Context Computing Based on Wireless Features
What we can learn from the RF-channel
Dr. Stephan Sigg

This event took place on 4th July 2012 at 11:30am (10:30 GMT)
Knowledge Media Institute, Berrill Building, The Open University, Milton Keynes, United Kingdom, MK7 6AA

We are surrounded by sensing and actuating wireless devices. This environment is characterised by a high number of devices which can be reportedly explored as atypical ubiquitous sensing devices such as the power supply system, light bulbs or electromagnetic noise. A further ubiquitous sensing source,   incorporated by nearly all electronic devices, and presumably present in all devices that will constitute the Internet of Things, is the RF-interface. The RF-interface is a rich communication medium but also a rich sensing device. Its physical layer capabilities for the description of information and as a fingerprint of environmental situation are only partially explored currently. Environmental changes and situations alter the propagation path of electromagnetic waves and therefore channel characteristics at an RF-receiver, which can, in turn, be utilised for ubiquitous applications. Although this rich context source can support applications in a multitude of ways, its potential is seldom fully exploited. We explore the RF-channel for 1/ the detection of actions and environmental situations from RF features 2/ the reduction of computational load in a distributed context computation 3/ spontaneous, unattended secure device interaction.


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