DocumentCode
2075542
Title
Environmental Intelligence Based on Advanced Sensor Networks
Author
Stipanicev, D. ; Bodrozic, Lj ; Stula, M.
Author_Institution
Split Univ., Split
fYear
2007
fDate
27-30 June 2007
Firstpage
209
Lastpage
212
Abstract
By appropriate integration of advanced ICT systems in an environment, in a way that those highly technological systems become almost its integral part, it is possible to provide additional environment features. Those features are primarily self-monitoring and self-protection, giving the environment rudimentary intelligence and possibility, to operate not only by reaction, but also to operate proactively, having in "mind" its self-protection. In such a way the environment becomes the intelligent environment or more accurately the intelligent self-monitoring, self-protecting and self-aware environment that reacts on changes and in real time alarms humans responsible for appropriate environment protection actions which will prevent environment further degradation. The paper describes overall architecture of such intelligent environment based on advanced sensor network called the observer network. As an example the system architecture of the forest fire monitoring system is discussed.
Keywords
environmental degradation; environmental management; intelligent sensors; advanced sensor networks; environmental intelligence; forest fire monitoring system; Artificial intelligence; Degradation; Fires; Humans; Intelligent networks; Intelligent sensors; Intelligent systems; Monitoring; Protection; Sensor phenomena and characterization; environmental intelligence; forest fire detection; observer network; sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location
Maribor
Print_ISBN
978-961-248-029-5
Electronic_ISBN
978-961-248-029-5
Type
conf
DOI
10.1109/IWSSIP.2007.4381190
Filename
4381190
Link To Document