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基于能量均衡的非均匀分簇调度算法

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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。
Nonuniform clustering scheduling algorithm based on energy balance
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.

sparrow search algorithmtime-competitive schedulingK-means algorithmnetwork energy consump-tionheterogeneous clusteringanalytic hierarchy processcluster head electionenergy balance

崔颖、李巧珏、高山、陈立伟

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哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨 150001

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

黑龙江省自然科学基金项目中央高校基本科研专项基金项目

LH2020F0213072021CFT0802

2024

10.11990/jheu.202211017

哈尔滨工程大学学报
哈尔滨工程大学

哈尔滨工程大学学报

CSTPCD北大核心
影响因子：0.655
ISSN：1006-7043
年,卷(期)：2024.45(9)