DocumentCode :
2644888
Title :
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
Link To Document :
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