Abstract
AbstractIn the latest years, Unmanned Aerial Vehicles (UAVs) are widely served to provide network services as aerial base stations for terrestrial users. The deployment optimization for UAVs is essential to improve the service efficiency, which is to resolve the location of UAVs subject to their battery limitation, environmental constraints and the distribution of users. This article carries on an overall review on the models and algorithms for the UAV deployment problem in the recent years. The influencing factors to the UAV deployment are analyzed, including the coverage radius, energy consumption, connectivity, interference, and environment. The modeling methods and the intelligent algorithms to solve the problem are reviewed. The main challenges and future research direction are discussed.KeywordsUnmanned Aerial VehiclesDeploymentLocationHeuristic
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