Industrial Internet of Things: Challenges, Opportunities, and Directions

By E. Sisinni, Abusayeed Saifullah, Song Han, Ulf Jennehag, M. Gidlund. IEEE Transactions on Industrial Informatics, 2018

1,870 citations recorded by the source corpus.

Internet of Things (IoT) is an emerging domain that promises ubiquitous connection to the Internet, turning common objects into connected devices. The IoT paradigm is changing the way people interact with things around them. It paves the way for creating pervasively connected infrastructures to support innovative services and promises better flexibility and efficiency. Such advantages are attractive not only for consumer applications, but also for the industrial domain. Over the last few years, we have been witnessing the IoT paradigm making its way into the industry marketplace with purposely designed solutions. In this paper, we clarify the concepts of IoT, Industrial IoT, and Industry 4.0. We highlight the opportunities brought in by this paradigm shift as well as the challenges for its realization. In particular, we focus on the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy. We also provide a systematic overview of the state-of-the-art research efforts and potential research directions to solve Industrial IoT challenges.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/2c311060ccd61c7d0f2ad19054c729986964ec1d

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Citations in the corpus

Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk (2019, background): “and improve the performance across all markets [12]–[16].”
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications (2021, background): “processing and exchanging generated data, as well as optimizing the production system [307].”
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, background): “The system frameworks of different IoT application scenarios generally need to be built from scratch, and the deployment scale of sensors is relatively small with low precision requirements [2].”
Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture (2021, background): “The latest technologies and tools enhance agricultural operations during the crop growth stages, such as crop harvesting, the transportation of cropping materials, and storage conditions [10].”
Internet of Things and Big Data as enablers for business digitalization strategies (2020, background): “…and companies (Perera et al., 2015): for the former, by supporting their consumption choices and use of products and services; for the latter, by regulating and monitoring industrial systems in an integrated framework also known as Industrial IoT (IIoT) (Boyes et al., 2018; Sisinni et al., 2018).”
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems (2020, background): “In order to identify cyber threats against IoT/IIoT services, it is vital that cyber-security applications such as intrusion detection systems (IDS) be developed, specifically designed for IoT and IIoT applications to meet their special requirements [2], [6], [7].”
Industrial Communication Systems and Their Future Challenges: Next-Generation Ethernet, IIoT, and 5G (2019, background): “While the IoT is concerned with “things” of any type, the IIoT restricts the “things” to the industrial scenario [152]–[154].”
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT (2020, background): “Along with the value the data brings, comes serious concerns about data privacy [1].”
A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities (2020, background): “Within the context provided by IoT and IIoT applications, this brings some extra challenges [15], [17], [49].”