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A Wireless Cloud Network Platform for Industrial Process Automation: Critical Data Publishing and Distributed Sensing
Pepperl+Fuchs, Sulbiate, Italy.
Institute of Electronics, Computer and Telecommunication Engineering, Milano, Italy.
Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
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2017 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 66, no 4, p. 592-603, article id 7851047Article in journal (Refereed) Published
Abstract [en]

Wireless technologies combined with advanced computing are changing industrial communications. Industrial wireless networks can improve the monitoring and the control of the entire system by jointly exploiting massively interacting communication and distributed computing paradigms. In this paper, we develop a wireless cloud platform for supporting critical data publishing and distributed sensing of the surrounding environment. The cloud system is designed as a self-contained network that interacts with devices exploiting the time synchronized channel hopping protocol (TSCH), supported by WirelessHART (IEC 62591). The cloud platform augments industry-standard networking functions as it handles the delivery (or publishing) of latency and throughput-critical data by implementing a cooperative-multihop forwarding scheme. In addition, it supports distributed sensing functions through consensus-based algorithms. Experimental activities are presented to show the feasibility of the approach in two real industrial plant sites representative of typical indoor and outdoor environments. Validation of cooperative forwarding schemes shows substantial improvements compared with standard industrial solutions. Distributed sensing functions are developed to enable the autonomous identification of recurring cochannel interference patterns.

Place, publisher, year, edition, pages
2017. Vol. 66, no 4, p. 592-603, article id 7851047
Keyword [en]
Consensus-based distributed estimation, cooperative communication, dense cloud networks, industrial Internet of Things, industrial wireless sensor networks (IWSNs), interference detection, sensor-cloud networking
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-33339DOI: 10.1109/TIM.2016.2640579ISI: 000396397900003Scopus ID: 2-s2.0-85013004966OAI: oai:DiVA.org:miun-33339DiVA, id: diva2:1192300
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved

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Sisinni, Emiliano

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