首页> 外文会议>International conference on electronic measurement instruments;ICEMI' 2009 >Wireless Sensor Networks Routing Protocol based on Self-organizing Clustering and Intelligent Ant Colony Optimization Algorithm
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Wireless Sensor Networks Routing Protocol based on Self-organizing Clustering and Intelligent Ant Colony Optimization Algorithm

机译:基于自组织聚类和智能蚁群优化算法的无线传感器网络路由协议

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Energy efficiency is one of the most important factors in wireless sensor networks. In this paper, we present a centralized "cluster-chain" power efficient routing algorithm SOC-IACO which consists of self-organizing clustering algorithm SOC and intelligent Ant Colony Algorithm IACO. The Base station (BS) firstly uses SOC algorithm to form clusters and select associated cluster heads (one of which will be the main head) and a cluster- heads chain will be constructed; then BS uses IACO algorithm to construct a near-optimal nodes chain for each cluster. Data will be aggregated and transmitted along cluster nodes chain to cluster head. Then aggregated data of every head will be transmitted along cluster-heads chain to BS. Simulation results show that SOC-IACO reduces the node energy consumption and effectively extend the network lifetime by considering nodes distribution in clustering process and using double-layer chain structure to transmit data.
机译:能源效率是无线传感器网络中最重要的因素之一。在本文中,我们提出了一种集中式的“集群链”高效功率路由算法SOC-IACO,该算法由自组织聚类算法SOC和智能蚁群算法IACO组成。基站(BS)首先使用SOC算法形成集群,并选择关联的集群头(其中一个将成为主头),然后将构建一个集群头链。然后,BS使用IACO算法为每个群集构建接近最佳的节点链。数据将被聚集并沿着群集节点链传输到群集头。然后,每个头的聚合数据将沿着簇头链传输到BS。仿真结果表明,SOC-IACO通过在群集过程中考虑节点分布并使用双层链结构传输数据来降低节点能耗并有效延长网络寿命。

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