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Latency-efficient Data Collection Scheduling in Battery-free Wireless Sensor Networks

机译:无电池无线传感器网络中的延迟高效数据收集调度

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The lifetime of battery-powered Wireless Sensor Networks (WSNs) are limited by the batteries equipped in sensors. The appearance of Battery-free Wireless Sensor Networks (BF-WSNs) breaks through this limitation, in which battery-free sensors harvest energy from sustainable but uncontrollable energy sources in ambient environment, such as solar power, wind power, radio frequency signal power, and so on. The energy characteristics of BF-WSNs make it more challenging for data collection scheduling in BF-WSNs. Latency of data collection is a crucial measurement to evaluate the performance of data collection schedules. In this article, we study the problem of generating data collection schedules with minimum latency for BF-WSNs and propose latency-efficient data collection scheduling algorithms for line BF-WSNs and general BF-WSNs, respectively. Theoretical analysis and extensive simulations are conducted to verify the efficiency and effectiveness of the proposed algorithms.
机译:电池供电的无线传感器网络(WSNS)的寿命受传感器配备的电池的限制。无电池无线传感器网络(BF-WSNS)的外观通过这种限制,其中无电池传感器在环境环境中从可持续但无法控制的能源收获能量,例如太阳能,风电,射频信号功率,等等。 BF-WSNS的能量特性使得BF-WSN中的数据收集调度更具挑战性。数据收集的延迟是评估数据收集时间表的性能的重要测量。在本文中,我们研究了BF-WSNS的最小延迟生成数据收集计划的问题,并分别提出了线BF-WSN和常规BF-WSN的延迟有效的数据收集调度算法。进行理论分析和广泛的模拟,以验证所提出的算法的效率和有效性。

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