Energy efficient sensor network implementations
- Los Alamos National Laboratory
- WEST VIRGINIA UNIV.
- CAMBRIDGE UNIV.
- IRISA
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, sleep(wake-up), data acquisition, data processing modes using low power, high performance embedded technology such as specialized embedded DSP processors and a 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) as a case study. We report performance and total energy usage for our system implementations and discuss the system architecture design trade offs.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 970577
- Report Number(s):
- LA-UR-09-05907; LA-UR-09-5907; TRN: US201002%%1288
- Resource Relation:
- Conference: ACM FPGA 2010 ; February 21, 2010 ; Monterey, CA
- Country of Publication:
- United States
- Language:
- English
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