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Details of Grant 

EPSRC Reference: EP/D501008/1
Title: Optical wireless communications for micro-machines
Principal Investigator: O'Brien, Professor D
Other Investigators:
Elston, Professor SJ Collins, Dr S
Researcher Co-Investigators:
Project Partners:
Department: Engineering Science
Organisation: University of Oxford
Scheme: Standard Research (Pre-FEC)
Starts: 01 November 2005 Ends: 31 January 2009 Value (£): 295,635
EPSRC Research Topic Classifications:
Electronic Devices & Subsys. Networks & Distributed Systems
Optical Communications
EPSRC Industrial Sector Classifications:
Communications Electronics
Related Grants:
Panel History:  
Summary on Grant Application Form
As complete machines and processing systems become smaller in scale, with complete systems having dimensions of 100s of microns, to microns and below the problem of providing communications with and between these structures becomes acute. The scale of the outside world remains constant, whilst the scale of these complete systems continues to shrink. The semiconductor technology 'Roadmap' predicts it will be possible to build electronic systems of the order of tens of microns in size within the next decade or so.Locating and communicating with such' smart dust' is a formidable challenge, and free-space optical data links are an excellent candidate to provide low-power wireless communications between these elements. Retro-reflecting data transceivers that do not require a source of light can be built into the smart dust, and provide the communications require to network these elements. Such a system can be used for environmental sensing, mapping and other functions.The programme aims to demonstrate ad-hoc optical wireless networking between liquid-crystal based retro-reflecting transceivers and to investigate how this would scale to systems that will exist over the next decade. Low power CMOS electronics will be combined with low voltage liquid crystal modulators and the necessary optics in order to achieve this. Data from these experiments will be used together with models to predict the future performance of such systems
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Organisation Website: http://www.ox.ac.uk