Energy Efficient Sampling for Event Detection in Wireless Sensor Networks

In Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED) , pp:419-424 , 6 pages , ACM , San Francisco, CA , August 2009.

NESL Technical Report #: TR-UCLA-NESL-200905-03

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 modification 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.

• Zainul M Charbiwala
• Younghun Kim
• Sadaf Zahedi
• Jonathan Friedman
• Mani B Srivastava

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