Energy efficiency analysis of an RLS-based adaptive signal processing algorithm for energy aware sensor networks

Author

Chebolu, Madhavi L. ; Jayaweera, Sudharman K.

Author_Institution

Dept. of ECE, Wichita State Univ., KS, USA

fYear

2005

fDate

4-7 Jan. 2005

Firstpage

13

Lastpage

18

Abstract

A joint source coding and RLS-based adaptive signal processing approach that exploits the inherent correlations among the sensor data, in order to improve energy efficiency of low-power wireless sensor networks is proposed. The energy efficiency is achieved by reducing the transmission requirements from sensors. A semi-analytical technique is presented in order to determine the energy-efficiency of the proposed scheme taking into account both communications and circuit power consumptions. The numerical results obtained with real sensor data show that the proposed scheme offers significant energy savings compared to previously proposed schemes.

Keywords

adaptive signal processing; correlation methods; distributed algorithms; least mean squares methods; power consumption; source coding; wireless sensor networks; RLS-based adaptive signal processing algorithm; circuit power consumptions; energy aware sensor networks; energy efficiency analysis; low-power wireless sensor networks; sensor data; source coding; Adaptive signal processing; Algorithm design and analysis; Condition monitoring; Energy consumption; Energy efficiency; Gas detectors; Large-scale systems; Signal analysis; Signal processing algorithms; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on

Print_ISBN

0-7803-8840-2

Type

conf

DOI

10.1109/ICISIP.2005.1529412

Filename

1529412