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一种基于WSN的能源有效的被动聚类模式

A Energy Efficient Passive Clustering Scheme for Wireless Sensor Network
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摘要 在分析无线传感器网络(WSN)的能量消耗模型的基础上,提出了一种新的层次型、分布式的能源有效的被动聚类模式EEPCS。采用"智能延迟策略"和"智能启发式选择"产生类首和网关结点,改变了传统被动聚类模式中通信结点能源消耗过快、网络不连通等缺点。理论分析和实验结果表明,EEPCS不仅能够节省通信结点的能量消耗,而且使能量在节点间均衡消耗,延长了网络的生存周期。 Based on analyzing the energy model of WSN, a new hierarchical distributed energy efficient passive clustering scheme （EEPCS） is proposed. It exploits ＂delayed intelligence＂ to select the Cluster Head and employs ＂Heuristic intelligence selection＂ to generate the Gateway Nodes . Compared with conventional passive clustering scheme, EEPCS changes the rapid energy dissipation of nodes and the disconnection of WSN and so on. It is proved that EEPCS can not only save energy, but also balance energy dissipation of wireless sensor nodes, which will prolong the network life.
作者 洪岩 尚艳艳 刘焕娣
机构地区 济南市城市规划咨询服务中心 山东大学第二医院
出处 《信息技术与信息化》 2007年第6期19-21,共3页 Information Technology and Informatization
关键词 WSN 被动聚类 智能延迟策略 EEPCS WSN Passive cluster Delayed Intelligence EEPCS
分类号 TP212.9 [自动化与计算机技术—检测技术与自动化装置] TN929.5 [电子电信—通信与信息系统]
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参考文献6

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信息技术与信息化
2007年 第6期

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