Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Sensor Networks for the Resilient Industrial Internet of Things
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Sensor Networks for the Resilient Industrial Internet of Things

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

Deadline for manuscript submissions: closed (30 July 2023) | Viewed by 2045

Special Issue Editors

Prof. Dr. Paolo Ferrari

E-Mail Website
Guest Editor
UNIBS-DIE, Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Interests: sensor network; distributed measurement systems; industrial communication; real-time ethernet; clock synchronization; industrial IoT; industrial security; wireless sensors; smart city
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ivanovitch Silva

E-Mail Website
Guest Editor
Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
Interests: big data; Industry 4.0; intelligent vehicles; data modeling and analysis; wireless sensors; smart city
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Dennis Brandão

E-Mail Website
Guest Editor
Dep. of Electrical and Computing Engineering, São Carlos, University of São Paulo
Interests: industrial sensor network; industrial communication; real-time ethernet; process automation; industrial automation; smart factory; intelligent diagnostic systems; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the evolution of Industry 4.0 toward the resilient and human centric view of Industry 5.0, the importance of industrial sensor networks increased even more. Significant savings and redundant parallel information paths can be achieved by means of continuously connected devices and machines. However, the Industrial Internet of Things, where sensors and instruments are placed on a wide area or mobile systems, remains hugely challenging.

In such cases, wireless or other innovative technology is often mandatory, because of intrinsic incompatibilities (the mobile device cannot use wires) or high cost of wired infrastructure to cover large (geographical) areas. In recent years, the 5G revolution and the advent of specialized wireless protocols for low-power wide area networks have boosted Internet-connected devices’ diffusion also in industry. The combination of new technologies has a very positive impact on sensor networks for “production” and “monitoring of product” in the era of the Industrial Internet of Things.

This Special Session is focused on solutions for scenarios or situations where sensor networks are deployed in industrial areas.

Submissions are welcomed on (but not limited to):

  • Industrial sensors and IoT;
  • Virtual sensors, soft sensors, sensor interfacing with Industrial IoT;
  • Wearables and body sensor networks for workers;
  • Sensors for continued tracking of product data after sale (digital twin);
  • Wireless sensor networks for the Industrial Internet of Things;
  • Short-range wireless networks for the Industrial Internet of Things;
  • Bluetooth LE applications to the Industrial Internet of Things;
  • 5G/4G applications to the Industrial Internet of Things;
  • LPWAN systems for the Industrial Internet of Things;
  • Connected industrial vehicles equipped with sensors systems;
  • Distributed mobile IoT sensor systems;
  • Wireless sensor localization in industrial IoT applications;
  • Sensor-based measurement systems for the Industrial Internet of Things;
  • Large scale deployment of sensors (e.g., environment monitoring, fire detection) in the industrial context;
  • Cloud architectures to manage scalable sensor systems and sensing data platform for massive deployment in an industrial scenario;
  • Security of sensor network in the Industrial Internet of Things;
  • Applications of IoT sensors and systems to large industrial plants.

Prof. Dr. Paolo Ferrari
Prof. Dr. Ivanovitch Silva
Prof. Dr. Dennis Brandão
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 submissions that pass pre-check are 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 semimonthly 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 2600 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.

Prof. Dr. Dennis Brandão
Prof. Dr. Paolo Ferrari
Prof. Dr. Ivanovitch Silva
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 submissions that pass pre-check are 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 semimonthly 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 2600 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)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 2578 KiB  
Article
Assessing a Methodology for Evaluating the Latency of IPv6 with SCHC Compression in LoRaWAN Deployments
by Emiliano Sisinni, Dhiego Fernandes Carvalho, Alessandro Depari, Paolo Bellagente, Alessandra Flammini, Marco Pasetti, Stefano Rinaldi and Paolo Ferrari
Sensors 2023, 23(5), 2407; https://doi.org/10.3390/s23052407 - 22 Feb 2023
Cited by 3 | Viewed by 1775
Abstract
The Internet of Things (IoT) approach relies on the use of the Internet Protocol (IP) as a pervasive network protocol. IP acts as a “glue” for interconnecting end devices (on the field side) and end users, leveraging on very diverse lower-level and upper-level [...] Read more.
The Internet of Things (IoT) approach relies on the use of the Internet Protocol (IP) as a pervasive network protocol. IP acts as a “glue” for interconnecting end devices (on the field side) and end users, leveraging on very diverse lower-level and upper-level protocols. The need for scalability would suggest the adoption of IPv6, but the large overhead and payloads do not match with the constraints dictated by common wireless solutions. For this reason, compression strategies have been proposed to avoid redundant information in the IPv6 header and to provide fragmentation and reassembly of long messages. For example, the Static Context Header Compression (SCHC) protocol has been recently referenced by the LoRa Alliance as a standard IPv6 compression scheme for LoRaWAN-based applications. In this way, IoT end points can seamlessly share an end-to-end IP link. However, implementation details are out of the specifications’ scope. For this reason, formal test procedures for comparing solutions from different providers are important. In this paper, a test method for assessing architectural delays of real-world deployments of SCHC-over-LoRaWAN implementations is presented. The original proposal includes a mapping phase, for identifying information flows, and a subsequent evaluation phase, in which flows are timestamped and time-related metrics are computed. The proposed strategy has been tested in different use cases involving LoRaWAN backends deployed all around the world. The feasibility of the proposed approach has been tested by measuring the end-to-end latency of IPv6 data in sample use cases, obtaining a delay of less than 1 s. However, the main result is the demonstration that the suggested methodology permits a comparison of the behavior of IPv6 with SCHC-over-LoRaWAN, allowing the optimization of choices and parameters during deployment and commissioning of both infrastructure components and software. Full article
(This article belongs to the Special Issue Sensor Networks for the Resilient Industrial Internet of Things)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop