Energy Optimization for Homogeneous Fog Networks

Abstract

The complete energy efficiency of homogeneous fog networks is examined in this study, including loads, circuit calculation, and electricity use, using a thorough PSO. This investigation. This model allows us to formulate the energy efficiency optimization problem with practical constraints for the computing resources available in helper nodes and unused spectrum for future intelligent Internet of Things (IoT) applications in nearby environments, allowing us to investigate the compromise between performance and energy costs in collaborative loading tasks, allowing us to formulate the energy efficiency optimization problem with practical constraints for the computing resources available in helper nodes and unused spectrum for future intelligent Internet of Things (IoT) applications in nearby environments. Under plausible modulation schemes, our complex technique provides the optimal planning of a task node and numerous nearby help nodes. The compromise between energy economy and performance planning in homogenous fog networks is demonstrated by extensive simulation results.