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A Compact Bat Algorithm for Unequal Clustering in Wireless Sensor Networks

1,2,3, 1,4,5,* and 1,3,*
1
Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian 350118, China
2
Intelligent Information Processing Research Center, Fujian University of Technology, Fuzhou, Fujian 350118, China
3
Department of Information Technology, Haiphong Private University, Haiphong 180000, Vietnam
4
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266510, China
5
College of Informatics, Chaoyang University of Science and Technology, Taichung 413, Taiwan
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 1973; https://doi.org/10.3390/app9101973
Received: 6 April 2019 / Revised: 2 May 2019 / Accepted: 7 May 2019 / Published: 14 May 2019
(This article belongs to the Section Computing and Artificial Intelligence)
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Abstract

Everyday, a large number of complex scientific and industrial problems involve finding an optimal solution in a large solution space. A challenging task for several optimizations is not only the combinatorial operation but also the constraints of available devices. This paper proposes a novel optimization algorithm, namely the compact bat algorithm (cBA), to use for the class of optimization problems involving devices which have limited hardware resources. A real-valued prototype vector is used for the probabilistic operations to generate each candidate for the solution of the optimization of the cBA. The proposed cBA is extensively evaluated on several continuous multimodal functions as well as the unequal clustering of wireless sensor network (uWSN) problems. Experimental results demonstrate that the proposed algorithm achieves an effective way to use limited memory devices and provides competitive results. View Full-Text
Keywords: compact bat algorithm; wireless sensor networks; swarm intelligence; unequal clustering compact bat algorithm; wireless sensor networks; swarm intelligence; unequal clustering
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Nguyen, T.-T.; Pan, J.-S.; Dao, T.-K. A Compact Bat Algorithm for Unequal Clustering in Wireless Sensor Networks. Appl. Sci. 2019, 9, 1973.

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