Energy Efficient Sampling for Event Detection in Wireless Sensor Networks [Conference Paper]

NESL Technical Report #: 2009-5-3


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 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.

Source Code

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

Page (Start): 419

Page (End): 424

Page (Count): 6

Date: 2009-08-01

Place: San Francisco, CA

Publisher: ACM

Public Document?: Yes

NESL Document?: Yes

Document category: Conference Paper