DocumentCode :
2350767
Title :
A Multi-level Data Fusion Approach for Early Fire Detection
Author :
Sekkas, Odysseas ; Hadjiefthymiades, Stathes ; Zervas, Evangelos
Author_Institution :
Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece
fYear :
2010
fDate :
24-26 Nov. 2010
Firstpage :
479
Lastpage :
483
Abstract :
Wireless Sensor Networks (WSN) allows large scale deployments for environmental monitoring applications especially in the Wild land Urban Interface (WUI) (i.e. in areas where forests and rural lands interface with homes, other buildings and infrastructures). In such areas early fire detection is of great importance as the consequences of a fire are catastrophic. Towards this direction the SCIER project envisages the deployment of Wireless Sensor Networks at the WUI using a multi-level scheme of data fusion to enhance the performance of the early fire detection process.
Keywords :
environmental monitoring (geophysics); fires; sensor fusion; sensor placement; temperature sensors; wireless sensor networks; SCIER project; WUI; early fire detection; environmental monitoring; multilevel data fusion approach; sensor and computing infrastructure for environmental risk; sensor deployment; wildland urban interface; wireless sensor networks; Cusum; Evidence combination rules; Fire detection; Multilevel data fusion; Sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-8828-5
Electronic_ISBN :
978-1-4244-4278-2
Type :
conf
DOI :
10.1109/INCOS.2010.64
Filename :
5702146
Link To Document :
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