Scheduling Green Energy Wireless Charging of IoT Devices

Yongxing Jia, Xilong Liu, Nirwan Ansari, Qiuyu Sha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using green energy to charge Internet of Things (IoT) devices is becoming a technically viable option. Green far-field Wireless Power Transmission can help powering IoT terminal devices. Keeping the maximum number of IoT devices (IoTDs) in their normal working modes is to furthest prolong the lifetime of the IoT network. In this work, for a given charging area, we first determine association between IoTDs and the green energy base station (GEBS), and then efficiently power IoTDs wirelessly. In green far-field wireless charging, we propose a dual-threshold model for IoTDs to facilitate wireless charging. In the dual-threshold model, we define two thresholds, i.e., Alarm Threshold and Working Threshold. Based on the dual-threshold model, we then propose the Dual-Threshold Orderly Charging (DTOC) algorithm to efficiently charge their surrounding IoTDs in a specific order to improve the charging efficiency. Finally, we validate the performance of the proposed algorithm through extensive simulations.

Original languageEnglish (US)
Title of host publicationProceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021
EditorsMohd Fais Mansor, Nordin Ramli, Mahamod Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-110
Number of pages6
ISBN (Electronic)9781728172545
DOIs
StatePublished - 2021
Event26th IEEE Asia-Pacific Conference on Communications, APCC 2021 - Virtual, Kuala Lumpur, Malaysia
Duration: Oct 11 2021Oct 13 2021

Publication series

NameProceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021

Conference

Conference26th IEEE Asia-Pacific Conference on Communications, APCC 2021
Country/TerritoryMalaysia
CityVirtual, Kuala Lumpur
Period10/11/2110/13/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management

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