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Phase-Aware Directional Energy Transmission Algorithm in Multiple Directional RF Energy Source Environments

机译:多向射频能量源环境中的相位感知定向能量传输算法

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摘要

Radio frequency (RF) energy harvesting technique has received high attention as a promising technology for Internet of Things (IoT) based industrial systems due to its flexibility of energy supply. When multiple IoT gateways are used as directional RF energy sources, the direction and phase of RF energy transmissions influence the RF energy transmission efficiency. In this paper, we propose a phase-aware directional energy transmission algorithm (PA-DETA) where directional RF energy sources (e.g., IoT gateways) are connected to a controller and their operation parameters (i.e., RF energy transmission direction and initial phase) are decided by the controller to maximize the total harvested energy while maintaining the energy consumption in RF energy sources and the number of discarded packets due to energy depletion of harvesting nodes below certain levels. To optimize the performance of PA-DETA, we formulate a constraint Markov decision process and the optimal policy on the direction and initial phase of RF energy transmissions is obtained by a linear programming. Evaluation results demonstrate that PA-DETA with the optimal policy outperforms the comparison schemes in terms of the total harvested energy, the energy consumption in RF energy sources, and the packet discard rate.
机译:射频(RF)能量收集技术因其能源供应的灵活性而作为基于物联网(IoT)的工业系统的有前途的技术受到了高度关注。当多个物联网网关用作定向射频能源时,射频能量传输的方向和相位会影响射频能量传输效率。在本文中,我们提出了一种相位感知的定向能量传输算法(PA-DETA),其中将定向RF能量源(例如IoT网关)连接到控制器及其操作参数(即RF能量传输方向和初始相位)由控制器决定最大化接收的总能量,同时保持RF能源中的能量消耗以及由于收集节点的能量消耗低于某些级别而导致的废弃数据包数量。为了优化PA-DETA的性能,我们制定了一个约束马尔可夫决策过程,并通过线性规划获得了关于RF能量传输方向和初始相位的最佳策略。评估结果表明,采用最佳策略的PA-DETA在总收获能量,RF能源的能量消耗和数据包丢弃率方面优于比较方案。

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