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.

中文翻译：

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无电池无线传感器网络中的延迟高效数据收集调度

电池供电的无线传感器网络 (WSN) 的寿命受到传感器中配备的电池的限制。无电池无线传感器网络 (BF-WSN) 的出现突破了这一限制，其中无电池传感器从周围环境中可持续但不可控的能源中获取能量，例如太阳能、风能、射频信号电源、等等。BF-WSNs 的能量特性使得 BF-WSNs 中的数据采集调度更具挑战性。数据收集的延迟是评估数据收集计划性能的关键指标。在本文中，我们研究了为 BF-WSNs 生成具有最小延迟的数据收集调度问题，并分别为线路 BF-WSNs 和一般 BF-WSNs 提出了延迟有效的数据收集调度算法。