Abstract
In this paper we propose an energy efficient clustering algorithm for maximizing the lifetime of WSNs. The proposed scheme decides the cluster head based on the energy level of the nodes, while tree topology is adopted to connect the nodes inside each cluster. A new model for deciding an optimal number of clusters is also derived. Computer simulation reveals that the proposed scheme significantly extends the network lifetime and message delivery ratio compared to the existing schemes.
Highlights
Advanced integrated circuit technologies have led to the development of small sensor nodes equipped with sensing, data processing and communication capability
Proxy-Enable Adaptive Clustering Hierarchy for wireless sensor network (PEACH) [23] improved Low-Energy Adaptive clustering Hierarchy (LEACH) by selecting a proxy node which can assume the role of the current CH of weak power during one round of communication
In this paper we have proposed an energy efficient clustering protocol for maximizing the network lifetime of wireless sensor network
Summary
Advanced integrated circuit technologies have led to the development of small sensor nodes equipped with sensing, data processing and communication capability. The clustering approach allows a WSN of high scalability, less consumed energy and longer lifetime for the whole network [12] This is mainly due to the fact that most of the sensing, data processing and communication activities can be performed within the clusters. Energy consumption at a CH is significantly larger than that at other ordinary sensor nodes because CH is responsible for delivering aggregated data in its cluster to the BS. This problem can be relieved by rotating the role of CH among all nodes. In this paper we propose an energy efficient clustering protocol employing tree topology for selforganizing WSN.
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