Scheduling Green Energy Wireless Charging of IoT Devices

Document Type

Conference Proceeding

Publication Date

1-1-2021

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.

Identifier

85123473975 (Scopus)

ISBN

[9781728172545]

Publication Title

Proceeding 2021 26th IEEE Asia Pacific Conference on Communications Apcc 2021

External Full Text Location

https://doi.org/10.1109/APCC49754.2021.9609955

First Page

105

Last Page

110

Grant

62002312

Fund Ref

National Natural Science Foundation of China

This document is currently not available here.

Share

COinS