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 ETH Zurich :
Computer Science :
Pervasive Computing :
Distributed Systems :
Education :
SS2005 : DS
Adaptive Sampling for Sensor Networks
Finding suitable trade-offs between accuracy, coverage, and resource
consumption
Betreuer: Silvia Santini
Philippe Bourquin
Abstract
Sensor networks are systems consisting of a manifold of sensing devices
connected by an ad hoc network.
Measurement accuracy and coverage are key issues for obtaining consistent
observation results from sensor networks. However, unnecessary data
acquisition and transmission as well as oversufficient accuracy must be
avoided since sensor nodes typically have only scarce storage,
communication, and computation capabilities.
Adaptive sampling techniques in sensor network help achieve a suitable
trade-off among accuracy, coverage, and resource consumption.
The presentation should point out the reasons that justify the use of
adaptive sampling techniques in sensor networks, investigate existing
approaches and underline benefits and drawbacks.
Literatur
- A. Jain, E. Y. Chang
Adaptive Sampling for Sensor Networks.
Proceeedings of the 1st international workshop on Data management for sensor networks (DMSN '04). 2004
BibTeX, Paper (.pdf)
- D. Ganesan, S. Ratnasamy, H. Wang, D. Estrin
Coping with Irregular Spatio-temporal Sampling in Sensor Networks.
2nd Workshop on Hot Topics in Networks (HotNets-II) 2003. Cambridge (MA) USA, November 2003
Abstract, BibTeX, Paper (.pdf)
- A. D. Marbini, L. E. Sacks
Adaptive Sampling Mechanisms in Sensor Networks.
London Communications Symposium. London, UK, 2003
BibTeX, Paper (.pdf)
- D. Estrin, D. Culler, K. Pister, G. Sukhatme
Connecting the Physical World with Pervasive Networks.
IEEE Pervasive Computing, Vol. 1, No. 1, pp. 59--69, 2002
BibTeX, Paper (.pdf)
- P. Bonnet, J. E. Gehrke, P. Seshadri
Querying the Physical World.
IEEE Journal of Selected Areas in Communications, Vol. 7, No. 5, pp. 10--15, October 2000
BibTeX, Paper (.pdf)
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