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Energy-Aware Networks for Industrial Internet of Things (IIoT)
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Energy-Aware Networks for Industrial Internet of Things (IIoT)

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

Deadline for manuscript submissions: closed (1 May 2022) | Viewed by 6485

Special Issue Editor

Dr. Laura Pierucci

E-Mail Website
Guest Editor
Department of Information Engineering, University of Florence, Florence, Italy
Interests: 5G/6G mobile communication; MIMO techniques; device-to-device communications; machine-to-machine communications; access protocols; multicast communication; radiofrequency interference; channel allocation; relay networks; wireless sensor networks; internet of things; low power wireless area networks; 6LowPAN; cooperative communication; physical layer security; energy consumption; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, the emerging class of IoT enabled industrial production systems, called the Industrial IoT (IIoT), paves the way for novel operational efficiency and economic benefits to revolutionize system installation and monitoring in industries such as manufacturing, logistics, oil and gas, aviation and others.  

However, the IIoT is still in the early stages and significant challenges need to be overcome for the IIoT to become a reality. Examples of such challenges include novel design of topological structures for large scale industrial IoT, time-critical applications and priority-critical data transmission, the heterogeneity and reliability of smart devices with different radio links such as Bluetooth, Wi-Fi, and 5G/6G, the high energy consumption of IIoT devices and the routing in real time for large industrial systems.

Designing energy-efficient deployment schemes is a way to overcome the challenges to

the application of IIoT and in this context three IIoT capabilities must be envisaged: 1) environmental sensing; 2) industrial analytics and monitoring; and 3) process automation and intelligent machine applications.

This Special Issue seeks innovative works on a wide range of research topics, spanning both theoretical and systems research, including results from industry and academic/industrial collaborations, related but not restricted to the following topics:

  • Design of novel energy efficiency schemes for IIoT large scale systems;
  • Clustering techniques;
  • Relay selection;
  • Protocol stacks for IIoT;
  • Routing in real time for large scale IIoT;
  • Edge-computing and Fog Computing for IIoT;
  • Software defined networking (SDN) for IIoT;
  • 5G/6G technologies for IIoT;
  • Security for IIoT;
  • Artificial Intelligence for IIoT.

Dr. Laura Pierucci
Guest Editor

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.

Keywords

  • Energy efficient (EE)
  • Real-time routing
  • Software-defined networking
  • Industrial Internet of things (IIoT)
  • 6G for IioT
  • Security for IIoT

Published Papers (3 papers)

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Research

15 pages, 3113 KiB  
Article
Toward the Web of Industrial Things: A Publish-Subscribe Oriented Architecture for Data and Power Management
by Claudio Bartoli, Michele Bonanni, Francesco Chiti, Laura Pierucci, Alessandro Cidronali, Giovanni Collodi and Stefano Maddio
Sensors 2022, 22(13), 4882; https://doi.org/10.3390/s22134882 - 28 Jun 2022
Cited by 2 | Viewed by 1170
Abstract
The foundation of an energy sustainable Web of Industrial Things (WoIT) is facing several open issues due to the constraints imposed by the involved devices, the technological heterogeneity and the complex interactions and, hence, communications patterns. Towards this goal, in this paper, a [...] Read more.
The foundation of an energy sustainable Web of Industrial Things (WoIT) is facing several open issues due to the constraints imposed by the involved devices, the technological heterogeneity and the complex interactions and, hence, communications patterns. Towards this goal, in this paper, a general framework inspired by the Publish-Subscribe principle have been proposed, in order to jointly optimize the service requirements and the network availability. In particular, in this paper we focus on a holistic design with the objective to manage power budget distribution, in order to support applications that extend the basic publish-and-subscribe scheme.The involved WoIT nodes functionalities, interfaces and hardware architectures have been designed, with a special focus on control protocols. The introduced integrated solution has been validated in scenarios minimising and possibly balancing the power consumption. The achieved results show an average improvement of 45% for the communications performance with the wireless power management. Full article
(This article belongs to the Special Issue Energy-Aware Networks for Industrial Internet of Things (IIoT))
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22 pages, 7214 KiB  
Article
Predictive Energy-Aware Routing Solution for Industrial IoT Evaluated on a WSN Hardware Platform
by Eusebiu Jecan, Catalin Pop, Ovidiu Ratiu and Emanuel Puschita
Sensors 2022, 22(6), 2107; https://doi.org/10.3390/s22062107 - 9 Mar 2022
Cited by 5 | Viewed by 1670
Abstract
In industrial wireless sensors networks (IWSNs), the sensor lifetime predictability is critical for ensuring continuous system availability, cost efficiency and suitability for safety applications. When deployed in a real-world dynamic and centralised network, the sensor lifetime is highly dependent on the network topology, [...] Read more.
In industrial wireless sensors networks (IWSNs), the sensor lifetime predictability is critical for ensuring continuous system availability, cost efficiency and suitability for safety applications. When deployed in a real-world dynamic and centralised network, the sensor lifetime is highly dependent on the network topology, deployment configuration and application requirements. (In the absence of an energy-aware mechanism, there is no guarantee for the sensor lifetime). This research defines a conceptual model for enhancing the energy predictability and efficiency of IWSNs. A particularization of this model is the predictive energy-aware routing (PEAR) solution that assures network lifetime predictability through energy-aware routing, energy balancing and profiling. The PEAR solution considers the requirements and constraints of the industrial ISA100.11a communication standard and the VR950 IIoT Gateway hardware platform. The results demonstrate the PEAR ability to ensure predictable energy consumption for one or multiple network clusters. The PEAR solution is capable of intracluster energy balancing, reducing the overconsumption 10.4 times after 210 routing changes as well as intercluster energy balancing, increasing the cluster lifetime 2.3 times on average and up to 3.2 times, while reducing the average consumption by 23.6%. The PEAR solution validates the feasibility and effectiveness of the energy-aware conceptual indicating its suitability within IWSNs having real world applications and requirements. Full article
(This article belongs to the Special Issue Energy-Aware Networks for Industrial Internet of Things (IIoT))
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36 pages, 2448 KiB  
Article
Performance Metric Analysis for a Jamming Detection Mechanism under Collaborative and Cooperative Schemes in Industrial Wireless Sensor Networks
by Alejandro Cortés-Leal, Carolina Del-Valle-Soto, Cesar Cardenas, Leonardo J. Valdivia and Jose Alberto Del Puerto-Flores
Sensors 2022, 22(1), 178; https://doi.org/10.3390/s22010178 - 28 Dec 2021
Cited by 12 | Viewed by 2789
Abstract
The emergence of Industry 4.0 technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), has prompted a reconsideration of methodologies for network security as well as reducing operation and maintenance costs, especially at the physical layer, where the energy [...] Read more.
The emergence of Industry 4.0 technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), has prompted a reconsideration of methodologies for network security as well as reducing operation and maintenance costs, especially at the physical layer, where the energy consumption plays an important role. This article demonstrates through simulations and experiments that, while the cooperative scheme is more efficient when a WSN is at normal operating conditions, the collaborative scheme offers more enhanced protection against the aggressiveness of jamming in the performance metrics, thus making it safer, reducing operation and maintenance costs and laying the foundations for jamming mitigation. This document additionally offers an algorithm to detect jamming in real time. Firstly, it examines the characteristics and damages caused by the type of aggressor. Secondly, it reflects on the natural immunity of the WSN (which depends on its node density and a cooperative or collaborative configuration). Finally, it considers the performance metrics, especially those that impact energy consumption during transmission. Full article
(This article belongs to the Special Issue Energy-Aware Networks for Industrial Internet of Things (IIoT))
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