Abstract
With the increasingly ubiquitous use of web-based technologies in modern society, autonomous sensor networks represent the future in large-scale information acquisition for applications ranging from environmental monitoring to in-vivo sensing. This chapter presents a range of on-going projects with an emphasis on environmental sensing; relevant literature pertaining to sensor networks is reviewed, validated sensing applications are described and the contribution of high-resolution temporal data to better decision-making is discussed.
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Abbreviations
- μFIA:
-
Micro-flow injection analysis
- μTAS:
-
Miniaturised total analysis system
- ANN:
-
Artificial neural network
- DCU:
-
Dublin City University
- EPA:
-
Environmental Protection Agency
- FET:
-
Field-effect transistor
- GC:
-
Gas chromatography
- GHG:
-
Greenhouse gas(es)
- GPRS:
-
General packet radio service
- GSM:
-
Global system for mobile communications
- ICT:
-
Information and communication technology
- IR:
-
Infra-red
- ISE:
-
Ion selective electrode
- LED:
-
Light emitting diode
- LOD:
-
Limit of detection
- MS:
-
Mass spectroscopy
- OEJT:
-
Organic electrochemical junction transistors
- PEDD:
-
Paired emitter detector diodes
- SC-ISE:
-
Solid contact ion selective electrode
- UME:
-
Ultra miniature electrode
- VOC:
-
Volatile organic compound
- WFD:
-
Water framework directive
- WSN:
-
Wireless sensor network
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Acknowledgements
We acknowledge support for this research from Science Foundation Ireland through the CLARITY Centre (grant code 07/CE/I1147), Enterprise Ireland (grant codes IP/2008/544 and CFTD/08/111) and the Irish Environmental Protection Agency (grant code 2010-ET-MS-10). We also acknowledge support from Episensor Ltd. in project IP/2008/544.
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Diamond, D., Collins, F., Cleary, J., Zuliani, C., Fay, C. (2012). Distributed Environmental Monitoring. In: Filippini, D. (eds) Autonomous Sensor Networks. Springer Series on Chemical Sensors and Biosensors, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/5346_2012_33
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