摘要
针对无线传感器网络节点能量有限且不可充电的问题,本文提出基于能量均衡的非均匀分簇调度算法(EBNC_CHES)延长网络寿命。EBNC_CHES在麻雀搜索算法的基础上,引入时间竞争机制减少冗余信息获取和能耗传递的同时,采取K-means非均匀分簇均衡簇间网络能量消耗,引入改进的麻雀搜索在簇头选举中均衡簇内能耗。仿真结果表明:该算法与LEACH、EECHS_ISSADE和EESSTBRP相比,冗余信息降低了81%、80%、55%,能耗利用率提高了133%、50%、11.4%,寿命延长了52.8%、43.5%、12.2%。此算法能减少冗余信息,降低网络能耗、延长网络寿命。
Because wireless sensor network nodes have limited energy and cannot be charged,this paper proposes an energy-balanced nonuniform clustering scheduling algorithm(EBNC_CHES)to extend their network life.On the basis of the sparrow search algorithm,a time competition mechanism is introduced to EBNC_CHES to reduce redundant information acquisition and energy transmission.At the same time,it adopts K-means nonuniform cluste-ring to balance the network energy consumption between clusters and introduces improved sparrow search to balance the energy consumption within clusters in cluster head election.Compared with LEACH,EECHS_ISSADE,and EESSTBRP,The simulation results show that this algorithm reduces redundant information by 81%,80%,and 55%,improves energy utilization by 133%,50%,and 11.4%,and extends life by 52.8%,43.5%,and 12.2%,respectively.
作者
崔颖
李巧珏
高山
陈立伟
CUI Ying;LI Qiaojue;GAO Shan;CHEN Liwei(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2024年第9期1834-1839,共6页
Journal of Harbin Engineering University
基金
黑龙江省自然科学基金项目(LH2020F021)
中央高校基本科研专项基金项目(3072021CFT0802).
关键词
麻雀搜索算法
时间竞争调度
K-MEANS算法
网络能耗
非均匀分簇
层次分析法
簇头选举
能量均衡
sparrow search algorithm
time-competitive scheduling
K-means algorithm
network energy consump-tion
heterogeneous clustering
analytic hierarchy process
cluster head election
energy balance
