Information Fusion and Change Point Detection in Mutual Exclusive Distributive Clustering

Wireless Sensor Networks in present world are not only aimed for sensing for regular data gathering, can also aimed to extract useful information i.e. Information Fusion. Information Fusion is sometime targeted for change point detection or it can be said for event detection in present scenario. Thi...

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Bibliographic Details
Published in:Procedia computer science 2015, Vol.65, p.592-600
Main Authors: Singh, Yashwant, Chugh, Urvashi, Murthy, Ramana
Format: Article
Language:English
Subjects:
Change point detection
Fuzzy theory
MEDC
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Summary:Wireless Sensor Networks in present world are not only aimed for sensing for regular data gathering, can also aimed to extract useful information i.e. Information Fusion. Information Fusion is sometime targeted for change point detection or it can be said for event detection in present scenario. This paper will present information fusion and change point detection merged with our previously proposed work i.e. Mutual Exclusive Distributive Clustering (MEDC). In this paper change point Detection is aimed for forest fire detection via fuzzy logic. MEDC protocol will perform clustering and after that, these cluster heads will use fuzzy logic to represent change point detection. Fire detection is considered here as application for change point detection. In this paper for simulation purpose, data is taken from National Oceanic and Atmospheric Administration [15] and Occupational Safety and health administration [4].
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2015.09.003