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IFIP12
2009

Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks

9 years 8 months ago
Use of AI Techniques for Residential Fire Detection in Wireless Sensor Networks
: Early residential fire detection is important for prompt extinguishing and reducing damages and life losses. To detect fire, one or a combination of sensors and a detection algorithm are needed. The sensors might be part of a wireless sensor network (WSN) or work independently. The previous research in the area of fire detection using WSN has paid little or no attention to investigate the optimal set of sensors as well as use of learning mechanisms and Artificial Intelligence (AI) techniques. They have only made some assumptions on what might be considered as appropriate sensor or an arbitrary AI technique has been used. By closing the gap between traditional fire detection techniques and modern wireless sensor network capabilities, in this paper we present a guideline on choosing the most optimal sensor combinations for accurate residential fire detection. Additionally, applicability of a feed forward neural network (FFNN) and Na
Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havi
Added 20 Feb 2011
Updated 20 Feb 2011
Type Journal
Year 2009
Where IFIP12
Authors Majid Bahrepour, Nirvana Meratnia, Paul J. M. Havinga
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