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An energy-efficient unequal clustering mechanism for wireless sensor networks

机译:用于无线传感器网络的节能不等聚类机制

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Clustering provides an effective way for prolonging the lifetime of a wireless sensor network. Current clustering algorithms usually utilize two techniques, selecting cluster heads with more residual energy and rotating cluster heads periodically, to distribute the energy consumption among nodes in each cluster and extend the network lifetime. However, they rarely consider the hot spots problem in multihop wireless sensor networks. When cluster heads cooperate with each other to forward their data to the base station, the cluster heads closer to the base station are burdened with heavy relay traffic and tend to die early, leaving areas of the network uncovered and causing network partition. To address the problem, we propose an energy-efficient unequal clustering (EEUC) mechanism for periodical data gathering in wireless sensor networks. It partitions the nodes into clusters of unequal size, and clusters closer to the base station have smaller sizes than those farther away from the base station. Thus cluster heads closer to the base station can preserve some energy for the inter-cluster data forwarding. We also propose an energy-aware multihop routing protocol for the inter-cluster communication. Simulation results show that our unequal clustering mechanism balances the energy consumption well among all sensor nodes and achieves an obvious improvement on the network lifetime.
机译:群集提供了一种有效的方法,可以延长无线传感器网络的寿命。当前聚类算法通常使用两种技术,周期性地选择具有更多残留能量和旋转簇头的簇头,以分配每个簇中的节点之间的能量消耗并扩展网络寿命。然而,它们很少考虑多跳无线传感器网络中的热点问题。当群集头相互协作以将数据转发到基站时,较近基站的簇头被重载,并且繁重的继电器流量,并且倾向于提前死亡,揭示网络的区域揭示并导致网络分区。为了解决问题,我们提出了一种节能不等聚类(EEUC)机制,用于无线传感器网络中的期刊数据。它将节点分成不等大小的簇,并且靠近基站的集群比远离基站的尺寸更小的尺寸。因此,靠近基站的群集头可以为群集间数据转发保留一些能量。我们还提出了一种用于群集间通信的能量感知多彩色路由协议。仿真结果表明,我们不等的聚类机制在所有传感器节点中平衡了能量消耗,并实现了网络寿命的显而易见。

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