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Sensors 2015, 15(12), 31108-31124; doi:10.3390/s151229836

A Novel Energy-Aware Distributed Clustering Algorithm for Heterogeneous Wireless Sensor Networks in the Mobile Environment

1
College of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
2
Lawrence Berkeley National Laboratory, University of California, Oakland, CA 94612, USA
3
Yun Nan Electric Power Test & Research Institute Group CO., Kunming 650217, China
4
College of Engineering, Michigan State University, East Lansing, MI 48824, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Neal N. Xiong
Received: 18 September 2015 / Revised: 25 November 2015 / Accepted: 30 November 2015 / Published: 10 December 2015
(This article belongs to the Special Issue Mobile Sensor Computing: Theory and Applications)
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Abstract

In order to prolong the network lifetime, energy-efficient protocols adapted to the features of wireless sensor networks should be used. This paper explores in depth the nature of heterogeneous wireless sensor networks, and finally proposes an algorithm to address the problem of finding an effective pathway for heterogeneous clustering energy. The proposed algorithm implements cluster head selection according to the degree of energy attenuation during the network’s running and the degree of candidate nodes’ effective coverage on the whole network, so as to obtain an even energy consumption over the whole network for the situation with high degree of coverage. Simulation results show that the proposed clustering protocol has better adaptability to heterogeneous environments than existing clustering algorithms in prolonging the network lifetime. View Full-Text
Keywords: heterogeneous wireless sensor networks; sensor computing; distributed clustering algorithm; collaborative information processing; energy efficient; mobile sensor heterogeneous wireless sensor networks; sensor computing; distributed clustering algorithm; collaborative information processing; energy efficient; mobile sensor
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

Gao, Y.; Wkram, C.H.; Duan, J.; Chou, J. A Novel Energy-Aware Distributed Clustering Algorithm for Heterogeneous Wireless Sensor Networks in the Mobile Environment. Sensors 2015, 15, 31108-31124.

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