Raj, Bryan and Ahmedy, Ismail and Idris, Mohd Yamani Idna and Md. Noor, Rafidah (2022) A survey on cluster head selection and cluster formation methods in wireless sensor networks. Wireless Communications and Mobile Computing, 2022. ISSN 1530-8669, DOI https://doi.org/10.1155/2022/5322649.
Full text not available from this repository.Abstract
In recent years, wireless sensor networks (WSNs) have been growing rapidly because of their ability to sense data, communicate wirelessly, and compute data efficiently. These networks contain small and low-powered sensor nodes that organize and configure themselves to carry out their functions. Even though WSNs are cheap, easy to deploy, flexible, and efficient, there are some challenges in terms of energy efficiency and network lifetime. Clustering in WSNs is the most reliable solution for the challenges, in which nodes are grouped into few clusters, and a cluster head (CH) is selected for data aggregation and data transfer to the base station (BS). However, there are still many challenges such as energy hole and isolated node problems that exist because of inefficient CH selection and cluster formation methods. In this work, we comprehensively reviewed various nonmetaheuristic and metaheuristic methods for CH selection and cluster formation that are used in networks from various environmental settings, for a better understanding of how the aforementioned problems are tackled by some authors. Moreover, the methods' parameter settings, advantages, limitations, and future directions are presented with a brief performance summary of the approaches.
Item Type: | Article |
---|---|
Funders: | Fundamental Research Grant Scheme (FRGS) (FP055-2019A) |
Uncontrolled Keywords: | Cluster head selection; Cluster formation methods; Wireless sensor networks |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 07 Sep 2023 06:55 |
Last Modified: | 07 Sep 2023 06:55 |
URI: | http://eprints.um.edu.my/id/eprint/42953 |
Actions (login required)
View Item |