3D Deployment of Multiple UAVs for Emergent On-Demand Offloading
Allafi Omran, Lokman Sboui, Michel Kadoch, Zhengwei Chang, Jizhao Lu, Rongke Liu
Abstract
In this paper, we address the problem of placing the unmanned aerial vehicles (UAVs) in an area covered by a congested or damaged base station (BS). We aim to cover the affected users while maximizing the operator's profit. We proposed to adopt the k-means method associated with the pattern search technique to find the optimal UAVs 3D locations. We show in the simulations, that our approach achieves higher profit and a higher load balancing index among UAVs.
Topics & Concepts
Software deploymentComputer scienceBase stationProfit (economics)Cover (algebra)Real-time computingDistributed computingComputer networkEngineeringOperating systemEconomicsMicroeconomicsMechanical engineeringUAV Applications and OptimizationVideo Surveillance and Tracking MethodsRobotics and Sensor-Based Localization