Paper Info
Title
Assessing the challenges of environmental signal processing through the sensorscope project
Abstract
SensorScope is a collaborative project between network, sig- nal processing, and environmental researchers that aims at providing a cheap and out-of-the-box environmental monitor- ing system based on a wireless sensor network. It has been successfully used in a number of deployments to gather hun- dreds of megabytes of environmental data. With data gather- ing techniques well mastered, the efficient processing of the huge amounts of the acquired information to allow for use- ful exploitation has become an increasingly important issue. In this paper, we present a number of challenging and rele- vant signal processing tasks that arise from the SensorScope project. We believe the resolution of these problems will ben- efit from a better understanding of the underlying physical processes. We show an example to demonstrate how physi- cal correlations between different sensing modalities can help reduce the sampling rate.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518818
ICASSP
Keywords
Field
DocType
monitoring,signal processing,wireless sensor networks,SensorScope project,environmental monitoring,environmental signal processing,wireless sensor network,Wireless sensor networks,environmental monitoring,environmental signal processing,new challenges,sampling
Signal processing,Telecommunications,Computer science,Megabyte,Sampling (signal processing),Real-time computing,Artificial intelligence,Environmental data,Data collection,Pattern recognition,Sampling (statistics),Wireless sensor network,Environmental monitoring
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Guillermo Barrenetxea141427.80
François Ingelrest239023.34
Yue M. Lu367760.17
Martin Vetterli4139262397.68