Abstract
Wireless power transfer technology is considered as one of the promising solutions to address the energy limitation problems for end-devices, but its incurred potential risk of electromagnetic radiation (EMR) exposure is largely overlooked by most existing works. In this paper, we consider the Safe Charging with Adjustable Power (SCAPE) problem, namely, how to adjust the power of chargers to maximize the charging utility of devices, while assuring that EMR intensity at any location in the field does not exceed a given threshold Rt. We present novel techniques to reformulate SCAPE into a traditional linear programming problem, and then remove its redundant constraints as much as possible to reduce computational effort. Next, we propose a distributed algorithm with provable approximation ratio (1-ε). Through extensive simulation and test bed experiments, we demonstrate that our (1-ε)-approximation algorithm outperforms the Set-Cover algorithm by up to 23%, and has an average performance gain of 41.1% over the SCP algorithm in terms of the overall charging utility.
Original language | English (US) |
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Title of host publication | Proceedings - International Conference on Distributed Computing Systems |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 439-448 |
Number of pages | 10 |
ISBN (Electronic) | 9781479951680 |
DOIs | |
State | Published - Aug 29 2014 |
Event | 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 - Madrid, Spain Duration: Jun 30 2014 → Jul 3 2014 |
Publication series
Name | Proceedings - International Conference on Distributed Computing Systems |
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Other
Other | 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014 |
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Country/Territory | Spain |
City | Madrid |
Period | 6/30/14 → 7/3/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- adjustable power
- distributed algorithm
- safe charging
- wireless power transfer