TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved fuzzy c-means algorithm based on a novel mechanism for the formation of balanced clusters in WSNs
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved fuzzy c-means algorithm based on a novel mechanism for the formation of balanced clusters in WSNs
Improved fuzzy c-means algorithm based on a novel mechanism for the formation of balanced clusters in WSNs
Subject
Balanced clusters, Centralized mechanism, Classification algorithm, Fuzzy c-means, Wireless sensor networks
Description
The clustering approach is considered as a vital method for many fields such as machine learning, pattern recognition, image processing, information retrieval, data compression, computer graphics, and others. Similarly, it has great significance in wireless sensor networks (WSNs) by organizing the sensor nodes into specific clusters. Consequently, saving energy and prolonging network lifetime, which is totally dependent on the sensor’s battery, that is considered as a major challenge in the WSNs. Fuzzy c-means (FCM) is one of classification algorithm, which is widely used in literature for this purpose in WSNs. However, according to the nature of random nodes deployment manner, on certain occasions, this situation forces this algorithm to produce unbalanced clusters, which adversely affects the lifetime of the network. To overcome this problem, a new clustering method called FCM-CM has been proposed by improving the FCM algorithm to form balanced clusters for random nodes deployment. The improvement is conducted by integrating the FCM with a centralized mechanism (CM). The proposed method will be
evaluated based on four new parameters. Simulation result shows that our proposed algorithm is more superior to FCM by producing balanced clusters in addition to increasing the balancing of the intra-distances of the clusters, which leads to energy conservation and prolonging network lifespan.
evaluated based on four new parameters. Simulation result shows that our proposed algorithm is more superior to FCM by producing balanced clusters in addition to increasing the balancing of the intra-distances of the clusters, which leads to energy conservation and prolonging network lifespan.
Creator
Ali Abdul-hussian Hassan, Wahidah Md Shah, Abdul-hussien Hassan Habeb,
Mohd Fairuz Iskandar Othman
Mohd Fairuz Iskandar Othman
Source
DOI: 10.12928/TELKOMNIKA.v18i6.14716
Publisher
Universitas Ahmad Dahlan
Date
October 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Ali Abdul-hussian Hassan, Wahidah Md Shah, Abdul-hussien Hassan Habeb,
Mohd Fairuz Iskandar Othman, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved fuzzy c-means algorithm based on a novel mechanism for the formation of balanced clusters in WSNs,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/4157.
Improved fuzzy c-means algorithm based on a novel mechanism for the formation of balanced clusters in WSNs,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/4157.