Name
Title | ||
|---|---|---|
Multimobile Charger Charging Strategy Based on Dual Partitioning Model for Wireless Rechargeable Sensor Networks |
Abstract | ||
|---|---|---|
This paper proposes an online MMCCS (Multi-MC Cooperative Charging Strategy) for multiple Mobile Chargers (MC), affording static partition and dynamic collaboration. The developed scheme aims to solve the problem of high energy hole rates in Wireless Rechargeable Sensor Networks (WRSNs) by suggesting an on-demand charging architecture that minimizes the network's energy hole rate. Specifically, our strategy first establishes a dual-partition wireless rechargeable sensor network model to divide the service partition of the multi-mobile charging equipment and the charging request threshold partition of the Sensor Node (SN). Then based on this model, dynamic and collaborative multi-MC online charging path planning is performed to minimize the WRSN energy hole rate. The simulated trials challenge the proposed method against the NJNP (Nearest-Job-Next with Preemption), HC (Hamiltonian Cycle), and TSCCS (The temporal-spatial combined charging strategy) strategies, highlighting that the developed scheme reduces the average charging service distance of an MC, reduces the average waiting time of SN, and minimizes the WRSN's energy hole rate. Based on the simulation conditions, the WRSN energy void rate is 5.62%. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ACCESS.2022.3203410 | IEEE ACCESS |
Keywords | DocType | Volume |
Batteries, Wireless sensor networks, Wireless communication, Path planning, Energy consumption, Monitoring, Base stations, Charge measurement, Wireless rechargeable sensor networks, cooperative charging, path planning, energy voids | Journal | 10 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Jia | 1 | 0 | 0.34 |
| Jiahao Wang | 2 | 12 | 4.12 |
| Ji Zeyu | 3 | 0 | 0.34 |
| Peng Ruizhao | 4 | 0 | 0.34 |