Name
Abstract | ||
|---|---|---|
The emerging wireless charging technology is a promising alternative to address the power constraint problem in sensor networks. Comparing to existing approaches, this technology can replenish energy in a more controllable manner and does not require accurate location of or physical alignment to sensor nodes. However, little work has been reported on designing and implementing a wireless charging system for sensor networks. In this paper, we design such a system, build a proof-of-concept prototype, conduct experiments on the prototype to evaluate its feasibility and performance in small-scale networks, and conduct extensive simulations to study its performance in large-scale networks. Experimental and simulation results demonstrate that the proposed system can utilize the wireless charging technology effectively to prolong the network lifetime through delivering energy by a robot to where it is needed. The effects of various configuration and design parameters have also been studied, which may serve as useful guidelines in actual deployment of the proposed system in practice. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/RTSS.2010.35 | RTSS |
Keywords | Field | DocType |
conduct experiment,sensor network,robots,wireless charging technology,accurate location,physical alignment,actual deployment,design parameter,prolonging sensor network lifetime,sensor networks,large-scale networks,proposed system,extensive simulation,robot,proof-of-concept prototype,wireless sensor networks,controllable manner,sensor network lifetime,large-scale network,battery chargers,power constraint problem,wireless charging,proof of concept,greedy algorithms,wireless communication | Key distribution in wireless sensor networks,Software deployment,Wireless,Computer science,Computer network,Greedy algorithm,Robot,Energy consumption,Wireless sensor network,Distributed computing | Conference |
ISSN | ISBN | Citations |
1052-8725 | 978-0-7695-4298-0 | 112 |
PageRank | References | Authors |
4.64 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Peng | 1 | 227 | 11.34 |
| Zi Li | 2 | 355 | 19.59 |
| Wensheng Zhang | 3 | 1415 | 80.30 |
| Daji Qiao | 4 | 1305 | 142.62 |