Special Issue "Smart Objects in the Internet of Things: From Sensor to Data Processing"

Special Issue Editors

Dr. Marco Picone
E-Mail Website
Guest Editor
Caligoo s.r.l and Department of Information Engineering Università degli Studi di Parma, Italy
Interests: distributed systems; Internet of things; edge computing; vehicular networks (Internet of vehicles); pervasive and mobile computing
Special Issues and Collections in MDPI journals
Dr. Marco Mamei
E-Mail Website
Guest Editor
Dipartimento di Scienze e Metodi dell'Ingegneria, Università di Modena e Reggio Emilia, Modena MO, Italy
Interests: pervasive computing; data analysis; mobility data; geospatial applications; Internet of things
Dr. Màrius Montón
E-Mail Website
Co-Guest Editor
Internet of Things Partners S.L., Barcelona, Spain
Interests: how to apply last research advances to IoT applications in the industry

Special Issue Information

Dear Colleagues,

The information technology ecosystem has been recently and significantly revolutionized by the advent of the Internet of things (IoT), and its quick and pervasive evolution. The IoT will consist of billions of interconnected devices denoted as “smart objects”, able to generate and consume a massive amount of heterogenous data. The massive amount of information being created by the IoT has the power to revolutionize everything from industry to healthcare, allowing them to work more efficiently and profitably. In this challenging context, data collection and data processing are two of the crucial pillars that will allow for extracting technological and business values from IoT applications and real deployments.

Furthermore, the mission of critical application will need real-time actionable intelligence and powerful user interfaces in order to make decisions and/or support decision makers in complex tasks. The seamless and efficient cooperation between data collection and processing, analytics, edge computing, and networking will be a fundamental enabler for the next generation of applications.

This Special Issue focuses on the innovative developments, technologies, and challenges related to Internet of things data generation, collection, modeling, and processing. The Special Issue is seeking the latest findings from research and ongoing projects. Additionally, review articles that provide readers with current research trends and solutions are also welcome. The potential topics include, but are not limited to, the following:

  • Data discovery in IoT applications
  • IoT data analytics
  • Machine learning for IoT
  • Integrating IoT data with external data sources
  • Data generation, collection, and synchronization technologies
  • Data processing for IoT
  • Data science applications and services
  • Data presentation and user interfaces (conversational interfaces, VR/AR)
  • IoT application orchestration and coordination
  • Distributed data management
  • IoT Real-time application
  • Real-time data processing for IoT
  • Edge computing and efficient data processing
  • Heterogeneity management
  • Data modeling and seamless interoperability
  • Application and data integration for IoT applications

Dr. Marco Picone
Dr. Marco Mamei
Dr. Màrius Montón
Guest Editors

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. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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 1000 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.

Keywords

  • Internet of things
  • edge computing
  • fog computing
  • data processing
  • big data
  • machine learning
  • analytics

Published Papers (1 paper)

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Research

Open AccessArticle
A Low-Cost Monitoring System and Operating Database for Quality Control in Small Food Processing Industry
J. Sens. Actuator Netw. 2019, 8(4), 52; https://doi.org/10.3390/jsan8040052 - 20 Oct 2019
Abstract
The use of completely automated systems for collecting sensor data with the aim of monitoring and controlling the quality of small-scale food processes is not widespread. Small and micro-enterprises usually do not carry out their own precompetitive research or prototype development as regards [...] Read more.
The use of completely automated systems for collecting sensor data with the aim of monitoring and controlling the quality of small-scale food processes is not widespread. Small and micro-enterprises usually do not carry out their own precompetitive research or prototype development as regards to automation technologies. This study proposes a web-based, low-cost monitoring and supervisory control and data acquisition (SCADA) system whose kernel is available for free, as a possible solution that could be adopted by these food producers. It is mainly based on open SW/HW so as its configuration is adaptable to the application and type of plant. It presents a modular architecture and its main functionalities encompass the acquisition, management, aggregation and visualization of process data, providing an operating database. It also provides food tracking and process quality control: The time series are browsable due to QR-Code generation and different early warning detection strategies are implemented. A tool for solving migration problems based on Fick’s equation is offered as a packaging decision support system. Full article
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