计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
7期
142-147,151
,共7页
无陑传感器网络%分簇算法%移动Agent%多层分簇%能量模型%能耗均衡
無陑傳感器網絡%分簇算法%移動Agent%多層分簇%能量模型%能耗均衡
무이전감기망락%분족산법%이동Agent%다층분족%능량모형%능모균형
Wireless Sensor Network(WSN)%clustering algorithm%Mobile Agent(MA)%multi-layer clustering%energy model%energy consumption balance
针对无陑传感网分簇中每轮节点能耗不均衡的问题，提出一种基于移动Agent的多层分簇(MABMC)算法。构建多层分簇能量模型，采用移动 Agent 技术选举每轮簇头并收集数据。仿真实验结果表明，与能量有效的多层分簇算法和低功耗自适应集簇分层型算法陒比，该算法可减少网络每层轮数的能耗，提高能耗均衡度，延长网络生命周期。
針對無陑傳感網分簇中每輪節點能耗不均衡的問題，提齣一種基于移動Agent的多層分簇(MABMC)算法。構建多層分簇能量模型，採用移動 Agent 技術選舉每輪簇頭併收集數據。倣真實驗結果錶明，與能量有效的多層分簇算法和低功耗自適應集簇分層型算法陒比，該算法可減少網絡每層輪數的能耗，提高能耗均衡度，延長網絡生命週期。
침대무이전감망분족중매륜절점능모불균형적문제，제출일충기우이동Agent적다층분족(MABMC)산법。구건다층분족능량모형，채용이동 Agent 기술선거매륜족두병수집수거。방진실험결과표명，여능량유효적다층분족산법화저공모자괄응집족분층형산법희비，해산법가감소망락매층륜수적능모，제고능모균형도，연장망락생명주기。
Aiming at the unbalanced problem of Wireless Sensor Network(WSN) every round node energy consumption in the clustering, this paper puts forward the Mobile Agent Based Multilayer Clustering(MABMC) multi-layer clustering algorithm, constructs Multilayer Clustering Energy Model(MCEM) energy model, through the Mobile Agent(MA) technology to elect each round cluster head and collect each round data. Simulation results show that, compared with Energy Efficiency Multilayer Clustering(EEMLC) and Low Energy Adaptive Clustering Hierarchy(LEACH) algorithm, MABMC algorithm reduces the energy consumption each round, more balanced energy consumption and prolongs the network life cycle.
