Energy Efficiency of Universal Decentralized Estimation in Random Sensor Networks

Author

Noori, Moslem ; Ardakani, Masoud

Author_Institution

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

Volume

10

Issue

12

fYear

2011

fDate

12/1/2011 12:00:00 AM

Firstpage

4023

Lastpage

4028

Abstract

Universal decentralized estimation (UDES) is one of the most well-known decentralized estimation techniques proposed for wireless sensor networks (WSNs). UDES and other decentralized estimation algorithms are proposed in view of the limited available energy at the sensors. In this work, we study energy efficiency of UDES for randomly deployed WSNs via finding the distribution and expected value of the number of bits that a sensor sends to the fusion center. Then, we find the probability of achieving a desired lifetime by the sensor. Our analytical results are verified through computer simulation.

Keywords

energy conservation; probability; sensor fusion; wireless sensor networks; computer simulation; energy efficiency; fusion center; probability; random sensor network; universal decentralized estimation; wireless sensor network; Analytical models; Approximation methods; Noise measurement; Wireless sensor networks; Random sensor networks; energy efficiency; universal decentralized estimation;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2011.100611.102040

Filename

6047550