MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs

Anmol Sheth*, Christian Doerr, Dirk Grunwald, Richard Han, Douglas Sicker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

67 Citations (Scopus)

Abstract

Deployments of wireless LANs consisting of hundreds of 802.11 access points with a large number of users have been reported in enterprises as well as college campuses. However, due to the unreliable nature of wireless links, users frequently encounter degraded performance and lack of coverage. This problem is even worse in unplanned networks, such as the numerous access points deployed by homeowners. Existing approaches that aim to diagnose these problems are inefficient because they troubleshoot at too high a level, and are unable to distinguish among the root causes of degradation. This paper designs, implements, and tests fine-grained detection algorithms that are capable of distinguishing between root causes of wireless anomalies at the depth of the physical layer. An important property that emerges from our system is that diagnostic observations are combined from multiple sources over multiple time instances for improved accuracy and efficiency.

Original languageEnglish
Title of host publicationMobiSys '06
Subtitle of host publicationProceedings of the 4th international conference on Mobile systems, applications and services
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery, Inc
Pages191-204
Number of pages14
ISBN (Electronic)1595931953
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventMobiSys 2006 - Fourth International Conference on Mobile Systems, Applications and Services - Uppsala, Sweden
Duration: 19 Jun 200622 Jun 2006

Conference

ConferenceMobiSys 2006 - Fourth International Conference on Mobile Systems, Applications and Services
CountrySweden
CityUppsala
Period19/06/0622/06/06

Keywords

  • Anomaly detection
  • Self-healing
  • Wireless networks

Fingerprint Dive into the research topics of 'MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs'. Together they form a unique fingerprint.

Cite this