Clustering Approach in Wireless Sensor Networks Based on K-means: Limitations and Recommendations
Ali Abdul-Hussian Hassan1, Wahidah Md Shah2, Ali Mohamed Husien3, Mohammed Saad Talib4, Ali Abdul-Jabbar Mohammed5, Mohd Fairuz Iskandar6
1Ali Abdul-Hussian Hassan, Faculty of Information and Communications Technology, Universiti Teknikal Malaysia.
2Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
3Wahidah Md Shah, College of Education for Pure Sciences, University of Kerbala, Iraq.
4Ali Mohamed Husien, College of Administration and Economics, University of Babylon, Iraq.
Manuscript received on 02 May 2019 | Revised Manuscript received on 14 May 2019 | Manuscript Published on 23 May 2019 | PP: 119-126 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10200476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Clustering approach in wireless sensor network is very important, the structure of cluster and how to improve it is a first challenge that faced the developers, because of it represent as a base for design the cluster-based routing protocol. One of most popular cluster algorithms that utilizing into organize sensor nodes is K-means algorithm. This algorithm has beneficial in construct the clusters for various real-world applications of WSN.K-means algorithm suffering from many drawbacks that hampering his work. The lack of adequate studies that investigates in the limitations of this algorithm and seek to propose the solutions motivated us to do this study. In this paper the limitations of K-means and some suggestions are proposed. These suggestions can improve the performance of K-means, which will be reflected on saving the energy for sensor nodes and consequently maximize the lifetime of the wireless sensor networks.
Keywords: Clustering Wireless Sensor Networks Protocol Algorithm.
Scope of the Article: Clustering