(Research) Data acquisition via compressive sensing in wireless sensor networks / (Skills) Best Papers Easter 2010

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• Wei Chen and others
• Monday 07 June 2010, 14:00-15:00
• SS03, William Gates Building.

If you have a question about this talk, please contact Andrew Rice.

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.

This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge talks
• Computer Laboratory Digital Technology Group (DTG) Meetings
• Department of Computer Science and Technology talks and seminars
• Interested Talks
• SS03, William Gates Building
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31

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