Title :
Energy-efficient DSPs for wireless sensor networks
Author :
Wang, Alice ; Chandrakasan, Anantha
Author_Institution :
Design of Low Power Signal Processors for Wireless Sensors, MIT, MA, USA
fDate :
7/1/2002 12:00:00 AM
Abstract :
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)
Keywords :
acoustic signal processing; array signal processing; direction-of-arrival estimation; microsensors; radio networks; tracking; ad-hoc wireless network; base station; computation-communication tradeoffs; dynamic voltage scaling; energy dissipation reduction; energy efficiency; energy-efficient DSP; environmental monitoring; microsensor networks; sensor arrays; sensor cluster; signal processing algorithms; system partitioning; vehicle localization; vehicle tracking; wireless acoustic sensors; wireless sensor networks; Algorithm design and analysis; Computer networks; Digital signal processing; Energy efficiency; Face; Microsensors; Process design; Signal design; Signal processing algorithms; Wireless sensor networks;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2002.1012351
