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

Volume

19

Issue

4

fYear

2002

fDate

7/1/2002 12:00:00 AM

Firstpage

68

Lastpage

78

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;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2002.1012351

Filename

1012351