Small logo of ETH main building ETH Zurich : Computer Science : Pervasive Computing : Distributed Systems : Education : SS2005 : DS

Seminar zum Thema "Smarte Objekte und smarte Umgebungen" SS2005

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

ETH ZurichDistributed Systems Group
Last updated August 23 2010 01:54:23 PM MET cfr