Publication | Open Access
Joint Coverage, Connectivity, and Charging Strategies for Distributed UAV Networks
149
Citations
31
References
2018
Year
EngineeringAerial RoboticsEnergy ManagementAerospace EngineeringUnmanned SystemSpace-air-ground Integrated NetworkJoint CoverageSystems EngineeringDeployment StrategiesPower ControlUnmanned VehicleCombinatorial OptimizationDistributed DeploymentUnmanned Aerial SystemsAir Vehicle SystemStationary CoverageUnmanned Aerial VehiclesOperations Research
This paper proposes deployment strategies for consumer unmanned aerial vehicles (UAVs) to maximize the stationary coverage of a target area and to guarantee the continuity of the service through energy replenishment operations at ground charging stations. The three main contributions of our work are as follows. 1) A centralized optimal solution is proposed for the joint problem of UAV positioning for a target coverage ratio and scheduling the charging operations of the UAVs that involves travel to the ground station. 2) A distributed game-theory-based scheduling strategy is proposed using normal-form games with rigorous analysis on performance bounds. Furthermore, a bio-inspired scheme using attractive/repulsive spring actions are used for distributed positioning of the UAVs. 3) The cost-benefit tradeoffs of different levels of cooperation among the UAVs for the distributed charging operations is analyzed. This paper demonstrates that the distributed deployment using only 1-hop messaging achieves approximation of the centrally computed optimum, in terms of coverage and lifetime.
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