Cluster Head Selection in IoT Networks Using Salp Swarm Optimization
Deepika Agrawal · 2024
Two major issues concerning handling Internet of Things (IoT) networks are energy efficiency and efficient data transfer, especially in large-scale deployments. A popular technique to increase network efficiency is cluster-based routing protocols, in which data aggregation and communication are made easier by cluster heads (CHs). The lifespan and consumption of the energy in the network are directly impacted by the CHs that are chosen. Advanced methods for cluster head selection have been developed because of the increasing demand for reliable, scalable, and energy-efficient IoT networks. To maximize CH selection, the current investigation presents a unique cluster head selection technique based on Salp Swarm Optimization (SSO), which takes distance to the sink and remaining energy into account as fitness functions. When compared to conventional approaches, the proposed strategy shows substantial improvements in network lifespan and energy efficiency.