函数,采用改进蜜獾算法进行寻优,均衡数据传输能耗。仿真结果表明,IFCRA在三维异构场景中分簇合理、能耗均衡且生存周期长。 Aiming at the problem that clustering routing algorithm in a three-dimensional(3D)scene has high energy consumption and short network lifetime,a clustering routing algorithm IFCRA for 3D wireless sensor networks based on improved honey badger algorithm optimized fuzzy C-means was proposed.The network clustering,cluster head election,and data transmission stages were optimized respectively.Firstly,the improved honey badger algorithm was used to op-timize the fuzzy C-means algorithm,solving the problem of fuzzy C-means easily falling into local optima,and the topo-logical structure was divided based on the distance and energy characteristics of nodes.Secondly,the optimal cluster head function was constructed by combining the energy and relative distance of nodes within the cluster to balance the cluster head load.Finally,an adaptive transmission mechanism was used to search for relay nodes,and the optimal transmission path function was constructed by combining node distance and energy.The improved honey badger algorithm was used to optimize the data transmission energy consumption.Simulation results show that IFCRA has reasonable clustering,
作者 杨靖 徐碧阳 李维正 李伟 朱兆强 覃涛 YANG Jing;XU Biyang;LI Weizheng;LI Wei;ZHU Zhaoqiang;QIN Tao(School of Electrical Engineering,Guizhou University,Guiyang 550025,China;XJ Electric Co.,Ltd,Xuchang 461000,China;School of Agriculture,Guizhou University,Guiyang 550025,China;China Power Construction Group Guizhou Engineering Co.,Ltd,Guiyang 550025,China)
出处 《通信学报》 EI CSCD 北大核心 2023年第12期181-192,共12页 Journal on Communications
基金 国家自然科学基金资助项目(No.61640014) 贵州省教育厅创新群体基金资助项目(No.黔教合KY字[2021]012) 贵州省科技支撑计划基金资助项目(No.黔科合支撑[2022]一般017,No.黔科合支撑[2023]一般411,No.黔科合支撑[2023]一般412,No.黔科合支撑[2019]2152) 贵州省教育厅工程研究中心基金资助项目(No.黔教技[2022]040,No.黔教技[2022]043) 中国电力建设股份有限公司科技基金资助项目(No.DJ-ZDXM-2020-19,No.DJ-ZDXM-2022-44) 贵州省双碳研究院开放课题基金资助项目(No.DCRE-2023-13)。
关键词 三维无线传感网 分簇路由 蜜獾算法 模糊C均值 能耗均衡 3D wireless sensor network clustering routing honey badger algorithm fuzzy C-means energy consumption balance
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