离散化
能量(信号处理)
符号
无线电源传输
电荷(物理)
无线传感器网络
拓扑(电路)
功率(物理)
数学
算法
计算机科学
电气工程
离散数学
无线
数学优化
物理
组合数学
数学分析
电信
工程类
算术
量子力学
计算机网络
统计
作者
Chi Lin,Ziwei Yang,Haipeng Dai,Liangxian Cui,Lei Wang,Guowei Wu
标识
DOI:10.1109/tnet.2021.3095280
摘要
As a more energy-efficient WPT technology, directional WPT is applied to supply energy for wireless rechargeable sensor networks (WRSNs). Conventional methods that ignore anisotropic energy receiving property of rechargeable sensors cause a waste of energy. To address this issue, in this paper, we focus on minimizing the charging delay with a directional charging scheme. At first, we introduce linear constraints to improve an energy transfer model, which is verified to be practical by experiments. Then, we concern a Minimal chArging Delay with Single charger (S-MAD) problem to promote efficiency, followed by an Optimal Direction Charge with Single charger (S-ODC) solution. Through discretizing charging power and angle, we bound the performance gap of the solution to the optimal one with $\text{a}^{^{^{^{}}}}\,\,\frac {1}{1-\epsilon ^{2}}$ approximation ratio, where $\epsilon $ is the error threshold of discretization. After that, we extend the original S-MAD problem into the large scale WRSN with multiple chargers (i.e., M-MAD) and solve it by proposing M-ODC (i.e., Optimal Direction Charge with Multiple chargers (M-ODC)). Theoretical analyses are presented to exploit the feature of the proposed schemes. Finally, we demonstrate that our methods outperform the baseline methods by an average of 34.2% through simulations and test-bed experiments.
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