Movement-based Group Awareness with Wireless Sensor Networks

Raluca Marin Perianu, Mihai Marin Perianu, Paul J.M. Havinga, Johan Scholten

    Research output: Book/ReportReportProfessional

    28 Citations (Scopus)
    83 Downloads (Pure)

    Abstract

    We propose a method through which dynamic sensor nodes determine that they move together, by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, with an execution time of 6ms, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method is reliable and distinguishes between joint and separate movements. In addition, we analyze the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more reliable, more robust to sensor alignment problems and, potentially, more accurate by using extended features, such as speed and distance.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Number of pages19
    Publication statusPublished - 30 Jan 2007

    Publication series

    NameCTIT Technical Report Series
    PublisherCentre for Telematics and Information Technology, University of Twente
    No.TR-CTIT-07-06
    ISSN (Print)1381-3625

    Keywords

    • CAES-PS: Pervasive Systems
    • IR-66944
    • EWI-9261
    • METIS-242155

    Cite this

    Marin Perianu, R., Marin Perianu, M., Havinga, P. J. M., & Scholten, J. (2007). Movement-based Group Awareness with Wireless Sensor Networks. (CTIT Technical Report Series; No. TR-CTIT-07-06). Enschede: Centre for Telematics and Information Technology (CTIT).