Energy-Efficient Quantization for Parameter Estimation in Inhomogeneous WSNs

Author

Movaghati, Sahar ; Ardakani, Masoud

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Alberta, Canada

fYear

2011

fDate

5-9 Dec. 2011

Firstpage

1

Lastpage

5

Abstract

The estimation of an unknown parameter using distributed measurements is an essential problem in many wireless sensor network (WSN) applications. In a WSN, the shortage of resources, specially the energy in the sensors, acts as a constraint on the design of estimation algorithms. The existing studies on this problem have developed algorithms that try to limit the total energy in the whole network, yet not considering each sensor´s energy consumption individually. We develop an estimation algorithm for inhomogeneous environments considering the transmission load of individual sensors.

Keywords

energy conservation; energy consumption; parameter estimation; wireless sensor networks; distributed measurement; energy consumption; energy-efficient quantization; inhomogeneous WSN; inhomogeneous environment; unknown parameter estimation; wireless sensor network; Energy consumption; Estimation; Labeling; Noise measurement; Quantization; Sensors; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE

Conference_Location

Houston, TX, USA

ISSN

1930-529X

Print_ISBN

978-1-4244-9266-4

Electronic_ISBN

1930-529X

Type

conf

DOI

10.1109/GLOCOM.2011.6133615

Filename

6133615