基于5G通信的多节点无线传感器网络路由算法研究  

Research on routing algorithm of multi node wirelesssensor networks based on 5G communication

作　　者：宋严 孟雪飞 耿庆田[2] 黄煜纯 SONG Yan;MENG Xue-fei;GENG Qing-tian;HUANG Yu-chun(Network Center,Changchun Normal University,Changchun 130032,China;College of Computer Science and Technology,Changchun Normal University,Changchun 130032,China)

机构地区：[1]长春师范大学网络中心,吉林长春130032 [2]长春师范大学计算机科学与技术学院,吉林长春130032

出　　处：《东北师大学报（自然科学版）》2024年第1期65-72,共8页Journal of Northeast Normal University(Natural Science Edition)

基　　金：吉林省科技发展计划项目(20230201070GX);吉林省教育厅科学技术研究基金资助项目(JJKH20210888KJ)。

摘　　要：提出了基于5G通信的多节点无线传感器网络路由算法.通过簇头节点在网格中心的位置以及簇内节点的能量耗损情况,计算5G通信内部产生移动汇聚节点所需的能量,得到无线传感器网格划分的最佳数量.根据网络节点发送过程以及5G通信内部节点数据聚集能力受限状况,计算出最优簇头数目,得出网络分簇结果.选择合适的访问路径,更新多条路径选择策略,增强最优路径内的信息量.实验结果表明,所提算法能有效增加网络密度适应性,降低了数据传输延迟.This paper proposes a routing algorithm for multi node wireless sensor networks based on 5G communication.According to the position of the cluster head node in the center of the grid and the energy consumption of the nodes in the cluster,the energy required to generate mobile aggregation nodes within 5G communication can be calculated.Thus,the optimal number of wireless sensor meshes is obtained.Based on the transmission process of network nodes and the limited data aggregation ability of internal nodes in 5G communication,the optimal number of cluster heads is calculated to obtain the network clustering results.Select appropriate access paths,update multiple path selection strategies,and enhance the amount of information within the optimal path.The experimental results show that the proposed algorithm can effectively increase network density adaptability and reduce data transmission delay.

关 键 词：无线传感器网络 传感器节点 能量耗损 簇内节点 适应度函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]