Energy efficient sensor node implementations

Authors:
Jan R. Frigo;Eric Y. Raby;Sean M. Brennan;Christophe Wolinski;Charles Wagner;Francois Charot;Edward Rosten;Vinod K. Kulathumani
Affiliations:
Los Alamos National Laboratory, Los Alamos, NM, USA;Los Alamos National Laboratory, Los Alamos, NM, USA;Los Alamos National Laboratory, Los Alamos, NM, USA;University of Rennes, Rennes , France;University of Rennes, Rennes , France;University of Rennes, Rennes , France;University of Cambridge, Cambridge, United Kingdom;West Virginia University, Morgantown, USA
Venue:
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
Year:
2010

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Abstract

In this paper, we discuss a low power embedded sensor node architecture we are developing for distributed sensor network systems deployed in a natural environment. In particular, we examine the sensor node for energy efficient processing-at-the-sensor. We analyze the following modes of operation; event detection, data acquisition, and data processing using low power, high performance embedded technology such as specialized embedded DSP processors and low power FPGAs at the sensing node. We use compute intensive sensor node applications: an acoustic vehicle classifier (frequency domain analysis) and a video license plate identification application (learning algorithm). We report performance and energy for these applications and discuss the system architecture design trade offs.