Movement-Based Group Awareness with Wireless Sensor Networks

  • Raluca Marin-Perianu
  • Mihai Marin-Perianu
  • Paul Havinga
  • Hans Scholten
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4480)


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.


Sensor Node Wireless Sensor Network Movement Data Movement Information Movement Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Raluca Marin-Perianu
    • 1
  • Mihai Marin-Perianu
    • 1
  • Paul Havinga
    • 1
  • Hans Scholten
    • 1
  1. 1.University of Twente, EnschedeThe Netherlands

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