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Annals of Telecommunications
Erschienen in: Annals of Telecommunications 9-10/2018

29.01.2018

Cognitive-based multi-radio prototype for industrial environment

verfasst von: Michele Ligios, Maria Teresa Delgado, Davide Conzon, Rosaria Rossini, Francesco Sottile, Claudio Pastrone

Erschienen in: Annals of Telecommunications | Ausgabe 9-10/2018

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Abstract

Today, a large number of cost-saving and energy-efficient applications are enabled by wireless sensor and actuator networks (WSANs). Usually, these solutions have serious connectivity problems in scenarios where other wireless technologies are co-located sharing the frequency spectrum (e.g., industrial shop-floors). To cope with this issue, the concept of multi-radio (MR) has been introduced, which promotes the simultaneous use of multiple radio communication interfaces, leveraging their different characteristics, to improve the overall system performance and reliability. The proposed approach based on cognitive algorithm considers two wireless technologies operating at the 2.4-GHz frequency band, namely Wi-Fi and 6LoWPAN, and provides a concrete implementation of the system using a real test-bed industry scenario. The solution provides a reliable communication infrastructure for manufacturing processes, firstly combining the properties of several physical layer standards and secondly providing the ability to recover from temporary network failures by switching from a communication channel to another one.
Vorheriger Artikel Performance analysis of cross layer design with imperfect channel information in distributed antenna systems

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Fußnoten
2
In a crisp data set, an element is either a member of the set or not; instead, fuzzy data sets allow elements to be partially in a set.
 
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Metadaten
Titel
Cognitive-based multi-radio prototype for industrial environment
verfasst von
Michele Ligios
Maria Teresa Delgado
Davide Conzon
Rosaria Rossini
Francesco Sottile
Claudio Pastrone
Publikationsdatum
29.01.2018
Verlag
Springer International Publishing
Erschienen in
Annals of Telecommunications / Ausgabe 9-10/2018
Print ISSN: 0003-4347
Elektronische ISSN: 1958-9395
DOI
https://doi.org/10.1007/s12243-018-0626-7

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