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EELCM: An Energy Efficient Load-Based Clustering Method for Wireless Mobile Sensor Networks

机译:EELCM:用于无线移动传感器网络的基于节能的基于负载的聚类方法

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摘要

Clustering techniques are employed to optimize energy consumption corresponding to different node activities and thus to conserve the limited energy of the sensor nodes. Different locations and different loads cause unbalanced energy consumption in the network nodes, consequently, the network lifetime is shortened. In this paper, a clustering method to improve energy conserving and to balance the energy consumption of cluster head is proposed. The area and the dimensions of the clusters are calculated by the algorithm in such a way that the rates of energy consumption of all the cluster heads be equalized. Also, all the intra-cluster communications are performed in single hop manner. The proposed approach presents a solution for the challenge of short lifetime of heavy burdened cluster heads around the base station. A straightforward routing scheme is proposed corresponding to the proposed clustering model to deliver the data sensed by cluster members to the base station. The performance evaluations indicate that the proposed method not only prolongs more effectively the lifetime of both cluster heads and cluster members than the other works, but also, outperforms them in balancing the energy level of the cluster heads. Consequently, the duration of activity of the cluster members in different clusters is also balanced and prolonged. Moreover, the proposed method improves the network throughput, comparing with the other works.
机译:采用聚类技术来优化对应于不同节点活动的能量消耗,从而节省传感器节点的有限能量。不同的位置和不同的负载会导致网络节点的能量消耗不平衡,从而缩短网络寿命。本文提出了一种聚类方法,以提高节能效果并平衡簇头能耗。簇的面积和尺寸通过算法以使得所有簇头的能量消耗率相等的方式计算。而且,所有集群内通信均以单跳方式执行。所提出的方法提出了一种解决方案,用于解决基站周围繁重的簇头寿命短的挑战。提出了与提出的集群模型相对应的直接路由方案,以将集群成员感测到的数据传递给基站。性能评估表明,所提出的方法不仅比其他工作更有效地延长了簇头和簇成员的寿命,而且在平衡簇头的能量水平方面也优于它们。因此,不同集群中集群成员的活动持续时间也得到了平衡和延长。此外,与其他工作相比,该方法提高了网络吞吐量。

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