DocumentCode
2859878
Title
Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments
Author
O´Connor, Edel ; Dian Zhang ; Smeaton, A.F. ; O´Connor, N.E. ; Regan, F.
fYear
2012
fDate
14-19 Oct. 2012
Firstpage
1
Lastpage
9
Abstract
The world´s oceans represent a vital resource to global economies and there exists huge economic opportunity that remains unexploited. However along with this huge potential there rests a responsibility into understanding the effects various developments may have on our natural ecosystem. This along with a variety of other issues necessitates a need for continuous and reliable monitoring of the marine and freshwater environment. The potential for innovative technology development for marine and freshwater monitoring and knowledge generation is huge and recent years have seen huge leaps forward in relation to the development of sensor technology for such purposes. However despite the advancements there are still a number of issues. In our research we advocate a multi-modal approach to create smarter more efficient monitoring networks, while enhancing the use of in-situ wireless sensor networks (WSNs). In particular we focus on the use of visual sensors, modelled outputs and context information to support a conventional in-situ wireless sensor network creating a multi-modal environmental monitoring network. Here we provide an overview of a selection of our work in relation to the use of visual sensing through networked cameras or satellite imagers in three very diverse test sites - a river catchment, a busy port and a coastal environment.
Keywords
ecology; image sensors; oceanographic techniques; rivers; seawater; wireless sensor networks; Ireland; coastal environments; economic opportunity; freshwater environments; innovative technology development; knowledge generation; monitoring networks; multimodal sensor networks; natural ecosystem; networked cameras; port environement; river catchment; satellite imagers; visual sensors; wireless sensor networks; Cameras; Feature extraction; Monitoring; Rivers; Sensors; Visualization; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Oceans, 2012
Conference_Location
Hampton Roads, VA
Print_ISBN
978-1-4673-0829-8
Type
conf
DOI
10.1109/OCEANS.2012.6404894
Filename
6404894
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