Title
Fire Detection using Wireless Sensor Networks: An Approach Based on Statistical Data Modeling
Abstract
The aim of this work is to propose an innovative architecture for fire detection, using a wireless sensor network. This scheme is based on the statistical modeling of the Angstrom index. So far, such an index has been applied in outdoor environments. The results obtained by our analysis have extended its validity also to indoor scenarios. A key strength of our system is that each sensor node models the collected measures of the index, in order to transmit, in normal conditions, only the parameters of such a model, thus saving energy. To test the effectiveness of our fire detection system, we have simulated a fire in a building using the fire dynamics simulator. Results have shown that our proposed system is able to reach a good tradeoff between energy consumption and detection delay, in several operative conditions.
Year
DOI
Venue
2008
10.1109/NTMS.2008.ECP.46
Tangier
Keywords
Field
DocType
fires,statistical analysis,wireless sensor networks,Angstrom index,energy consumption,fire detection,fire dynamics simulator,statistical data modeling,wireless sensor networks
Sensor node,Data modeling,Simulation,Computer science,Normal conditions,Fire Dynamics Simulator,Statistical model,Energy consumption,Wireless sensor network,Fire detection
Conference
ISBN
Citations 
PageRank 
978-1-42443547-0
4
0.60
References 
Authors
5
4
Name
Order
Citations
PageRank
Gennaro Boggia1116078.53
Pietro Camarda282251.74
Luigi Alfredo Grieco31852104.72
Maria Rita Palattella4372.40