Name
Title | ||
|---|---|---|
When Wireless Charging Meets Fresnel Zones: Even Obstacles Can Enhance Charging Efficiency |
Abstract | ||
|---|---|---|
Benefitting from the discovery of wireless power transfer (WPT) technology, the wireless rechargeable sensor network (WRSN) becomes a promising way for lifetime extension for wireless sensor networks. However, in practical applications, obstacles can be found almost everywhere throughout the WRSN system. Most prior arts believe that obstacles will always degrade signal strength, they omit such influences for computation simplicity, which contradicts to the instincts of signal propagation, yielding their methods unsuitable for realistic adoptions. In this paper, we explore the wireless signal propagation process and provide a theoretical charging model to enhance charging efficiency by leveraging obstacles. Through utilizing the concept of the Fresnel Zones (FZs), we re-formalize the wireless charging model and discretize charging power to determine the best charging spots as well as charging durations. We model such charging efficiency maximization with obstacles (EMO) problem as a submodular function maximization problem and propose a cost-efficient algorithm with approximation ratio (e-1)/ε (1 - ε) to solve it. Finally, test-bed experiments and simulations are conducted to verify that our schemes outperform comparison algorithms by at least 10% in charging efficiency improvement. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SAHCN.2019.8824816 | 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) |
Keywords | Field | DocType |
wireless power transfer technology,wireless rechargeable sensor network,WRSN system,signal strength,wireless signal propagation process,theoretical charging model,wireless charging model,charging spots,cost-efficient algorithm,charging efficiency enhancement,Fresnel Zones,WPT technology,EMO problem,submodular function maximization problem,test-bed experiments,charging efficiency maximization with obstacles problem | Wireless power transfer,Wireless,Computer science,Fresnel zone,Submodular set function,Electrical engineering,Wireless sensor network,Maximization,Radio propagation,Distributed computing,Computation | Conference |
ISSN | ISBN | Citations |
2155-5486 | 978-1-7281-1208-4 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |