An Improved LEACH Algorithm Based On Fuzzy C-Means Algorithm And Distributed Cluster Head Selection Mechanism.

Hassan, Ali Abdul Hussian and Othman, Mohd Fairuz Iskandar and Md Shah, Wahidah and Husien, Ali Mohamed and Hassan, Hayder Abdul Hussien (2019) An Improved LEACH Algorithm Based On Fuzzy C-Means Algorithm And Distributed Cluster Head Selection Mechanism. International Journal Of Advanced Science And Technology, 28 (1). pp. 406-415. ISSN 2005-4238

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AN IMPROVED LEACH ALGORITHM BASED ON FUZZY C-MEANS ALGORITHM AND DISTRIBUTED CLUSTER HEAD SELECTION MECHANISM.PDF

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Abstract

The beneficial capability of Wireless Sensor Networks (WSNs) to check numerous types of environmental settings via detection mechanisms on the physical state of matters discovered through researches, has attracted great interest in many quarters. Significant necessities in a majority of applications related to sensor networks are the extensive duration of network lifespan. Towards the fulfillment of such requirements, the clustering sensor nodes is an efficient method for the purpose of achieving these ends. The fundamental goal of WSN routing protocol are in maintaining the equilibrium of network energy usage, and in stretching the total network lifespan. The most famous protocol that utilized clustering technique is Low Energy Adaptive Clustering Hierarchy (LEACH). In LEACH algorithm, the random manner is used to select specific nodes as a cluster heads. In addition, the resulting clusters suffer from an imbalance in cluster size. In this study, the LEACH issues are solved by utilizing Fuzzy C-means algorithm (FCM) to form balanced clusters,which is followed by the selection of the cluster head in each cluster according to the energy of nodes and distance to the cluster centroid. The comparison of therecommended algorithm with LEACH algorithm is conducted, in relations to energy consumption and network lifetime. The result showed that our proposed algorithm has further advantage over LEACH

Item Type: Article
Uncontrolled Keywords: Wireless Sensor Networks, Clustering Technique, LEACH Algorithm, FCM Algorithm.
Divisions: Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 28 Oct 2020 14:15
Last Modified: 28 Oct 2020 14:15
URI: http://eprints.utem.edu.my/id/eprint/24366
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