回收废能源作流动充电

Yu Sun, Chi Lin, Haipeng Dai, Pengfei Wang, Jiankang Ren, Lei Wang, Guowei Wu
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引用次数: 4

摘要

无线电力传输(WPT)技术的迅速普及促进了无线可充电传感器网络(WRSNs)的广泛采用。传统的方法只关注如何优化网络性能,而忽略了WPT引起的能源浪费问题。在本文中,我们探讨了利用WPT时,通过免费加载的方式回收浪费能源的潜力。具体而言,通过对硬件的轻微修改,我们扩展了移动充电器(mc)的功能,使它们能够收集和回收空气中wpt引起的浪费能量,为更多的传感器服务,从而提高了能源效率。我们将这个问题(称为MEFree)建模为通过利用有限数量的免费mc并调度其免费行为来最大化网络能源效率。通过对免费和收费任务的联合调度,该方案能够以(1−1/e)/2的近似比解决问题,且预算略宽松。进行了大量的仿真,相应的数值结果表明,我们提出的方案在各方面显著提高了网络能源效率至少18.8%,平均优于基准算法19.1%。实验进一步证明了该方案在实际场景中的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recycling Wasted Energy for Mobile Charging
The rapid popularization of wireless power transfer (WPT) technology promotes the wide adoption of wireless rechargeable sensor networks (WRSNs). Traditional methods only focus on how to optimize network performance, and most of them overlook the energy waste issue induced by WPT. In this paper, we explore the potentials of recycling wasted energy when using WPT by means of freeloading. Specifically, with a slight modification on hardware, we expand the functionality of the mobile chargers (MCs), enabling them to harvest and recycle the WPT-induced wasted energy in the air to serve more sensors, which promotes energy efficiency. We model the problem, termed MEFree, as maximizing network energy efficiency by utilizing a limited number of freeloading MCs and scheduling their freeloading behaviors. Through jointly scheduling freeloading and charging tasks, the proposed scheme is able to solve the problem with a (1 − 1/e)/2 approximation ratio with a slightly relaxed budget. Extensive simulations are conducted and corresponding numerical results show that our proposed scheme significantly improves network energy efficiency by at least 18.8% and outperforms baseline algorithms by 19.1% on average in various aspects. Our test-bed experiments further demonstrate the practicability of our scheme in actual scenes.
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