Title |
Global Sensor Modeling and Constrained Application Methods enabling Cloud-Based Open Space Smart Services |
ID_Doc |
42655 |
Authors |
Tuán, AL; Quoc, HNM; Serrano, M; Hauswirth, M; Soldatos, J; Papaioannou, T; Aberer, K |
Title |
Global Sensor Modeling and Constrained Application Methods enabling Cloud-Based Open Space Smart Services |
Year |
2012 |
Published |
|
DOI |
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Abstract |
The deployment and provisioning of intelligent systems and utility-based services will greatly benefit from a cloud-based intelligent middleware framework, which could be deployed over multiple infrastructure providers (such as smart cities, hospitals, campus and private enterprises, offices, etc.) in order to deliver on-demand access to smart services. This paper introduces the formulation of an open source integrated intelligent platform as solution for integrating global sensor networks, providing design principles for cloud-based intelligent environments and discuss infrastructure functional modules and their implementation. This paper review briefly technologies enabling the framework, towards emphasizes on-demand establishment of smart cities services based on the automated formulation of ubiquitous intelligence of Internet connected objects. The framework introduced founds on the GSN infrastructure. The framework leverages W3C SSN-XG formal language and the IETF COAP protocol, providing support for enabling intelligent (sensors-objects) services. The service requirements for particular smart city scenario are introduced and initial implementations and results from performed simulations studied and discussed. |
Author Keywords |
Ubiquitous Intelligent; Smart Systems; Global Sensors Network; Middleware; Intelligent Platforms; Services; Architectures; Smart Environments; Smart City; Data Modeling; Ontologies; Internet of Things; Linked Data; Cloud Computing |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000310381500031 |
WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
Research Area |
Computer Science; Engineering |
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