On Wireless Charging for Mobile Sensors

Rihito Tsuchida, Kazuya Sakai, Min Te Sun, Wei Shinn Ku

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Battery-powered sensor devices have been an essential component in Internet of Things (IoT) applications. Much effort has been devoted to designing algorithms that identify efficient routes for a mobile wireless charger to feed sensor devices with energy without plugs, in which power is wirelessely transferred from the charger to sensors. However, existing studies assume static sensors. In this paper, we address the problem of finding better mobile charger trajectories for mobile sensors, where sensor devices are assumed to be mobile. We first introduce two problems. One is the MaxAC problem that maximizes the amount of charge from a charger to sensors within a given time constraint; the other is the MinCD problem that minimizes the charging delay to provide all the sensors with at least a target power level. To this end, we design the charging utility prediction model to estimate how much power can be transferred during a given time interval. Then, two trajectory planning algorithms are proposed, namely TPA-MaxAC and TPA-MinCD, for each problem. The simulation results demonstrate that the proposed algorithms outperform a baseline algorithm as well as the state-of-The-Art wireless charging algorithms.

原文???core.languages.en_GB???
頁(從 - 到)1156-1167
頁數12
期刊IEEE Transactions on Green Communications and Networking
8
發行號3
DOIs
出版狀態已出版 - 2024

指紋

深入研究「On Wireless Charging for Mobile Sensors」主題。共同形成了獨特的指紋。

引用此