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Joint Coverage, Connectivity, and Charging Strategies for Distributed UAV Networks

机译:分布式无人机网络的联合覆盖,连通性和计费策略

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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.
机译:本文提出了针对消费者无人驾驶飞行器(UAV)的部署策略,以最大程度地固定目标区域并通过地面充电站的能量补充操作来保证服务的连续性。我们工作的三个主要贡献如下。 1)针对目标覆盖率下的无人机定位和调度涉及到地面站的无人机的充电操作的联合问题,提出了一种集中的最优解决方案。 2)提出了一种使用规范形式的游戏并基于性能界限进行严格分析的基于分布式博弈论的调度策略。此外,使用吸引/排斥弹簧动作的生物启发方案被用于无人机的分布式定位。 3)分析了无人机在分布式充电操作中不同级别合作之间的成本收益权衡。本文演示了仅使用一跳消息传递的分布式部署,就覆盖范围和生存期而言,实现了集中计算的最优值的近似值。

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