DocumentCode :
3222850
Title :
Opportunistic information fusion: a new paradigm for next generation networked sensing systems
Author :
Challa, S. ; Gulrez, Tauseef ; Chaczko, Zenon ; Paranesha, T.N.
Author_Institution :
Inf. & Commun. Group, Univ. of Technol., Sydney, NSW, Australia
Volume :
1
fYear :
2005
fDate :
25-28 July 2005
Abstract :
Traditionally, information fusion systems assume that the information is gathered from known sensors over proprietary communication networks and fuse using fixed rules of information fusion and designated computing and communication resources. Emerging technologies like wireless sensor networks, TEDS enabled legacy sensors, ubiquitous computing devices and all IP next generation networks are challenging the rationale of conventional information fusion systems. The technology has matured to a point where it is reasonable to discover sensors based on the context, establish relevance, query for appropriate data, and fuse it using the most appropriate fusion rule, using ubiquitous computing and communication environment in an opportunistic manner. We define such fusion systems as opportunistic information fusion systems. In this paper we introduce this new paradigm for information fusion and identify plausible approaches and challenges to design, develop and deploy the proposed next generation opportunistic information fusion systems.
Keywords :
IP networks; query processing; sensor fusion; wireless sensor networks; IP next generation network; TEDS enabled legacy sensor; communication network; communication resource; computing resource; data querying; information gathering; opportunistic information fusion system; ubiquitous computing device; wireless sensor network; Appropriate technology; Communication networks; Computer networks; Fuses; Next generation networking; Pervasive computing; Sensor fusion; Sensor systems; Ubiquitous computing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2005 8th International Conference on
Print_ISBN :
0-7803-9286-8
Type :
conf
DOI :
10.1109/ICIF.2005.1591925
Filename :
1591925
Link To Document :
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