Robustly Safe Charging for Wireless Power Transfer

被引:0
|
作者
Dai, Haipeng [1 ]
Zhao, Yang
Chen, Guihai
Dou, Wanchun
Tian, Chen
Wu, Xiaobing
He, Tian
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210024, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
One critical issue for wireless power transfer is to avoid human health impairments caused by electromagnetic radiation (EMR) exposure. The existing studies mainly focus on scheduling wireless chargers so that (expected) EMR at any point in the area doesn't exceed a threshold R-t. Nevertheless, they overlook the EMIR jitter that leads to exceeding of R-t even if the expected EMR is no more than R-t. This paper studies the fundamental problem of Robustly SafE charging for wireless power transfer (ROSE), that is, scheduling the power of chargers so that the charging utility for all rechargeable devices is maximized while the probability that EMIR anywhere doesn't exceed R-t is no less than a given confidence. We first build our empirical probabilistic charging model and EMR model. Then, we present EMIR approximation and area discretization techniques to formulate ROSE into a Second-Order Cone Program, and the first redundant second-order cone constraints reduction algorithm to reduce the computational cost, and therefore obtain a (1-epsilon)-approximation centralized algorithm. Further, we propose a (1-c)-approximation fully distributed algorithm scalable with network size for ROSE. Simulations and field experiments show that our algorithms can outperform comparison algorithms by 480.19%.
引用
收藏
页码:378 / 386
页数:9
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