Efficient Multiple Green Energy Base Stations Far-Field Wireless Charging for Mobile IoT Devices
Document Type
Article
Publication Date
5-15-2023
Abstract
Powering a huge number of Internet of Things Devices (IoTDs), necessitated in many Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms of the cost of labor, time, and so on. Far-field green energy wireless charging is a promising technique to remotely power IoTDs in a large-scale network. In order to improve the end-to-end energy efficiency, for the scenario with multiple green base stations (GBSs) wirelessly charging multiple IoTDs, our previous research work proposed a wireless charging scheme to aggregate the wireless power received by a static IoTD from multiple GBSs. In reality, in various emerging IoT applications, a large proportion of IoTDs are mobile. Hence, in this work, we focus on intelligently assigning multiple GBSs to wirelessly charge mobile IoTDs such that the IoTDs can be efficiently powered. We first propose the moving model and the charging model of IoTDs. Based on the nonlinear wireless charging model and nonlinear wireless energy conversion model, we then propose the Greedy dynamic joint charging (GAIN) algorithm to efficiently power the mobile IoTDs. Through extensive simulations, we validate the performance of the proposed algorithm.
Identifier
85146227354 (Scopus)
Publication Title
IEEE Internet of Things Journal
External Full Text Location
https://doi.org/10.1109/JIOT.2022.3232091
e-ISSN
23274662
First Page
8734
Last Page
8743
Issue
10
Volume
10
Recommended Citation
Sha, Qiuyu; Liu, Xilong; and Ansari, Nirwan, "Efficient Multiple Green Energy Base Stations Far-Field Wireless Charging for Mobile IoT Devices" (2023). Faculty Publications. 1724.
https://digitalcommons.njit.edu/fac_pubs/1724