Base Station Power Shutdown using New SNARK Algorithm

Abstract

The mobile communications sector is consuming an alarming amount of energy and having a significant impact on the environment at an increasingly rapid rate as mobile data continues to advance. Because of this, research into technologies that are more efficient with energy is essential for minimizing the impact of adverse effects. This strategy will benefit from turning off the station during the off-peak hours when there is less demand for it. This article presents an algorithm for selecting a base station based on the status of the switches, which can be either ”on” or ”off.” This research makes use of the penalty function to define the risks in order to get beyond the numerous constraints that were part of the original optimizations. The outcomes of our simulations of multiple randomly created cellular networks indicate that our methodology may generate results that are satisfactory.