Enhancing Coverage Efficiency through Intelligent Agent Deployment in Large-Scale IoT Environment

The demand for efficient coverage in large-scale environments has pushed up the development of Internet of Things technologies. Effective deployment is more than plainly physically deploying devices. It necessitates a thorough awareness of the environment, which includes determining the best placements for both devices and their connectivity. This study examines the use of intelligent agents to enhance coverage efficiency over broad landscapes by autonomously regulating coverage gaps. A strategic framework is presented in this paper for optimizing connectivity and reachability across vast regions by deploying intelligent agents, and this study focuses on attaining good coverage with an optimum number of agents, even in harsh situations. The experiments with different scenarios demonstrate the potential outcomes and efficacy of the proposed algorithm.