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Energy-efficient DSPs for wireless sensor networks

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2 Author(s)
Wang, A. ; Design of Low Power Signal Processors for Wireless Sensors, MIT, MA, USA ; Chandrakasan, A.

There are many new challenges to be faced in implementing signal processing algorithms and designing energy-efficient DSPs for microsensor networks. We study system partitioning of computation to improve the energy efficiency of a wireless sensor networking application. We explore system partitioning between the sensor cluster and the base station, employing computation-communication tradeoffs to reduce energy dissipation. Also we show that system partitioning of computation within the cluster can also improve the energy efficiency by using dynamic voltage scaling (DVS)

Published in:

Signal Processing Magazine, IEEE  (Volume:19 ,  Issue: 4 )