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中文摘要：
提出了一种基于Multi-Agent的多权值优化分簇算法,算法定义了多种Agent类型,在簇头选举阶段选取了影响簇头合理分布的多个网络参数,在簇的更新阶段采用移动Agent启发机制进行簇的局部更新.仿真结果表明,算法不仅可以选出合理的簇头,使能量均匀的消耗,还可以节省整个网络的能量消耗.
英文摘要：
Amulti-weighted optimization clustering algorithm based on the multi-Agent is presented in the paper . The algorithm defines multiple Agent types ,considers the multiple network parameters that have a great influence on the reasonable distribution of cluster heads when choosing the cluster heads ,takes the mobile Agent inspired mechanism for partial updates in the update stage .The simulation results show that the algorithm not only can choose the reasonable cluster heads to make the energy consumption evenly but also can save the energy consumption of the whole network .
同期刊论文项目
同项目期刊论文
MODELING AND SIMULATION RESEARCH OF VIRTUAL ENVIRONMENT SYSTEM OF COMPLEX COALMINE USING MULTI-AGENT
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