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A Joint Duty-Cycle and Transmission Power Management for Energy Harvesting WSN

机译:WSN能量收集的联合占空比和传输功率管理

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In this paper, we propose a global power management approach for energy harvesting sensor nodes. Our approach is based on a joint duty-cycle optimization and transmission power control. By simultaneously adapting both parameters, the node can maximize the number of transmitted packets while respecting the limited and time-varying amount of available energy. We obtain a high-packet delivery by using an original predictive transmission power control that can efficiently adapt the transmission power to the wireless channel conditions. To accurately model the wireless channel and the node communication hardware, a waveform-level radio frequency simulator has been developed. Simulation results show 6.5 times improvement in energy efficiency and a packet reception ratio which is 9 times more efficient than a recently published technique. A 15% increase in energy efficiency, with respect to a fixed transmission power configuration, has also been observed. Finally, the global power management strategy has been validated on a real wireless sensor networks platform. Experimental results are very similar to those obtained in simulations, and thus confirm the efficiency of our power management approach.
机译:在本文中,我们提出了一种用于能量收集传感器节点的全局电源管理方法。我们的方法基于联合占空比优化和传输功率控制。通过同时调整两个参数,该节点可以在考虑可用能量的有限且随时间变化的数量的同时,最大化传输数据包的数量。我们通过使用原始的预测传输功率控制来获得高分组传输,该控制可以有效地使传输功率适应无线信道条件。为了准确地对无线通道和节点通信硬件进行建模,已经开发了波形级射频模拟器。仿真结果表明,能源效率提高了6.5倍,数据包接收率比最新发布的技术高9倍。还已经观察到,相对于固定的传输功率配置,能源效率提高了15%。最后,全球电源管理策略已在真实的无线传感器网络平台上得到验证。实验结果与通过仿真获得的结果非常相似,因此证实了我们的电源管理方法的效率。

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