基于自适应权重的无线传感器网络动态成簇算法  

Dynamic Clustering Algorithm for WSN Based on Adaptive Weight

作　　者：薛晶晶 雷文礼[1,2] 徐翔 XUE Jingjing;LEI Wenli;XU Xiang(School of Physics and Electronic Information,Yan’an University;Shaanxi Key Laboratory of intelligent Processing for Big Energy Data;Publicity Department of Yan’an University,Yan’an 716000,China)

机构地区：[1]延安大学物理与电子信息学院 [2]陕西省能源大数据智能处理省市共建实验室 [3]延安大学宣传部,陕西延安716000

出　　处：《延安大学学报（自然科学版）》2021年第4期61-65,共5页Journal of Yan'an University：Natural Science Edition

基　　金：延安市科学技术研究发展计划项目(2018KG-01);延安大学科研计划项目(YDQ2018-12,YDQ2019-17);延安大学博士科研启动项目(YDBK2018-39)。

摘　　要：为了有效提高无线传感器网络使用寿命,提出了一种能量高效的动态成簇算法(EEDCA)。该算法将网络分成不规则的六边形网格,并将节点通过Voronoi图分成一定数量的簇,每个簇剩余能量最多的节点被选为簇头。在信息传输过程中,簇内节点采用单跳传输,簇头节点根据距基站的距离选择多跳传输或单跳传输。仿真结果表明,该算法可以更好地平衡节点能耗,提高能源效率,延长网络寿命。In order to prolong the lifetime of wireless sensor networks,a dynamic clustering algorithm with high energy efficiency is proposed(EEDCA).The algorithm divides the network into irregular hexagonal grids and divides the nodes into a certain number of clusters by Voronoi diagram.The node with the most energy remaining in each cluster is chosen as the cluster head.In the process of information transmission,the nodes in the cluster adopt single-hop transmission,and the cluster head nodes choose multi-hop transmission or single-hop transmission according to the distance from the base station.Simulation results showed that EEDCA can better balance node energy consumption,improve energy efficiency and prolong network lifetime.

关 键 词：无线传感器网络 动态成簇 生命周期 能量消耗 

分 类 号：TN409[电子电信—微电子学与固体电子学]