Research Directions and Modeling Guidelines for Industrial Internet of Things Applications

The Industrial Internet of Things (IIoT) paradigm has emerged as a transformative force, revolutionizing industrial processes by integrating advanced wireless technologies into traditional procedures to enhance their efficiency. The importance of this paradigm shift has produced a massive, yet heterogeneous, proliferation of scientific contributions. However, these works lack a standardized and cohesive characterization of the IIoT framework coming from different entities, like the 3rd Generation Partnership Project (3GPP) or the 5G Alliance for Connected Industries and Automation (5G-ACIA), resulting in divergent perspectives and potentially hindering interoperability. To bridge this gap, this article offers a characterization of (i) the main IIoT application domains, (ii) their respective requirements, (iii) the principal technological gaps existing in the current literature, and, most importantly, (iv) we propose a systematic approach for assessing and addressing the identified research challenges. Therefore, this article serves as a roadmap for future research endeavors, promoting a unified vision of the IIoT paradigm and fostering collaborative efforts to advance the field.

Authors

Institutions

Publication Details

Journal
IEEE Communications Standards Magazine
Published
2025-05-22
DOI
https://doi.org/10.1109/mcomstd.2025.3572534
Citations
8
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
11.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Directions and Modeling Guidelines for Industrial Internet of Things Applications

Gianluca Cena, Enrico Buracchini, Marco Chiani, Enrico Testi et al.
8 citations
IEEE Communications Standards Magazine
IoT and Edge/Fog Computing
11.90
article

Research Directions and Modeling Guidelines for Industrial Internet of Things Applications

Gianluca Cena, Enrico Buracchini, Marco Chiani, Enrico Testi, Giampaolo Cuozzo, Roberto Verdone, Salvatore Riolo, Luciano Miuccio, Daniela Panno, Luca De Nardis, Maria‐Gabriella Di Benedetto, Gianni Pasolini
article en
8 citations

Abstract

The Industrial Internet of Things (IIoT) paradigm has emerged as a transformative force, revolutionizing industrial processes by integrating advanced wireless technologies into traditional procedures to enhance their efficiency. The importance of this paradigm shift has produced a massive, yet heterogeneous, proliferation of scientific contributions. However, these works lack a standardized and cohesive characterization of the IIoT framework coming from different entities, like the 3rd Generation Partnership Project (3GPP) or the 5G Alliance for Connected Industries and Automation (5G-ACIA), resulting in divergent perspectives and potentially hindering interoperability. To bridge this gap, this article offers a characterization of (i) the main IIoT application domains, (ii) their respective requirements, (iii) the principal technological gaps existing in the current literature, and, most importantly, (iv) we propose a systematic approach for assessing and addressing the identified research challenges. Therefore, this article serves as a roadmap for future research endeavors, promoting a unified vision of the IIoT paradigm and fostering collaborative efforts to advance the field.

IEEE Communications Standards MagazineVol. 9(3)
Telecom Italia (Italy) (IT), University of Catania (IT), Laboratori Guglielmo Marconi (Italy) (IT), Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT), Institute of Electronics, Computer and Telecommunication Engineering (IT), Institute of Informatics and Telematics (IT), National Research Council (IT), Sapienza University of Rome (IT), University of Bologna (IT)
Politecnico di Torino, European Commission, Università di Catania, Università di Bologna, Consorzio Nazionale Interuniversitario per le Telecomunicazioni
Openalex Percentile: Top 2%
IoT and Edge/Fog Computing
11.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.