This paper proposes a novel approach to optimize laser uplink communication paths within a network using the Ant Colony Optimization (ACO) algorithm. In laser uplink communication systems, establishing efficient paths from nodes to base nodes is crucial for minimizing signal loss and ensuring reliable data transmission. Inspired by the foraging behavior of ants, the ACO algorithm is employed to find the shortest and most optimal paths in the network topology. Ant-like agents traverse the network graph, depositing pheromone trails on paths based on their quality, and gradually converge towards the optimal solution. The proposed approach aims to enhance network performance, minimize signal degradation, and improve overall communication reliability in scenarios where line-of-sight communication is critical.

Laser Uplink Communication, Ant Colony Optimization, Network Optimization, Path finding, Network Topology.