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Wi-Fi Sensing: Should Mobiles Sleep Longer As They Age?
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Network Systems Laboratory (NS Lab).ORCID iD: 0000-0001-9338-4960
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2013 (English)In: 2013 Proceedings IEEE INFOCOM, 2013, 2328-2336 p.Conference paper, Published paper (Refereed)
Abstract [en]

An essential condition precedent to the success of mobile applications based on Wi-Fi (e.g., iCloud) is an energy-efficient Wi-Fi sensing. From a user's perspective, a good Wi-Fi sensing policy should depend on both inter-AP arrival and contact duration time distributions. Prior work focuses on limited cases of those two distributions (e.g., exponential) or introduces heuristic approaches such as AI (Additive Increase). In this paper, we formulate a functional optimization problem on Wi-Fi sensing under general inter-AP and contact duration distributions, and propose how each user should sense Wi-Fi APs to strike a balance between energy efficiency and performance, depending on the users' mobility pattern. To that end, we derive an optimal condition which sheds insights into the aging property, the key feature required by efficient Wi-Fi sensing polices. Guided by the analytical studies and the implications, we develop a new sensing algorithm, called WiSAG (Wi-Fi Sensing with AGing), which is demonstrated to outperform the existing sensing algorithms up to 34% through extensive trace-driven simulations using the real mobility traces gathered from smartphones.

Place, publisher, year, edition, pages
2013. 2328-2336 p.
Series
Proceedings - IEEE INFOCOM, ISSN 0743-166X
Keyword [en]
Analytical studies, Efficiency and performance, Functional optimization problem, Heuristic approach, Mobile applications, Optimal conditions, Sensing algorithms, Trace driven simulation, Energy efficiency, Heuristic methods, Optimization, Algorithms
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-133806DOI: 10.1109/INFCOM.2013.6567037Scopus ID: 2-s2.0-84883066016ISBN: 9781467359467 (print)OAI: oai:DiVA.org:kth-133806DiVA: diva2:676145
Conference
32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013; Turin, Italy, 14-19 April 2013
Note

QC 20131205

Available from: 2013-12-05 Created: 2013-11-11 Last updated: 2014-02-04Bibliographically approved

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Cho, Jeong Woo

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • fi-FI
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  • Other locale
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Output format
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