An Improved Bat Optimization Algorithm for Knowledge Discovery for Routing and Energy Efficiency in the Internet of Things Environment

An improved optimization algorithm, IBA, enhances routing and energy efficiency in IoT environments. As energy conservation becomes increasingly vital in our technological landscape, managing resource consumption is crucial for sustainability. The Internet of Things (IoT) has revolutionized connectivity, enabling diverse applications across various sectors, from smart homes to industrial systems. The impending 5G technology promises to accelerate this transformation further, offering unprecedented speed and coverage. However, with the exponential growth in mobile data transmission, network operators face the challenge of meeting escalating demands. Bio-inspired optimization techniques, like the Bat Algorithm (BA), have emerged as promising solutions due to their computational efficiency and applicability to IoT challenges. The proposed IBA builds upon BA principles, introducing novel enhancements to address specific limitations. Through methodical testing, IBA shows better results in packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead than current protocols. These findings highlight the capability of optimized algorithms to improve IoT system performance and address changing application needs.