Name
Title | ||
|---|---|---|
MPF: Prolonging Network Lifetime of Wireless Rechargeable Sensor Networks by Mixing Partial Charge and Full Charge |
Abstract | ||
|---|---|---|
Recently, wireless power transfer is emerging as an enabling technology of wireless rechargeable sensor networks. Conventional methods that charge each sensor until its battery is full take unproportionally long time to finish, due to the limitation of charging efficiency and power transfer technologies. In this paper, we propose a mixed partial and full charge (MPF) scheme, including three specialized modules, i.e., evaluation module, adjustment module, and selection module. MPF allows nodes to be replenished "partially" by a mobile charging vehicle (MCV). When executing adjustment module, a concept of power and path adjustment window is proposed for determining a proper power allocation scheme as well as charging path. Then a scheduling strategy termed return mechanism is designed to further utilize the energy of the MCV and improve effective energy utilization. Finally, we build a high-accuracy charging test-bed and evaluate the applicability as well as performance of the proposed scheme. For large-scale networks, we also perform simulations to demonstrate the effectiveness of MPF in promoting survival rate and reducing traveling distance of the MCV. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SAHCN.2018.8397138 | 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) |
Keywords | Field | DocType |
partial charge,power allocation,network lifetime,adjustment module,return mechanism,MCV,MPF scheme,three specialized modules,scheduling strategy,wireless power transfer,wireless rechargeable sensor networks,large-scale networks,high-accuracy charging test-bed,mobile charging vehicle,selection module,evaluation module,specialized modules,full charge | Resource management,Wireless power transfer,Wireless,Computer science,Scheduling (computing),Computer network,Electronic engineering,Software,Maximum power transfer theorem,Battery (electricity),Wireless sensor network | Conference |
ISSN | ISBN | Citations |
2473-0440 | 978-1-5386-4282-5 | 6 |
PageRank | References | Authors |
0.44 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi Lin | 1 | 57 | 7.17 |
| Yanhong Zhou | 2 | 44 | 2.82 |
| Dai Haipeng | 3 | 419 | 55.44 |
| Jing Deng | 4 | 3887 | 221.06 |
| Guowei Wu | 5 | 75 | 14.81 |