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UAV-enabled data acquisition scheme with directional wireless energy transfer for Internet of Things

机译:支持无人机的数据采集方案,用于物联网的定向无线能量传输

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摘要

Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled data acquisition scheme with directional wireless energy transfer (WET) to overcome the limitations of low power IoT. The main idea of the proposed scheme is to employ a UAV to serve as both a data collector and an energy supplier. The UAV first transfers directional wireless energy to an IoT node which then sends back the data packets to the UAV by using the harvested energy. Meanwhile, we minimize the overall energy consumption under conditions of balanced energy supply and limited overall time. Moreover, we derive the optimal values of WET time and data transmission power. After analysing the feasibility of the optimal WET time and data transmission, we design an allocation scheme based on the feasible ranges of data size level and channel-fading degree. The numerical results show the feasibility and adaptability of our allocation scheme against the varied values of multiple system parameters. We further extend our scheme to the multi-node scenario by re-designing energy beamforming and adopting multi-access mechanisms. Moreover, we also analyse the mobility of UAVs in the proposed scheme.
机译:低功耗物联网(IoT)受到两个限制:物联网节点的电池电量限制和基础架构节点部署的灵活性。在本文中,我们提出了一种具有定向无线能量传输(WET)的无人飞行器(UAV)支持的数据采集方案,以克服低功耗IoT的局限性。拟议方案的主要思想是采用无人机作为数据收集者和能源供应者。 UAV首先将定向无线能量传输到IoT节点,然后通过使用收集的能量将数据包发送回UAV。同时,我们在能源供应平衡和总时间有限的情况下,将总能源消耗降至最低。此外,我们得出WET时间和数据传输功率的最佳值。在分析最佳WET时间和数据传输的可行性之后,我们根据数据大小级别和信道衰落程度的可行范围设计了一种分配方案。数值结果表明了我们的分配方案针对多个系统参数变化值的可行性和适应性。我们通过重新设计能量波束成形并采用多址机制,将方案进一步扩展到多节点方案。此外,我们还分析了拟议方案中无人机的机动性。

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