Enhancing IoT Applications with Hybrid Artificial Immune System (HAIS) and Particle Swarm Optimization (PSO) in Heterogeneous Wireless Sensor Networks (HWSN)

Abstract

The research proposes an innovative integration of a Hybrid Artificial Immune System (HAIS) and Particle Swarm Optimization (PSO) to optimize a HWSN tailored for Internet of Things (IoT) applications. The combined HAIS-PSO framework is designed to enhance the network's performance metrics, such as energy efficiency, coverage, and data accuracy. Through rigorous simulations and practical experiments, to demonstrate the efficacy and superiority of this hybrid system in overcoming key challenges encountered in IoT deployments. This study not only contributes to advancing the optimization techniques for HWSNs but also lays a foundation for improved IoT infrastructure and services, ultimately benefiting a wide range of IoT applications. Key Words: Hybrid Artificial Immune System, Particle Swarm Optimization, HWSN, IoT, Utilize statistical analysis.