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Review Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1640 - 1646 | India
A Comprehensive Review of Cluster Head Selection
Abstract: The resource management, energy consumption and load balancing are important challenges in the dynamic and massive cloud systems. However, the dynamic and large-scale cloud systems pose a challenge to effective resource management, energy consumption and load balancing strategies. In this case, the cluster head (CH) selection plays an important role in improving the system performance by forming clusters, reducing communication cost, and improving resource utilization. The traditional CH selection techniques do not generally solve multi-objective optimization problems and hence face performance issues. Swarm intelligence algorithms have been widely applied to address these challenges as they are adaptable, resilient and can be applied to solve complex optimization problems. This review paper examines the existing approaches of cluster head selection and resource allocation in cloud computing using swarm intelligence and hybrid approaches. The review highlights the major research problems of high computation time, lack of real-time responsiveness, and generalization. It also highlights the opportunities and future research in developing efficient, lightweight, and intelligent optimization solutions. The study aims to provide useful insights to researchers to develop efficient and adaptive solutions to future cloud computing.
Keywords: Cluster head selection, Swarm intelligence, Cloud computing, Load balancing, Energy efficient
How to Cite?: M. Sathiya, Dr. D. Rajakumari, "A Comprehensive Review of Cluster Head Selection", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1640-1646, https://www.ijsr.net/getabstract.php?paperid=SR26426131416, DOI: https://dx.dx.doi.org/10.21275/SR26426131416