Estimation of Optimum Route Calculation via Multi Objective Optimization Technique for IoT Enabled WSN

The Internet of Things (IoT) enabled Wireless Sensor Network (WSN) has been rapidly growing in popularity due to its ability to quickly connect various sensor nodes and provide a network of connected devices. Intelligent mechanisms are required to effectively manage such networks, and Multi-Objective Optimization is an emerging technique used in this regard. This technique is focused on exploring the combination of objectives that would optimize the system performance. This can include metrics such as energy consumption, scalability, cost, security, and data accuracy. By combining optimization objectives into a single problem, multi-objective optimization allows for a more comprehensive approach for managing these networks. This paper goes over the major aspects of Multi-Objective Optimization for an IoT enabled WSN, such as the impact on performance, and the different optimization techniques that are used. Finally, it explores the potential applications and future prospects of this technique in the field of IoT.