双向选择机制下权重约束的WSNs拓扑演化模型研究  

Research on topology evolution model for WSNs based on weight constraints in mutual selection mechanism

作　　者：王传云[1] 朱涛 尹燕[2] 赵军辉[1,3] WANG Chuanyun;ZHU Tao;YIN Yan;ZHAO Junhui(School of Information Engineering,East China Jiaotong University,Nanchang 330013,China;School of Software,East China Jiaotong University,Nanchang 330013,China;School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]华东交通大学信息工程学院,江西南昌330013 [2]华东交通大学软件学院,江西南昌330013 [3]北京交通大学电子与信息工程学院,北京100044

出　　处：《传感器与微系统》2021年第6期44-47,51,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61661021);江西省教育厅资助项目(GJJ150545)。

摘　　要：探讨和分析了无线传感器网络(WSNs)分簇拓扑结构和权重约束演化模型,提出了点权约束释放模型。通过双向选择机制,对节点间建立连接的方式进行了优化;通过设置节点权重最大阈值来限制点权增长,并对部分达到最大阈值的节点解除权重约束效果,新节点可以就近连接被解除权重约束的节点,减少节点的能量损耗。通过MATLAB软件仿真,将所提模型与双向选择模型和权重约束模型进行对比,簇头分布更均匀,点权分布更合理。模型有效降低了WSNs的能量损耗,延长了WSNs中节点的寿命。Clustering topology structure and weight constraint evolution model for WSNs are discussed and analyzed, and a node weight constraint release model is proposed.The proposed model optimizes the method establishing connections between nodes by mutual selection mechanism, limit nodes weight growth by setting node weight maximum threshold, and released the weight constraint effect on the nodes which reach the maximum threshold.And then, a new node is permitted to connect with the nearby node whose weight constraint is released, it is useful for reducing the energy loss of the node.Using MATLAB software simulation, compared the proposed model with the mutual selection model and the weight constraint model, the proposed model is more reasonable than the other two models in the distribution of the cluster head and the node weight.The proposed model reduces the energy consumption of WSNs effectively, which helps to extend the life of nodes in WSNs.

关 键 词：复杂网络 无线传感器网络 大规模 双向选择机制 点权约束 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]