Linear high-order distributed average consensus algorithm in wireless sensor networks

Author

Xiong, Gang ; Kishore, Shalinee

Author_Institution

ECE Dept., Lehigh Univ., Bethlehem, PA, USA

fYear

2009

Firstpage

529

Lastpage

532

Abstract

This paper presents a linear high-order distributed average consensus (DAC) algorithmfor wireless sensor networks. The average consensus property and convergence rate of the highorder DAC algorithm are analyzed. In particular, the convergence rate is determined by the spectral radius of a network topology dependent matrix. Numerical results indicate that this simple linear high-order DAC algorithm can accelerate the convergence without additional communication overhead and reconfiguration of network topology.

Keywords

telecommunication network topology; wireless sensor networks; average consensus property; communication overhead; convergence rate; linear high-order distributed average consensus algorithm; network topology dependent matrix; network topology reconfiguration; spectral radius; wireless sensor networks; Acceleration; Algorithm design and analysis; Convergence of numerical methods; Costs; Intelligent networks; Monitoring; Network topology; Reconnaissance; Surveillance; Wireless sensor networks; Distributed average consensus; high-order; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on

Conference_Location

Cardiff

Print_ISBN

978-1-4244-2709-3

Electronic_ISBN

978-1-4244-2711-6

Type

conf

DOI

10.1109/SSP.2009.5278521

Filename

5278521