Solving UAV Localization Problem with Artificial Bee Colony (ABC) Algorithm

Abstract

Driven by the wireless communication, sensor, vision system and battery technologies, unmanned aerial vehicles for short UAVs have started to be used for solving social, commercial or military applications including traffic surveillance, package transportation, wildlife research and critical area monitoring. In addition to the mentioned usage scenarios of the UAVs, an UAV or a set of UAVs can be successfully used as wireless base station or stations for the users inside a building when mobile cellular networks are down. In this study, wireless base station role is assigned to a UAV and its optimal location is tried to be determined with the Artificial Bee Colony (ABC) algorithm. Experimental studies carried out with different building scenarios showed that ABC algorithm is capable of finding more appropriate location for the UAV compared to the Particle Swarm Optimization (PSO) algorithm.