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首页> 外文期刊>Communications Letters, IEEE >RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks
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RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks

机译:基于射频的充电器放置,可确保无电池传感器网络的占空比

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摘要

Battery-free sensor networks have emerged as a promising solution to conquer the lifetime limitation of battery-powered systems. In this letter, we study a sensor network built from battery-free nodes which harvest energy from radio frequency (RF) signals transmitted by RF-based chargers, e.g., radio frequency identification (RFID) readers. Due to the insufficiency of harvested energy, the sensor nodes have to work in duty cycles to harvest enough energy before turning active and performing tasks. One fundamental issue is how to deploy the chargers to ensure that the battery-free nodes can maintain a designated duty cycle for continuous operation. Based on a new wireless recharge model, we formulate the charger placement problem for node's duty cycle guarantee as a constrained optimization problem. We develop both greedy and efficient heuristics for solving the problem and validate our solutions through extensive simulations. The simulation results show that the proposed particle swarm optimization (PSO)-based divide-and-conquer approach can effectively reduce the number of chargers compared with the greedy approach.
机译:无电池传感器网络已经成为解决电池供电系统寿命限制的有前途的解决方案。在这封信中,我们研究了一种由无电池节点构成的传感器网络,该节点从基于射频的充电器(例如,射频识别(RFID)读取器)传输的射频(RF)信号中收集能量。由于收集的能量不足,传感器节点必须在工作周期内工作以收集足够的能量,然后再激活并执行任务。一个基本问题是如何部署充电器以确保无电池节点可以维持指定的占空比以连续运行。基于新的无线充电模型,我们将节点的占空比保证的充电器放置问题公式化为约束优化问题。我们开发贪婪和高效的启发式方法来解决问题,并通过广泛的仿真来验证我们的解决方案。仿真结果表明,与贪婪算法相比,基于粒子群优化(PSO)的分而治之方法可以有效地减少充电器的数量。

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