Optimizing IoT Cluster Formation and Path Selection Using Fuzzy Rules and Metaheuristic Techniques

Internet of Things has emerged as a vital technology that connects a variety of devices to enable the seamless exchange and processing of data. Nevertheless, the extensive and diverse character of IoT environments presents substantial security challenges, requiring the implementation of security mechanisms that are both efficient and robust. This paper suggests a novel method for improving the security and performance of IoT by combining Hybrid Gravitational Search Algorithm Optimisation (HGSAO) with Fuzzy Logic-based Secure Cluster Formation. The three-tier architecture that has been developed for this purpose includes mutual authentication, secure cluster formation, and optimal path selection. The methodology guarantees an optimal equilibrium between security and performance by reducing computational complexity and energy consumption. The efficacy of the proposed system in the secure and efficient management of IoT networks is underscored by its superior packet delivery ratio and throughput in comparison to existing methods.