skip to main content
10.1145/2639108.2642892acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
poster

Poster: detecting client mobility in WLANs using PHY layer information

Published: 07 September 2014 Publication History

Abstract

The continuously increasing number of smartphones and tablets allow the users to access Wireless LANs (WLANs) while undergoing different types of mobility, posing new challenges to wireless protocols. Current history-based WLAN protocols do not work well in mobile settings where wireless conditions change rapidly. Thus, today's WLANs need to be able to determine the type of the client's mobility and employ appropriate strategies in order to sustain high performance. While previous work tried to detect mobility using hints from sensors available in mobile devices, in this work, we demonstrate how different mobility modes can be distinguished by using physical layer information - Channel State Information (CSI) and Time-of-Flight (ToF) - available at commodity APs, with no modifications on the client side. Our testbed experiments show that our mobility classification algorithm achieves more than 92% accuracy in a variety of scenarios. In addition, we demonstrate how fine-grained mobility determination can be exploited to greatly improve performance of client roaming and MIMO beamforming.

References

[1]
Hari Balakrishnan, Lenin Ravindranath, Calvin Newport and Samuel Madden. Improving Wireless Network Performance Using Sensor Hints. In USENIX NSDI, 2011.
[2]
Krishna Chintalapudi, Anand Padmanabha Iyer, and Venkata N. Padmanabhan. Indoor localization without the pain. In Proceedings of the sixteenth annual international conference on Mobile computing and networking, pages 173--184. ACM, 2010.
[3]
Souvik Sen, Jeongkeun Lee, Kyu-Han Kim, and Paul Congdon. Avoiding multipath to revive inbuilding wifi localization. In Proceeding of the 11th annual international conference on Mobile systems, applications, and services, pages 249--262. ACM, 2013.
[4]
Alex Mariakakis, Souvik Sen, Jeongkeun Lee, and Kyu-Han Kim. Single access point based indoor localization. In Proceeding of the 12th annual international conference on Mobile systems, applications, and services.
[5]
Domenico Giustiniano and Stefan Mangold. Caesar: carrier sense-based ranging in off-the-shelf 802.11 wireless lan. In Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies, page 10. ACM, 2011.

Index Terms

  1. Poster: detecting client mobility in WLANs using PHY layer information

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking
      September 2014
      650 pages
      ISBN:9781450327831
      DOI:10.1145/2639108
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 September 2014

      Check for updates

      Author Tags

      1. mobility
      2. phy layer
      3. wireless
      4. wlan

      Qualifiers

      • Poster

      Conference

      MobiCom'14
      Sponsor:

      Acceptance Rates

      MobiCom '14 Paper Acceptance Rate 36 of 220 submissions, 16%;
      Overall Acceptance Rate 440 of 2,972 submissions, 15%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 234
        Total Downloads
      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 13 Feb 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media