A dynamic algorithm to improve industrial Wireless Sensor Networks management

Author

Collotta, Mario ; Gentile, Luca ; Pau, Giovanni ; Scatà, Gianfranco

Author_Institution

Kore Univ. of Enna, Enna, Italy

fYear

2012

fDate

25-28 Oct. 2012

Firstpage

2802

Lastpage

2807

Abstract

In industrial Wireless Sensor Networks (WSNs), traffic flows are characterized by regular arrival times and real-time constraints. Sampling times management is a key aspect in terms of timeliness in information retrieval and real-time management of critical events in factory automation. This paper shows an algorithm that dynamically update sampling times in an industrial monitoring system based on WSNs. Sampling times are determined using gathered information and network efficiency parameters.

Keywords

factory automation; telecommunication network management; telecommunication traffic; wireless sensor networks; arrival times; factory automation; industrial monitoring system; industrial wireless sensor networks management; information retrieval; network efficiency; real-time constraints; sampling times management; traffic flows; Artificial neural networks; Interference; Monitoring; Noise; Production facilities; Valves; Wireless sensor networks; Industrial Wireless Sensor Networks; Power Consumption; Process Control; Real-Time constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Conference_Location

Montreal, QC

ISSN

1553-572X

Print_ISBN

978-1-4673-2419-9

Electronic_ISBN

1553-572X

Type

conf

DOI

10.1109/IECON.2012.6389451

Filename

6389451