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Sensors 2017, 17(7), 1554; https://doi.org/10.3390/s17071554

Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

1
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA
3
Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
*
Author to whom correspondence should be addressed.
Received: 4 April 2017 / Revised: 22 June 2017 / Accepted: 29 June 2017 / Published: 3 July 2017
(This article belongs to the Special Issue Smart Communication Protocols and Algorithms for Sensor Networks)
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Abstract

Due to the high-energy efficiency and scalability, the clustering routing algorithm has been widely used in wireless sensor networks (WSNs). In order to gather information more efficiently, each sensor node transmits data to its Cluster Head (CH) to which it belongs, by multi-hop communication. However, the multi-hop communication in the cluster brings the problem of excessive energy consumption of the relay nodes which are closer to the CH. These nodes’ energy will be consumed more quickly than the farther nodes, which brings the negative influence on load balance for the whole networks. Therefore, we propose an energy-efficient distributed clustering algorithm based on fuzzy approach with non-uniform distribution (EEDCF). During CHs’ election, we take nodes’ energies, nodes’ degree and neighbor nodes’ residual energies into consideration as the input parameters. In addition, we take advantage of Takagi, Sugeno and Kang (TSK) fuzzy model instead of traditional method as our inference system to guarantee the quantitative analysis more reasonable. In our scheme, each sensor node calculates the probability of being as CH with the help of fuzzy inference system in a distributed way. The experimental results indicate EEDCF algorithm is better than some current representative methods in aspects of data transmission, energy consumption and lifetime of networks. View Full-Text
Keywords: non-uniform distribution; distributed clustering; load balance; TSK fuzzy model; neighbor nodes’ energy non-uniform distribution; distributed clustering; load balance; TSK fuzzy model; neighbor nodes’ energy
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Zhang, Y.; Wang, J.; Han, D.; Wu, H.; Zhou, R. Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks. Sensors 2017, 17, 1554.

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