DocumentCode :
2072378
Title :
A Common Data Model for Sensor Network Integration
Author :
Amato, Flora ; Casola, Valentina ; Gaglione, Andrea ; Mazzeo, Antonino
Author_Institution :
Dipt. di Inf. e Sist., Univ.´´ degli Studi di Napoli, Naples, Italy
fYear :
2010
fDate :
15-18 Feb. 2010
Firstpage :
1081
Lastpage :
1086
Abstract :
One of the main open issues in the development of applications for sensor network management is the definition of interoperability mechanisms among the several monitoring systems and heterogeneous data. Interesting researches related to integration techniques have taken place, they are primary based on the adoption of sharing data-mechanisms; furthermore in the last years, the Service-Oriented Architecture (SOA) approach has become predominant in many sensor network projects as it enables the cooperation and interoperability of different sensor platforms at an higher level of abstraction. In this paper we propose a novel architecture for the interoperability of sensor networks, which is based on Web services technologies and on the definition of a common data model enriched with semantic concepts and annotations. The proposed architecture allows the development of complex application by integration of heterogeneous data, accessible through services, according to standard data format and standard protocols.
Keywords :
Web services; data handling; open systems; software architecture; Web services technologies; common data model; data format; data-sharing mechanisms; heterogeneous data; interoperability mechanisms; sensor network integration; sensor network management; service-oriented architecture; Data models; Disaster management; Environmental management; Intelligent sensors; Measurement standards; Risk management; Sensor phenomena and characterization; Sensor systems; Service oriented architecture; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-1-4244-5917-9
Type :
conf
DOI :
10.1109/CISIS.2010.124
Filename :
5447269
Link To Document :
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