State-of-Art of Network Architectures and Protocols for Industrial IoT

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (27 May 2022) | Viewed by 9627

Special Issue Editor


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Guest Editor
fortiss GmbH, Research Institute of the Free State of Bavaria for Software-Intensive Systems, 80805 Munich, Germany
Interests: network architectures and protocols; IoT; mobility management; edge computing
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Special Issue Information

Dear Colleagues,

Internet services and networking architectures have steadily evolved to accommodate technological changes and the development of novel services in the Internet. With the expansion of the Internet of Things (IoT), there is now a complete entanglement of the Internet into different realms of our daily lives. The massive number of cyber-physical systems are increasing the information (data) exchanged over the Internet, bringing challenges that need to be addressed via better support of aspects such as security, mobility, and intelligence (behavior learning and anticipation).

While technology is evolving into a human-centric perspective, about 60% of the worldwide population still does not have Internet access. Worldwide Internet access will dramatically change via the support of smart satellite constellations.

To accommodate these new changes, by being able to support a massive number of interconnected cyber-physical systems over both large and long distances, and into new realms (such as space), there is the need to re-think networking architectures and protocols and to evaluate their capability of handling current challenges (mobility, security, privacy, critical application support, and automated massive onboarding of IoT devices). There is also the need to debate on future challenges, and to address requirements to assist in the future design of networking architectures and protocols.

This Special Issue focuses on the debate on aspects concerning networking architectures and protocols for a global IoT, applicable both to Industrial and consumer devices, as well as the challenges that may arise in future environments. The Special Issue envisions the following main aspects:

  • Architectural and evolutionary vision of IoT networking protocols and architectures, including the support of multi-party communication (decentralized communication), QoS, integrated security, mobility, and intelligence (context-awareness, behavior learning, and inference).
  • Architectural integration aspects, in particular solutions that address a better interaction between applications and infrastructure, e.g., derived from semantic technologies.
  • Edge networking aspects for IoT optimization, such as distribution/orchestration of networking functions to best support data processing and aggregation, mobility, resilience, and power saving.
  • Network performance measurements that assist in understanding the performance of the current available communication protocols in a variety of scenarios, including industrial IoT scenarios.
  • Design and evaluation of scenarios exploiting architectural, user-centric, and content-centric paradigms, e.g., information centric networking.
  • Design and evaluation of decentralized edge architectures, e.g., involving end-user devices (far edge) and near edge devices for industrial environments.
  • Deterministic wireless solutions and scenarios, e.g., application of wireless solutions in closed-loop industrial environments, as well as long-range communication scenarios.
  • Protocol interoperability discussion and evaluation, in particular solutions that can assist in the automated support of data interoperability.
  • Integration of AI on decentralized Edge environments, e.g., methods to optimize AI, decentralized AI approaches applicable both to the edge (including end-user devices) and cloud; and evaluation of AI solutions/ML models and their suitability to advanced scenarios, e.g., for massive mobile IoT support.

Dr. Rute C. Sofia
Guest Editor

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Keywords

  • network architectures
  • network protocols
  • IoT
  • AI
  • decentralized internet services

Published Papers (2 papers)

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Research

14 pages, 763 KiB  
Article
Artificial Intelligence Control Logic in Next-Generation Programmable Networks
by Mateusz Żotkiewicz, Wiktor Szałyga, Jaroslaw Domaszewicz, Andrzej Bąk, Zbigniew Kopertowski and Stanisław Kozdrowski
Appl. Sci. 2021, 11(19), 9163; https://0-doi-org.brum.beds.ac.uk/10.3390/app11199163 - 02 Oct 2021
Cited by 4 | Viewed by 1826
Abstract
The new generation of programmable networks allow mechanisms to be deployed for the efficient control of dynamic bandwidth allocation and ensure Quality of Service (QoS) in terms of Key Performance Indicators (KPIs) for delay or loss sensitive Internet of Things (IoT) services. To [...] Read more.
The new generation of programmable networks allow mechanisms to be deployed for the efficient control of dynamic bandwidth allocation and ensure Quality of Service (QoS) in terms of Key Performance Indicators (KPIs) for delay or loss sensitive Internet of Things (IoT) services. To achieve flexible, dynamic and automated network resource management in Software-Defined Networking (SDN), Artificial Intelligence (AI) algorithms can provide an effective solution. In the paper, we propose the solution for network resources allocation, where the AI algorithm is responsible for controlling intent-based routing in SDN. The paper focuses on the problem of optimal switching of intents between two designated paths using the Deep-Q-Learning approach based on an artificial neural network. The proposed algorithm is the main novelty of this paper. The Developed Networked Application Emulation System (NAPES) allows the AI solution to be tested with different patterns to evaluate the performance of the proposed solution. The AI algorithm was trained to maximize the total throughput in the network and effective network utilization. The results presented confirm the validity of applied AI approach to the problem of improving network performance in next-generation networks and the usefulness of the NAPES traffic generator for efficient economical and technical deployment in IoT networking systems evaluation. Full article
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30 pages, 1447 KiB  
Article
A Performance Analysis of Internet of Things Networking Protocols: Evaluating MQTT, CoAP, OPC UA
by Daniel Silva, Liliana I. Carvalho, José Soares and Rute C. Sofia
Appl. Sci. 2021, 11(11), 4879; https://0-doi-org.brum.beds.ac.uk/10.3390/app11114879 - 26 May 2021
Cited by 47 | Viewed by 6760
Abstract
IoT data exchange is supported today by different communication protocols and different protocolar frameworks, each of which with its own advantages and disadvantages, and often co-existing in a way that is mandated by vendor policies. Although different protocols are relevant in different domains, [...] Read more.
IoT data exchange is supported today by different communication protocols and different protocolar frameworks, each of which with its own advantages and disadvantages, and often co-existing in a way that is mandated by vendor policies. Although different protocols are relevant in different domains, there is not a protocol that provides better performance (jitter, latency, energy consumption) across different scenarios. The focus of this work is two-fold. First, to provide a comparison of the different available solutions in terms of protocolar features such as type of transport, type of communication pattern support, security aspects, including Named-data networking as relevant example of an Information-centric networking architecture. Secondly, the work focuses on evaluating three of the most popular protocols used both in Consumer as well as in Industrial IoT environments: MQTT, CoAP, and OPC UA. The experimentation has been carried out first on a local testbed for MQTT, COAP and OPC UA. Then, larger experiments have been carried out for MQTT and CoAP, based on the large-scale FIT-IoT testbed. Results show that CoAP is the protocol that achieves across all scenarios lowest time-to-completion, while OPC UA, albeit exhibiting less variability, resulted in higher time-to-completion in comparison to CoAP or MQTT. Full article
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