A Weighted Cluster Head Selection Algorithm for Energy Efficient Wireless Sensor Networks. (6th May 2022)

• Record Type: Journal Article
• Authors: Ali, Syed Asif; Sarfraz, Mubashar; Ghauri, Sajjad A.; Mahmood, Asad; Basir, Shahid; Kebedew, Teweldebrhan Mezgebo; Alam, Sheraz
• Other Names: Wang Han Academic Editor.
• Is Part Of: Journal of sensors. Volume 2022(2022)
• Publication Date: 2022-05-06
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2022/3055178
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : The wireless sensor network's (WSNs) lifetime is mainly dependent on the RE of the sensor nodes (SeN). In recent years, energy minimization in a WSN has been a prominent research topic, and numerous solutions have been proposed. This research focuses on the energy minimization of the SeNs where firstly, K-medoid clustering algorithm is applied to create clusters. Second, a weighted cluster head selection technique is used to choose a cluster head (CH) by integrating three independent weights associated with an SeN: energy, distance from the centroid, and distance from the sink node (SN). According to the energy level and distance from the SN and cluster's centre, each node is assigned a constant weight. The simulation results are compared to existing methodologies, and the results show that the suggested network's lifetime enhances.