Mobile Energy Transfer in Internet of Things

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

doi:10.1109/JIOT.2019.2926333

Mobile Energy Transfer in Internet of Things

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

15 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 language	English (US)
Article number	8753423
Pages (from-to)	9012-9019
Number of pages	8
Journal	IEEE Internet of Things Journal
Volume	6
Issue number	5
DOIs	https://doi.org/10.1109/JIOT.2019.2926333
State	Published - 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.

Publisher Copyright:
© 2014 IEEE.

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1109/JIOT.2019.2926333

OpenUrl availability

Full text

Cite this

@article{2fa61aa360e0475cb1b13484d2f7ec7e,

title = "Mobile Energy Transfer in Internet of Things",

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.",

keywords = "Adaptive resonant beam charging (RBC), Internet of Things (IoT), mobile energy transfer (MET)",

author = "Qingqing Zhang and Gang Wang and Jie Chen and Giannakis, {Georgios B.} and Qingwen Liu",

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. Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2019",

month = oct,

doi = "10.1109/JIOT.2019.2926333",

language = "English (US)",

volume = "6",

pages = "9012--9019",

journal = "IEEE Internet of Things Journal",

issn = "2327-4662",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Mobile Energy Transfer in Internet of Things

AU - Zhang, Qingqing

AU - Wang, Gang

AU - Chen, Jie

AU - Giannakis, Georgios B.

AU - Liu, Qingwen

N1 - 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. Publisher Copyright: © 2014 IEEE.

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Adaptive resonant beam charging (RBC)

KW - Internet of Things (IoT)

KW - mobile energy transfer (MET)

UR - http://www.scopus.com/inward/record.url?scp=85073453532&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073453532&partnerID=8YFLogxK

U2 - 10.1109/JIOT.2019.2926333

DO - 10.1109/JIOT.2019.2926333

M3 - Article

AN - SCOPUS:85073453532

SN - 2327-4662

VL - 6

SP - 9012

EP - 9019

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

IS - 5

M1 - 8753423

ER -

Mobile Energy Transfer in Internet of Things

Abstract

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this