A New Multi/Many-Objective Optimization Approach in Wireless Sensor Networks for E-Commerce Applications

The optimisation of Wireless Sensor Networks (WSNs) is critical in the ever-changing environment of E-commerce. This work describes a unique technique for designing and modelling energy-efficient WSNs adapted to the specific demands of E-commerce applications. This study investigates the complex connection between network performance, data collecting, and energy saving using cutting-edge AI and optimisation approaches. The suggested Multi/Many-optimisation algorithm tries to establish a delicate balance by providing smooth data transmission and collecting in E-commerce settings while minimising energy usage through the incorporation of intelligence algorithms. This research contributes to the advancement of operational efficiency and sustainability within the E-commerce business by addressing this essential part of E-commerce infrastructure, paving the way for more cost-effective and environmentally responsible E-commerce infrastructure. The fundamental goal of this research study is to discover the Pareto-optimal front in Multi/Many-objective optimisation, which contains the subtle trade-offs between Multi/Many-objectives. This allows decision-makers to weigh the frequently contradictory aims of WSN networks. The suggested technique, which is recognised for its adaptability, variety, and multi-objective optimisation capabilities, prepares the way for the full potential of E-commerce applications and services.