Movement-based Group Awareness with Wireless Sensor Networks

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

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    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, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method distinguishes between joint and separate movements. In addition, we analyse 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 accurate and more robust to sensor alignment problems.
    Original languageEnglish
    Title of host publicationPervasive Computing
    Subtitle of host publication5th International Conference, PERVASIVE 2007, Toronto, Canada, May 13-16, 2007. Proceedings
    EditorsAnthony LaMarca, Marc Langheinrich, Khai N. Truong
    Place of PublicationBerlin, Heidelberg
    Number of pages18
    ISBN (Electronic)978-3-540-72037-9
    ISBN (Print)978-3-540-72036-2
    Publication statusPublished - May 2007
    Event5th International Conference on Pervasive Computing, PERVASIVE 2007 - Toronto, Canada
    Duration: 13 May 200716 May 2007
    Conference number: 5

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference5th International Conference on Pervasive Computing, PERVASIVE 2007
    Abbreviated titlePERVASIVE
    Internet address


    • EWI-8135
    • METIS-242151
    • IR-66603
    • CAES-PS: Pervasive Systems


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