Tryear: 2009

Trmonth: 5

Trnumber: 3

Title: Energy Efficient Sampling for Event Detection in Wireless Sensor Networks

Abstract: Compressive Sensing (CS) is a recently developed mechanism that allows signal acquisition and compression to be performed in one inexpensive step so that the sampling process itself produces a compressed version of the signal. This significantly improves systemic energy efficiency because the average sampling rate can be considerably reduced and explicit compression eliminated. In this paper, we introduce a modi&#64257;cation to the canonical CS recovery technique that enables even higher gains for event detection applications. We show a practical implementation of this compressive detection with energy constrained wireless sensor nodes and quantify the gains accrued through simulation and experimentation. <br> <hr> <a href=http://nesl.ee.ucla.edu/fw/zainul/ISLPED-WBPcode.zip>Source Code</a> <hr>

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Urlpdfpaper: http://nesl.ee.ucla.edu/fw/zainul/sp166-charbiwala.pdf

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Urlpdfpresentation: http://nesl.ee.ucla.edu/fw/zainul/islped09-slides.pdf

Urlsrcpresentation: http://nesl.ee.ucla.edu/fw/zainul/islped09-slides.key

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Pubin: Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED)

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Pubpagefirst: 419

Pubpagelast: 424

Pubpagecount: 6

Pubdate: 2009-08-01

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Pubplace: San Francisco, CA

Publisher: ACM

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Islabdocument: true

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Document category: #<DocumentCategory:0x007f418d277b50>

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