Topology Control Algorithm for Fair Energy Distribution of 5G UAV Swarm System

Abstract

Since the advent of 5G and beyond, the use of unnamed aerial vehicles (UAVs) has increased significantly. Along with that, the issue of energy optimization has arisen. Although the nodes in a UAV swarm network remain stable until they have a sufficient amount of residual energy, 5G and beyond have the potential to support a massive number of devices in a single network. More devices imply more connections between nodes, and more connections signify increased energy consumption and a shorter network lifetime. In order to address this issue, we use statistics to create the ED-Index. This algorithm guides us in developing an algorithm that balances residual energy across the network, such that nodes with high residual energy have a large number of links and vice versa. This increases the network’s lifetime, and the algorithm that creates this topology is referred to as the energy distribution topology control algorithm. The results indicate that networks with a higher ED-Index value have a longer lifetime as compared to those with a lower ED-Index value