Clustering methodology to prolong lifetime in wireless sensor networks

J. K. Deepak Keynes, D. Punithavathani
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引用次数: 5

Abstract

Wireless sensor network (WSN) is a low-powered network formed by the sensor nodes that finds application in civilian, military, visual sense models and many others. Improved network lifetime is an important task to be achieved by these sensor networks. The conservative routing protocols cannot be applied here due to its battery powered nodes. To provision energy efficiency, nodes are frequently clustered in to non-overlapping clusters. This paper gives a brief overview on clustering process in wireless sensor networks. A hybrid energy efficient distributed clustering methodology for dense wireless sensor networks, the Capacity based Clustering Low Energy Adaptive Clustering Hierarchy (CC-LEACH) has been proposed and the results have been evaluated against the existing Low Energy Adaptive Clustering Hierarchy (LEACH) clustering methodology. Simulation results clearly show an excellent improvement in throughput, packet delivery ratio and number of packets received at the base station. Also, the proposed clustering methodology show a reduction in packet drop, energy consumption and end to end latency for dense wireless sensor networks.
延长无线传感器网络寿命的聚类方法
无线传感器网络(WSN)是一种由传感器节点组成的低功耗网络,在民用、军事、视觉感知等领域都有广泛的应用。提高网络的生存期是这些传感器网络要实现的重要任务。保守路由协议不能在这里应用,因为它的电池供电节点。为了提高能源效率,节点经常被聚集到不重叠的集群中。本文简要介绍了无线传感器网络中的聚类过程。提出了一种用于密集无线传感器网络的混合节能分布式聚类方法——基于容量的聚类低能量自适应聚类层次(CC-LEACH),并与现有的低能量自适应聚类层次(LEACH)聚类方法进行了对比。仿真结果清楚地表明,在吞吐量、分组传送率和基站接收的分组数方面有了很好的改善。此外,所提出的聚类方法在密集无线传感器网络中减少了丢包、能耗和端到端延迟。
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