Research Repository

An intelligent object framework for smart living

Savic, Sasa and Shi, Hao (2011) An intelligent object framework for smart living. In: The 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011) . The 8th International Conference on Mobile Web Information Systems (MobiWIS 2011). Shakshuki, Elhadi and Younas, Muhammad, eds. Procedia computer science (5). Elsevier, Amsterdam, pp. 386-393.

Full text for this resource is not available from the Research Repository.


Wireless embedded modules have increasingly been implemented on a range of devices, becoming a standard inclusion in mobile technology, entertainment systems and gaming consoles. It will not be far off before they are introduced to household appliances and industrial devices. However, the key challenge is that each manufacturer implements a proprietary set of protocols and standards, and in addition, a set of management applications, which add an unnecessary overhead of compatibility issues and protocol inconsistencies. The aim of the project is to propose an Intelligent Object Framework (IOF), a new communication standard over a wireless network without the existing complexity of a multiple set of architectural solutions. The Intelligent Object Framework consists of a framework design that enables devices of different platforms to communicate by a common data exchange model via a device management controller. In this paper, a prototype of the Intelligent Object Framework is implemented based on Microsoft .NET framework. A substantial amount of research work is carried out to create IOF Management Studio, Intelligent Objects devices, system integration and testing. It demonstrates that a single application can manage multiple Intelligent Object devices efficiently under the proposed Intelligent Object Framework.

Item Type: Book Section
Uncontrolled Keywords: ResPubID22814, intelligent object framework, IOF, intelligent object, IO, devices, ambient systems, smart living, smart phones, protocol
Subjects: Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 0805 Distributed Computing
Historical > SEO Classification > 8902 Computer Software and Services
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 03 Jul 2013 02:47
Last Modified: 27 Oct 2020 21:38
ePrint Statistics: View download statistics for this item
Citations in Scopus: 1 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar