Minimizing the Effect of Sampling Jitters in Wireless Sensor Networks

Author

Ahmed, Salman ; Chen, Tongwen

Author_Institution

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

Volume

18

Issue

4

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

219

Lastpage

222

Abstract

A wireless sensor network (WSN) consists of low-cost and energy-limited sensors to measure a distributed phenomenon. The finite energy constraint limits the synchronization of sensors at every sampling instant which introduces sampling jitters. In this letter, we model sampling jitters using fractional delay transfer functions. The WSN is modeled using a hybrid multirate filter bank where the objective is to design discrete-time, causal and stable synthesis filters to minimize the effect of sampling jitters. Using a norm-invariant discretization, the hybrid and multirate problem is reduced to a model-matching H₂ optimization problem involving linear time-invariant and discrete-time systems. A numerical example is also presented to show the effectiveness of the proposed approach.

Keywords

jitter; sampling methods; wireless sensor networks; discrete time system; energy-limited sensor; finite energy constraint limit; fractional delay transfer function; hybrid multirate filter bank; linear time invariant system; model-matching H₂ optimization problem; norm-invariant discretization; sampling jitters; stable synthesis filters; synchronization; wireless sensor networks; Biomedical measurements; Delay; Jitter; Optimization; Sensors; Transfer functions; Wireless sensor networks; ${cal H}_{2}$ optimization; Hybrid filter banks; sampling jitters; wireless sensor networks;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2011.2109711

Filename

5705549