Motion trends detection in wireless sensor networks

Goce Trajcevski*, Besim Avci, Fan Zhou, Roberto Tamassia, Peter I Scheuermann, Lauren Miller, Adam Barber

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We address the problem of efficient detection of destination-related motion trends in Wireless Sensor Networks (WSN) where tracking is done in collaborative manner among the sensor nodes participating in location detection. In addition to determining a single location, applications may need to detect whether certain properties are true for the (portion of the) entire trajectories. Transmitting the sequence of (location, time) values to a dedicated sink and relying on the sink to detect the validity of the desired properties is a brute-force approach that generates a lot of communication overhead. We present an in-network distributed algorithm for efficient detecting of the Continuously Moving Towards predicate with respect to a given destination that is either a point or a region with polygonal boundary. Our experiments demonstrate that the proposed approaches yield substantial savings when compared to the brute-force one.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Pages232-237
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 - Bengaluru, Karnataka, India
Duration: Jul 23 2012Jul 26 2012

Publication series

NameProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Other

Other2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Country/TerritoryIndia
CityBengaluru, Karnataka
Period7/23/127/26/12

ASJC Scopus subject areas

  • Information Systems

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