Bio-Inspired Sensor Network Design

Author

Barbarossa, Sergio ; Scutari, Gesualdo

Author_Institution

Univ. of Rome La Sapienza

Volume

24

Issue

3

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

26

Lastpage

35

Abstract

The goal of this article is to show how a simple self-synchronization mechanism, borrowed from biological systems, can form the basic tool for achieving globally optimal distributed decisions in a wireless sensor network with no need for a fusion center. After describing the basic interaction mechanism among the network nodes, the conditions are illustrated guaranteeing the convergence of each node to a global (or local) consensus coinciding with the globally (locally) optimal decision statistics. The interaction mechanism takes into account the physical channel parameters, such as fading coefficients and propagation delays. Then the results are illustrated through examples of distributed estimation and multiple hypothesis testing. The energy consumption issues are addressed and discuss some possible implementations

Keywords

fading channels; statistics; synchronization; wireless sensor networks; bio-inspired sensor network design; distributed estimation; fading coefficients; multiple hypothesis testing; optimal decision statistics; physical channel parameters; propagation delays; self-synchronization mechanism; wireless sensor network; Bandwidth; Biological systems; Biosensors; Computer networks; Distributed computing; Resilience; Scalability; Sensor systems; Signal design; Statistical distributions;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2007.361599

Filename

4205086