Masters of Engineering - Research
School of Electrical, Computer and Telecommunication Engineering - Faculty of Engineering
Desmet, Antoine, Application of wacnet to ambient intelligent systems, M.E-Res thesis, School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, 2008. http://ro.uow.edu.au/theses/408
Control Systems have gone through several stages of development over the past decades. While Fieldbus is now the established global standard for factories and plants, new areas of development are opening, requiring radically different control network architectures. There is currently a strong demand for wireless control networks capable of meeting the application-specific requirements of military, agricultural and biological, building control, land surveying, monitoring and control networks. These new applications have characteristics which are much different from factory applications, including high autonomy and low maintenance, flexibility and adaptation in dynamic environments, extremely small size, rapid and sometimes random deployment, automatic handling of the failed nodes, etc. With the advent of widespread, standardized and reliable wireless standards, a new generation of wireless control networks appears feasible. The concept of Wireless Ad-hoc Control Networks (WACNets) is an ongoing research project which began in 2004, at the University of Wollongong. A WACNet consists of a large number of geographically distributed intelligent and heterogeneous nodes with sensing and/or actuation, local intelligence and control, data processing and wireless communication components. This research project pursues the technological development of the WACNet architecture and hardware, using the state of the art technologies. The other main contribution of this work is the validation of the WACNet platform for real-life applications. A Home Ambient Intelligent system for resource consumption reduction is designed to run on a WACNet architecture. The capacity of a WACNet to support a learning algorithm and the resulting network load is studied. The results of the validation process demonstrate the potential of WACNets to support real-life applications, and also highlight the technical challenges which will have to be tackled before the stage of a commercially-viable product can be reached.
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