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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Marin-Perianu, R., Marin-Perianu, M., Havinga, P., & Schölten, H. (2007). Movement-based group awareness with wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4480 LNCS, pp. 298–315). Springer Verlag. https://doi.org/10.1007/978-3-540-72037-9_18
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