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Pregled bibliografske jedinice broj: 328591

Zbornik radova

Autori: Bodrožić, Ljiljana; Stipaničev, Darko; Krstinić, Damir
Naslov: Data fusion in observer networks
Izvornik: Proceedings of The Second International Workshop on Information Fusion and Dissemination in Wireless Sensor Networks / Yang, L.T. ; Biswas, P.K. ; Hussain, S. (ur.). - Pisa : IEEE , 2007. 1-6.
Dio CC časopisa: NE
Skup: International Workshop on Information Fusion and Dissemination in Wireless Sensor Networks (2 ; 2007)
Mjesto i datum: Pisa, Italija, 08.--11.10.2007.
Ključne riječi: sensors; image sensors; observers; multi sensor systems; sensor fusion
Sažetak:
Sensor network (SN) and wireless sensor network (WSN) are one of the key technologies in development for 21 century, challenging the imagination of scientists and engineers. A sensor network, deployed directly in an area of interest can provide a large volume of data. Increasing the volume of data, we must create robust algorithms and paradigm for data collecting and utilization. In those cases sensor network with more powerful data processing has to be used. We have introduced such a network using the term the “ observer network” . The observer network is more advanced sensor network inspirited and formally mathematically described using theory of perception and a notation of the observer introduced in 1987. by Bennet, Hoffman and Prakash. The paper main topic is data fusion in observer network. Observer network is based on multi sensor data fusion identifying phenomenon of interest. Data fusion is important on several levels. Two of them are of our particular interest: data fusion in service (information) level, used for network operation failure identification and data fusion in application (knowledge) layer used for final identification of observed phenomenon. As an example, our case study, the advanced forest fire monitoring system will be discussed. Forest fires represent a constant threat to ecological system with possible severe impact on the whole environment. Our particular case study was forest fire protection on Croatian coast and islands, because they have quite enhanced summer forest fire risk. The intelligent forest fire monitoring system called iForestFire was designed using the observer network philosophy and successfully tested during 2005 and 2006 fire seasons. In this paper we will focus primarily on data fusion in intelligent forest fire monitoring system designed as an observer network.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (in extenso)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 023-0232005-2003
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Puni text rada: 328591.328498.1569049491.pdf (tekst priložen 5. Svi. 2010. u 10:48 sati)
Tiskani medij: da
CD/DVD medij: da
Upisao u CROSBI: 1 (1), 12. Tra. 2008. u 06:49 sati



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