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Special Issue "Sensor Networks and Systems to Enable Industry 4.0 Environments"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 May 2018

Special Issue Editor

Guest Editor
Prof. Dr. Francisco Javier Falcone Lanas

Associate Professor, Department of Electrical Engineering, Universidad Publica de Navarra, UPNA, Spain
Website1 | Website2 | E-Mail
Interests: wireless networks; performance evaluation; distributed systems; context aware environments; IoT; next generation wireless systems

Special Issue Information

Dear Colleagues,

The growth in number and application areas of connected devices is leading towards truly interactive environments, foreseen in the paradigm of the Internet of Things, providing the means to increase functionality and interrelation between multiple systems, such as Intelligent Transportation Systems, Smart Grids or Smart Health, among others. These capabilities can also be extended into production, manufacturing, logistic and maintenance areas, in which communication capabilities combined with data analysis and advances in Cyber Physical Systems provide the grounds for the advent of Industry 4.0 environments.

In this context, multi-disciplinary approaches can be followed in order to provide the required context-awareness, adaptability, robustness and resilience, compulsory in the implementation of next generation industrial scenarios. In this sense, multiple challenges must be handled, such as distributed real time operation and communication capabilities, predictive device/system operation, interoperability, security and energy efficiency.

This Special Issue aims to highlight advances in the development, testing, and modeling of Sensor Networks and Systems as enablers of Industry 4.0, within the realm of potential applications of such systems. Topics include, but are not limited to:

  • Industry 4.0 Testbeds
  • Wireless Sensor Network and device design following Industry 4.0 requirements
  • Integration of Industry 4.0 with cloud processing capabilities
  • Simulation and modelling of Industry 4.0 enabled processes
  • Use cases of Cyber Physical Systems enabled for Industry 4.0 applications via WSN integration
Prof. Dr. Francisco Javier Falcone Lanas
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora
Sensors 2018, 18(1), 16; doi:10.3390/s18010016
Received: 24 November 2017 / Revised: 16 December 2017 / Accepted: 18 December 2017 / Published: 22 December 2017
PDF Full-text (5335 KB) | HTML Full-text | XML Full-text
Abstract
In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in
[...] Read more.
In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in which new corpora are generated whilst reducing the number of repetitive and error prone tasks related with existing corpus maintenance. For this goal, WARCProcessor supports up to six commonly used data sources for web spam research, being able to store output corpus in standard WARC format together with complementary metadata files. Additionally, the application facilitates the automatic and concurrent download of web sites from Internet, giving the possibility of configuring the deep of the links to be followed as well as the behaviour when redirected URLs appear. WARCProcessor supports both an interactive GUI interface and a command line utility for being executed in background. Full article
(This article belongs to the Special Issue Sensor Networks and Systems to Enable Industry 4.0 Environments)
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