Recommended Citation
Postprint version. Published in IEEE International Symposium on Parallel & Distributed Processing, 2009 Proceedings: Rome, Italy, May 23, 2009, pages 1-7.
NOTE: At the time of publication, the author Bridget Benson was not yet affiliated with Cal Poly.
The definitive version is available at https://doi.org/10.1109/IPDPS.2009.5161196.
Abstract
Small, dense underwater sensor networks have the potential to greatly improve undersea environmental and structural monitoring. However, few sensor nets exist because commercially available underwater acoustic modems are too costly and energy inefficient to be practical for this applications. Therefore, when designing an acoustic modem for sensor networks, the designer must optimize for low cost and low energy consumption at every level, from the analog electronics, to the signal processing scheme, to the hardware platform. In this paper we focus on the design choice of hardware platform: digital signal processors, microcontrollers, or reconfigurable hardware, to optimize for energy efficiency while keeping costs low. We implement one algorithm used in an acoustic modem design - matching pursuits for channel estimation - on all three platforms and perform a design space exploration to compare the timing, power and energy consumption of each implementation. We show that the reconfigurable hardware implementation can provide a maximum of 210 X and 52 X decrease in energy consumption over the microcontroller and DSP implementations respectively.
Disciplines
Electrical and Computer Engineering
Copyright
2009 IEEE.
Publisher statement
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URL: https://digitalcommons.calpoly.edu/eeng_fac/254