Mobile Energy Transfer in Internet of Things

Qingqing Zhang, Gang Wang, Jie Chen, Georgios B. Giannakis, Qingwen Liu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Internet of Things (IoT) is powering up smart cities by connecting all kinds of electronic devices. The power supply problem of IoT devices constitutes a major challenge in current IoT development, due to the poor battery endurance as well as the troublesome cable deployment. The wireless power transfer (WPT) technology has recently emerged as a promising solution. Yet, existing WPT advances cannot support free and mobile charging like Wi-Fi communications. To this end, the concept of mobile energy transfer (MET) is proposed, which relies critically on a resonant beam charging (RBC) technology. The adaptive (A) RBC technology builds on RBC, but aims at improving the charging efficiency by charging devices at device preferred current and voltage levels adaptively. A mobile ARBC scheme is developed relying on an adaptive source power control. Extensive numerical simulations using a 1000-mAh Li-ion battery show that the mobile ARBC outperforms simple charging schemes, such as the constant power charging, the profile-adaptive charging, and the distance-adaptive charging in saving energy.

Original languageEnglish (US)
Article number8753423
Pages (from-to)9012-9019
Number of pages8
JournalIEEE Internet of Things Journal
Volume6
Issue number5
DOIs
StatePublished - Oct 2019

Bibliographical note

Funding Information:
Manuscript received April 4, 2019; revised June 10, 2019; accepted June 25, 2019. Date of publication July 2, 2019; date of current version October 8, 2019. The work of Q. Zhang and Q. Liu was supported by the National Natural Science Foundation of China Grant 61771344. The work of G. Wang and G. B. Giannakis was supported in part by the National Science Foundation under Grant 1514056 and Grant 1711471. The work of J. Chen was supported in part by the National Natural Science Foundation of China under Grant U1509215, and in part by the Program for Changjiang Scholars and Innovative Research Team in University under Grant IRT1208. (Corresponding author: Qingwen Liu.) Q. Zhang and Q. Liu are with the College of Electronic and Information Engineering, Tongji University, Shanghai 201800, China.

Keywords

  • Adaptive resonant beam charging (RBC)
  • Internet of Things (IoT)
  • mobile energy transfer (MET)

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