Modified EECPK-means mid-point algorithm for enhancing network life expactancy in WSN

Lovepreet Kaur, Sandeep Kad
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引用次数: 3

Abstract

The nodes in wireless sensor networks are operated by batteries. To enhance the power usage of the nodes, clustering is one among the well-known approaches used by the researchers. Clustering is usually done using LEACH protocol, but this selects cluster heads randomly, which causes uneven formation of clusters. This paper proposes modified mid-point algorithm along with k-means approach (EECPK) is used to form balanced clusters. The CHs perform multi-hop communication with BS if distance is greater than threshold value. Also, the concept of threshold energy is used to rotate the CHs and communication range of nodes is also taken in account. The performance has been analyzed based on throughput, packet delivery ratio and energy consumption. The value of PDR obtained was 0.75, throughput's value was around 16875 Kbps and network ran for around 35 seconds.
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改进的EECPK-means中点算法提高WSN网络寿命
无线传感器网络中的节点是由电池驱动的。为了提高节点的功耗利用率,聚类是研究人员常用的方法之一。聚类通常使用LEACH协议完成,但这种协议随机选择簇头,导致簇的形成不均匀。本文提出了采用改进的中点算法和k-means方法(EECPK)来形成平衡聚类。当距离大于阈值时,CHs与BS进行多跳通信。同时,采用阈值能量的概念对CHs进行旋转,并考虑了节点的通信范围。从吞吐量、分组传送率和能耗等方面分析了该算法的性能。得到的PDR值为0.75,吞吐量值约为16875 Kbps,网络运行时间约为35秒。
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