A1 Journal article (refereed)
Adaptive Mobile Recharge Scheduling With Rapid Data Sharing in Wireless Rechargeable Networks (2024)

Huang, W., Zhao, Z., Wang, Z., Min, G., Chang, Z., Fu, L., & Duan, H. (2024). Adaptive Mobile Recharge Scheduling With Rapid Data Sharing in Wireless Rechargeable Networks. IEEE Transactions on Mobile Computing, 23(4), 3092-3105. https://doi.org/10.1109/TMC.2023.3273213

JYU authors or editors

Publication details

All authors or editorsHuang, Wenjie; Zhao, Zhiwei; Wang, Zi; Min, Geyong; Chang, Zheng; Fu, Luwei; Duan, Hancong

Journal or seriesIEEE Transactions on Mobile Computing



Publication year2024

Publication date05/05/2023


Issue number4

Pages range3092-3105


Publication countryUnited States

Publication languageEnglish


Publication open accessNot open

Publication channel open access


The recent breakthrough in Wireless Power Transfer (WPT) provides a promising way to prolong network lifetime by employing a charging vehicle to replenish energy. Data transmissions from nodes typically happen in response to physical sensory events, leading to time-varying energy consumption. To improve charging efficiency, the existing schemes collect energy information by employing a data-gathering vehicle or data collection protocol. However, in duty cycle networks, these schemes either incur extra vehicles or high data collection delay. To solve this problem, we propose an mobile adaptive charging scheme with rapid data sharing (rShare), which establishes multi-layer collection trees and collects overall energy data to the vehicle. A spatial predicted active sending (SPAS) algorithm is proposed for distant nodes to actively estimate the future position and transmit their data to cover potential positions of the charging vehicle, which significantly reduces data collection delay. We also propose an estimated time of arrival (ETA)-aware scheme based on the TSP Nearest Neighbor algorithm that updates the charging path based on the collected data. Extensive simulation results demonstrate that our scheme outperforms the state-of-the-arts in terms of dead node avoidance with less communication overhead.

Keywordswireless networksmobile communication networkspower transmission

Contributing organizations

Ministry reportingYes

Reporting Year2024

Preliminary JUFO rating3

Last updated on 2024-03-07 at 20:06