Utilizing the Neglected Back Lobe for Mobile Charging

Meixuan Ren, Dié Wu, Jing Xue, Wenzheng Xu, J. Peng, Tang Liu
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引用次数: 1

Abstract

Benefitting from the breakthrough of wireless power transfer technology, the lifetime of Wireless Sensor Networks (WSNs) can be significantly prolonged by scheduling a mobile charger (MC) to charge sensors. Compared with omnidirectional charging, the MC equipped with directional antenna can concentrate energy in the intended direction, making charging more efficient. However, all prior arts ignore the considerable energy leakage behind the directional antenna (i.e., back lobe), resulting in energy wasted in vain. To address this issue, we study a fundamental problem of how to utilize the neglected back lobe and schedule the directional MC efficiently. Towards this end, we first build and verify a directional charging model considering both main and back lobes. Then, we focus on jointly optimizing the number of dead sensors and energy usage effectiveness. We achieve these by introducing a scheduling scheme that utilizes both main and back lobes to charge multiple sensors simultaneously. Finally, extensive simulations and field experiments demonstrate that our scheme reduces the number of dead sensors by 49.5% and increases the energy usage effectiveness by 10.2% on average as compared with existing algorithms.
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利用被忽略的后瓣进行移动充电
受益于无线电力传输技术的突破,无线传感器网络(WSNs)可以通过调度移动充电器(MC)对传感器充电来显著延长其使用寿命。与全向充电相比,安装定向天线的MC可以将能量集中在预定的方向,充电效率更高。然而,所有现有技术都忽略了定向天线(即后瓣)背后相当大的能量泄漏,导致能量白白浪费。为了解决这一问题,我们研究了如何有效地利用被忽略的后瓣和调度定向MC的基本问题。为此,我们首先建立并验证了考虑主叶和后叶的定向充电模型。然后,我们重点研究了失效传感器数量和能量使用效率的联合优化。我们通过引入一种利用主叶和后叶同时对多个传感器充电的调度方案来实现这一目标。最后,大量的仿真和现场实验表明,与现有算法相比,我们的方案减少了49.5%的死传感器数量,平均提高了10.2%的能源利用效率。
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