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

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.

Creator

Ali Abdul-hussian Hassan, Wahidah Md Shah, Abdul-hussien Hassan Habeb,
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

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

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.