(Research) Data acquisition via compressive sensing in wireless sensor networks / (Skills) Best Papers Easter 2010
- đ¤ Speaker: Wei Chen and others
- đ Date & Time: Monday 07 June 2010, 14:00 - 15:00
- đ Venue: SS03, William Gates Building
Abstract
Data acquisition via compressive sensing in wireless sensor networks, Wei Chen
Compressive sensing (CS), also called compressed sensing and Sub-Nyquist sampling, has a surprising property that one can recover sparse signals from far fewer samples than is predicted by the Nyquist-Shannon sampling theorem. Wireless sensor networks (WSN) provide the ability to monitor various physical characteristics of the real world, such as sound, temperature, humidity, etc., by distributing a large number of inexpensive small devices in the detected environment. We apply CS in WSN for the benefit of saving energy, computing quantity and transmission. I will introduce my first year’s work on this topic.
Series This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.
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Wei Chen and others
Monday 07 June 2010, 14:00-15:00