Abstract

In this study, we provide a dynamic and energy-optimized task offloading approach for MFC. Our method takes into account how much energy FNs, cell phones, and communication cables use. We employ a dynamic programming technique to choose the job offloading strategy that minimises energy use while satisfying the application's latency requirements. We conduct a simulation-based experiment to assess our suggested strategy. The results show that our solution performs better than others in terms of energy consumption and delay efficiency. Additionally, our method may balance energy usage and delay performance while adapting to dynamic changes in the network topology.Our proposed energy-optimized and dynamic design for task offloading in MFC can enable efficient and effective utilization of computational resources in mobile devices and FNs, This may result in better functionality and longer battery life for portable electronics.