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Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments

O'Connor, Edel, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Regan, Fiona orcid logoORCID: 0000-0002-8273-9970 (2012) Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments. In: IEEE Oceans 12, 14-19 Oct 2012, Hampton Roads, Virginia.

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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:sensor networks; multi-modal sensor networks; visual sensing; satellite sensing
Subjects:Engineering > Imaging systems
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17388
Deposited On:26 Oct 2012 11:23 by Edel O'Connor . Last Modified 22 Oct 2018 15:08
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