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BALANCED UNEQUAL CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORK

机译:无线传感器网络的平衡不均等聚类算法

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One of the important issues of WSN (Wireless Sensor Network) is efficient utilization of limited energy resources in the battery operated sensor node. Clustering provides an efficient method for utilizing the energy efficiently and balancing the energy consumption among the sensor nodes in the networks. Existing clustering algorithms select the Cluster Head with a high residual energy and rotate the Cluster Heads at regular intervals to distribute the energy consumption among the nodes. The responsibility of Cluster Head is to gather the data from the Cluster Members and then forwarding them to the BS. It spends more energy for rotating the Cluster Head at regular interval and gathering the data from the Cluster Members. However, the energy hole problem and imbalance of energy consumptions among the nodes are not avoided in clustering. To mitigate the energy hole problem and utilize the energy efficiently, the authors have proposed a Balanced Unequal Clustering Algorithm. The simulation results prove that our algorithm is more efficient and achieves more energy savings than LEACH and HEED.
机译:WSN(无线传感器网络)的重要问题之一是在电池供电的传感器节点中有效利用有限的能源。群集提供了一种有效的方法,可有效利用能量并平衡网络中传感器节点之间的能耗。现有的聚类算法选择具有较高剩余能量的簇头,并以固定间隔旋转簇头,以在节点之间分配能耗。群集头的职责是从群集成员中收集数据,然后将其转发给BS。它需要花费更多的精力来定期旋转群集头并从群集成员收集数据。但是,集群中无法避免能量孔问题和节点之间的能量消耗不平衡。为了缓解能量孔问题并有效利用能量,作者提出了一种平衡不均等聚类算法。仿真结果证明,与LEACH和HEED相比,我们的算法更加有效,并且节省了更多能源。

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