Multi-UAV-Assisted Green Energy Far-Field Wireless Charging for Large-Scale WRSNs

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

With the rapid development of Internet of Things (IoT), wireless rechargeable sensor networks (WRSNs) have found widespread applications in modern society. However, due to the dynamic energy consumption of sensor nodes (SNs) and the challenges associated with battery replacement, ensuring a timely energy supply to SNs is a pressing concern. Currently, employing unmanned aerial vehicles (UAVs) for far-field wireless charging emerges as a promising solution to charge SNs. However, with the expansion of WRSNs, existing solutions face challenges in meeting the energy demands of large-scale WRSNs. Therefore, we propose to leverage multiple green energy powered UAVs to facilitate far-field wireless charging for large-scale WRSNs. We first segment the SNs into clusters and propose the dynamic energy consumption models for UAVs and SNs. Then, we formulate the UAVs' charging service efficiency maximization problem, enabling more SNs to receive sufficient energy replenishment. As this problem is proved to be an NP-hard problem, we further propose the dyNamic wIreless chaRging (NIR) algorithm to efficiently determine the charging sequences of the SNs and reduce the UAVs' energy consumption. Extensive simulations have validated that NIR notably improves the charging service efficiency of the UAVs, thereby prolonging the WRSN's lifespan.

Identifier

85202856502 (Scopus)

ISBN

[9781728190549]

Publication Title

IEEE International Conference on Communications

External Full Text Location

https://doi.org/10.1109/ICC51166.2024.10622803

ISSN

15503607

First Page

3646

Last Page

3651

Grant

ISC22Y03

Fund Ref

National Natural Science Foundation of China

This document is currently not available here.

Share

COinS