Abstract
| Original language | Undefined |
|---|---|
| Place of Publication | Enschede |
| Publisher | Centre for Telematics and Information Technology (CTIT) |
| Number of pages | 19 |
| Publication status | Published - 30 Jan 2007 |
Publication series
| Name | CTIT Technical Report Series |
|---|---|
| Publisher | Centre 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
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Movement-based Group Awareness with Wireless Sensor Networks. / Marin Perianu, Raluca; Marin Perianu, Mihai; Havinga, Paul J.M.; Scholten, Johan.
Enschede : Centre for Telematics and Information Technology (CTIT), 2007. 19 p. (CTIT Technical Report Series; No. TR-CTIT-07-06).Research output: Book/Report › Report › Professional
TY - BOOK
T1 - Movement-based Group Awareness with Wireless Sensor Networks
AU - Marin Perianu, Raluca
AU - Marin Perianu, Mihai
AU - Havinga, Paul J.M.
AU - Scholten, Johan
PY - 2007/1/30
Y1 - 2007/1/30
N2 - 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.
AB - 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.
KW - CAES-PS: Pervasive Systems
KW - IR-66944
KW - EWI-9261
KW - METIS-242155
M3 - Report
T3 - CTIT Technical Report Series
BT - Movement-based Group Awareness with Wireless Sensor Networks
PB - Centre for Telematics and Information Technology (CTIT)
CY - Enschede
ER -