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, 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 language | English |
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Title of host publication | Pervasive Computing |
Subtitle of host publication | 5th International Conference, PERVASIVE 2007, Toronto, Canada, May 13-16, 2007. Proceedings |
Editors | Anthony LaMarca, Marc Langheinrich, Khai N. Truong |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 298-315 |
Number of pages | 18 |
ISBN (Electronic) | 978-3-540-72037-9 |
ISBN (Print) | 978-3-540-72036-2 |
DOIs | |
Publication status | Published - May 2007 |
Event | 5th International Conference on Pervasive Computing, PERVASIVE 2007 - Toronto, Canada Duration: 13 May 2007 → 16 May 2007 Conference number: 5 http://pervasiveconference.org/2007/index.phtml |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 4480 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 5th International Conference on Pervasive Computing, PERVASIVE 2007 |
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Abbreviated title | PERVASIVE |
Country/Territory | Canada |
City | Toronto |
Period | 13/05/07 → 16/05/07 |
Internet address |
Keywords
- EWI-8135
- METIS-242151
- IR-66603
- CAES-PS: Pervasive Systems