ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles

As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wireless rechargeable sensor networks (WRSNs). However, efficient charging and scheduling are critical for WRSNs to function properly. Motivated by the fact that probabilistic techniques can help enhance the effectiveness of charging scheduling for WRSNs, this article addresses the aforementioned issue and proposes a novel ISAC-assisted WRSN protocol. In particular, our proposed protocol considers several factors to balance the charging load on each mobile charging vehicle (MCV), uses an efficient charging factor strategy to partially charge network devices, and employs the ISAC concept to reduce the traveling cost of each MCV and prevent charging conflicts. Simulation results demonstrate that this protocol outperforms other classic, cutting-edge protocols in multiple areas.

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Publication Details

Journal
IEEE Internet of Things Magazine
Published
2024-09-16
DOI
https://doi.org/10.1109/iotm.001.2300153
Citations
6
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.25
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article

ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles

Weijie Yuan, Muhammad Umar Farooq Qaisar, Paolo Bellavista, Guangjie Han et al.
6 citations
IEEE Internet of Things Magazine
Energy Harvesting in Wireless Networks
1.25
article

ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles

Weijie Yuan, Muhammad Umar Farooq Qaisar, Paolo Bellavista, Guangjie Han, Adeel Ahmed
article en
6 citations

Abstract

As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wireless rechargeable sensor networks (WRSNs). However, efficient charging and scheduling are critical for WRSNs to function properly. Motivated by the fact that probabilistic techniques can help enhance the effectiveness of charging scheduling for WRSNs, this article addresses the aforementioned issue and proposes a novel ISAC-assisted WRSN protocol. In particular, our proposed protocol considers several factors to balance the charging load on each mobile charging vehicle (MCV), uses an efficient charging factor strategy to partially charge network devices, and employs the ISAC concept to reduce the traveling cost of each MCV and prevent charging conflicts. Simulation results demonstrate that this protocol outperforms other classic, cutting-edge protocols in multiple areas.

IEEE Internet of Things MagazineVol. 7(6)
University of Science and Technology of China (CN), Hohai University (CN), Northwestern Polytechnical University (CN), Southern University of Science and Technology (CN), University of Bologna (IT), Northwestern Polytechnic University (US)
Affordable and clean energy
Openalex Percentile: Top 20%
Energy Harvesting in Wireless Networks
1.25
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ISAC-Assisted Wireless Rechargeable Sensor Networks with Multiple Mobile Charging Vehicles — Weijie Yuan, Muhammad Umar Farooq Qaisar, et al. · IEEE Internet of Things Magazine (2024) | TGRS Research Map | TGRS