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Sensors 2014, 14(12), 23017-23040; doi:10.3390/s141223017

A Local Energy Consumption Prediction-Based Clustering Protocol for Wireless Sensor Networks

1
School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, Shandong, China
2
Faculty of Information Technology, Macau University of Science and Technology, Macau, China
3
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong, China
*
Author to whom correspondence should be addressed.
Received: 24 October 2014 / Revised: 24 November 2014 / Accepted: 26 November 2014 / Published: 3 December 2014
(This article belongs to the Special Issue Wireless Sensor Networks and the Internet of Things)
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Abstract

Clustering is a fundamental and effective technique for utilizing sensor nodes’ energy and extending the network lifetime for wireless sensor networks. In this paper, we propose a novel clustering protocol, LECP-CP (local energy consumption prediction-based clustering protocol), the core of which includes a novel cluster head election algorithm and an inter-cluster communication routing tree construction algorithm, both based on the predicted local energy consumption ratio of nodes. We also provide a more accurate and realistic cluster radius to minimize the energy consumption of the entire network. The global energy consumption can be optimized by the optimization of the local energy consumption, and the energy consumption among nodes can be balanced well. Simulation results validate our theoretical analysis and show that LECP-CP has high efficiency of energy utilization, good scalability and significant improvement in the network lifetime. View Full-Text
Keywords: wireless sensor networks; clustering; local energy consumption prediction; energy efficiency; network lifetime wireless sensor networks; clustering; local energy consumption prediction; energy efficiency; network lifetime
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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MDPI and ACS Style

Yu, J.; Feng, L.; Jia, L.; Gu, X.; Yu, D. A Local Energy Consumption Prediction-Based Clustering Protocol for Wireless Sensor Networks. Sensors 2014, 14, 23017-23040.

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