NDLI: Charging your smartphones on public commuters via wireless energy transfer

Content Provider	IEEE Xplore Digital Library
Author	Xu, Wenzheng Liang, Weifa Su Hu Lin, Xiaola Jian Peng
Copyright Year	2015
Description	Author affiliation: College of Computer Science, Sichuan University, Chengdu, 610065, China (Xu, Wenzheng; Jian Peng) \|\| Research School of Computer Science, Australian National University, Canberra, ACT0200, Australia (Liang, Weifa) \|\| School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, 510006, China (Su Hu; Lin, Xiaola)
Abstract	Smartphones now become an indispensable part of our daily life. However, their continuing operations consume lots of battery energy. For example, a fully-charged smartphone usually cannot support its continuing operation for a whole day. A fundamental problem related to this energy issue is how to prolong the smartphone lifetime so that it can last as long as possible to meet its user needs. Wireless energy transfer has been demonstrated as a promising technique to address this challenge. In this paper, we study the smartphone charging problem, using wireless chargers deployed on public commuters, e.g., subway trains, to charge energy-critical smartphones when their users take subway trains to work or go home. Since the residual energy of different smartphones are significantly different, the charging satisfactions of different users are essentially different too. In this paper we formulate this charging problem as a novel optimization problem that allocates limited wireless chargers on subway trains to charge energy-critical smartphones such that the overall charging satisfaction of mobile users is maximized, for a given monitoring period (e.g., one day). Specifically, we first devise a 1 over 3-approximation algorithm if the travel trajectory of each smartphone user in the monitoring period is given; otherwise, we devise an online algorithm dealing with dynamic energy-critical smartphone charging requests. We finally evaluate the performance of the proposed algorithms through experimental simulations with a real dataset of subway-taking in San Francisco. The experimental results show that the proposed algorithms are very promising, and 93.9% of energy-critical user smartphones can be satisfactorily charged in one-day monitoring period.
Starting Page	1
Ending Page	8
File Size	1003894
Page Count	8
File Format	PDF
ISSN	23749628
e-ISBN	9781467385909
DOI	10.1109/PCCC.2015.7410303
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Approximation algorithms Australia Wireless sensor networks Silicon
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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