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Sensors 2018, 18(5), 1520; https://doi.org/10.3390/s18051520

An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks

Division of Computer Science and Engineering, Chonbuk National University, Jeonju 54896, Jeonbuk, Korea
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Received: 4 April 2018 / Revised: 7 May 2018 / Accepted: 8 May 2018 / Published: 11 May 2018
(This article belongs to the Section Sensor Networks)
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Abstract

Clustering is an effective way to prolong the lifetime of a wireless sensor network (WSN). The common approach is to elect cluster heads to take routing and controlling duty, and to periodically rotate each cluster head’s role to distribute energy consumption among nodes. However, a significant amount of energy dissipates due to control messages overhead, which results in a shorter network lifetime. This paper proposes an energy-centric cluster-based routing mechanism in WSNs. To begin with, cluster heads are elected based on the higher ranks of the nodes. The rank is defined by residual energy and average distance from the member nodes. With the role of data aggregation and data forwarding, a cluster head acts as a caretaker for cluster-head election in the next round, where the ranks’ information are piggybacked along with the local data sending during intra-cluster communication. This reduces the number of control messages for the cluster-head election as well as the cluster formation in detail. Simulation results show that our proposed protocol saves the energy consumption among nodes and achieves a significant improvement in the network lifetime. View Full-Text
Keywords: wireless sensor network; clustering; routing; network lifetime wireless sensor network; clustering; routing; network lifetime
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Hosen, A.S.M.S.; Cho, G.H. An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks. Sensors 2018, 18, 1520.

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