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Wireless Sensors and IoT Platform in Large-Scale Infrastructures

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

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 10745

Special Issue Editors


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Guest Editor
National Laboratory of Photonic Networks and Technologies, National Inter-University Consortium for Telecommunications (CNIT), 56124 Pisa, Italy
Interests: 5G mobile communication; real-time systems; connected vessel; e-freight; IoT-based monitoring; port community systems; terminal operating systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
National Inter-University Consortium for Telecommunications (CNIT), 56124 Pisa, Italy
Interests: information system; data management; real-time systems; blockchain; e-freight; IoT-based monitoring; port community systems

Special Issue Information

Dear Colleagues,

New wireless protocols and computing paradigms have allowed the Internet-Of-Things to assume a leading role in our society, feeding all services tailored to citizens and to the industry (e.g., Industry 4.0, eHealth, energy, and mobility and transportation).

IoT devices produce a huge amount of data that needs to be managed in large-scale and integrated infrastructures, featuring a continuous stream of information originating from embedded systems, going through digital platforms, and reaching final user applications.

In this Special Issue, we will publish original works in the (but not limiting to) following domains:

  • Large-scale infrastructures:
    • IoT-oriented cloud-shaped information systems
    • M2M communication platforms
    • IoT-oriented distributed ledger technologies, blockchain
    • End-to-end integration, machine learning/deep learning data aggregation
    • Fault-tolerance, dependability, and verification
    • Security and privacy in networked sensor applications and systems
    • Beyond existing communication technologies:
      • Mobile networks (e.g., 4G/NB-IoT, 5G/mMTC)
      • Narrowband communications (e.g., LoRA, Sigfox, visible light communications, etc.)
      • New communication protocols and paradigms
    • Data Models and Semantics
      • Data management and analytics, including quality, integrity, and trustworthiness
      • New format and semantics models
  • Wireless sensors for the physical observation of:
    • Climate (i.e., air, earth, and marine), weather, pollutants
    • Transport and mobility (e.g., traffic, C-ITS, railway signaling)
    • Detection of crowds (to enforce social distancing measures during the COVID-19 pandemic)

Dr. Paolo Pagano
Eng. Martina Troscia
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.

Keywords

  • 5G, mMTC
  • Distributed ledger technologies, blockchains
  • IoT
  • Machine-to-machine communication
  • Machine learning, deep learning, neural networks
  • Measurement
  • Robotics and autonomous vehicles (ground, underwater, aerial)
  • Sensors
  • Data integration and traceability
  • Data trust

Published Papers (4 papers)

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Research

20 pages, 879 KiB  
Article
Distributed Destination Search Routing for 5G and beyond Networks
by Abdullah Waqas, Nasir Saeed, Hasan Mahmood and Muhannad Almutiry
Sensors 2022, 22(2), 472; https://doi.org/10.3390/s22020472 - 08 Jan 2022
Cited by 1 | Viewed by 1286
Abstract
Fifth-generation and beyond networks target multiple distributed network application such as Internet of Things (IoT), connected robotics, and massive Machine Type Communication (mMTC). In the absence of a central management unit, the device need to search and establish a route towards the destination [...] Read more.
Fifth-generation and beyond networks target multiple distributed network application such as Internet of Things (IoT), connected robotics, and massive Machine Type Communication (mMTC). In the absence of a central management unit, the device need to search and establish a route towards the destination before initializing data transmission. In this paper, we proposes a destination search and routing method for distributed 5G and beyond networks. In the proposed method, the source node makes multiple attempts to search for a route towards the destination by expanding disk-like patterns originating from the source node. The source node increases the search area in each attempt, accommodating more nodes in the search process. As a result, the probability of finding the destination increases, which reduces energy consumption and time delay of routing. We propose three variants of routing for high, medium, and low-density network scenarios and analyze their performance for various network configurations. The results demonstrate that the performance of the proposed solution is better than previously proposed techniques in terms of time latency and reduced energy consumption, making it applicable for 5G and beyond networks. Full article
(This article belongs to the Special Issue Wireless Sensors and IoT Platform in Large-Scale Infrastructures)
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17 pages, 1546 KiB  
Article
Scalable OneM2M IoT Open-Source Platform Evaluated in an SDN Optical Network Controller Scenario
by Martina Troscia, Andrea Sgambelluri, Francesco Paolucci, Piero Castoldi, Paolo Pagano and Filippo Cugini
Sensors 2022, 22(2), 431; https://doi.org/10.3390/s22020431 - 07 Jan 2022
Cited by 3 | Viewed by 1839
Abstract
Software Defined Networking represents a mature technology for the control of optical networks, though all open controller implementations present in the literature still lack the adequate level of maturity and completeness to be considered for (pre)-production network deployments. This work aims at experimenting [...] Read more.
Software Defined Networking represents a mature technology for the control of optical networks, though all open controller implementations present in the literature still lack the adequate level of maturity and completeness to be considered for (pre)-production network deployments. This work aims at experimenting on, assessing and discussing the use of the OneM2M open-source platform in the context of optical networks. Network elements and devices are implemented as IoT devices, and the control application is built on top of an OneM2M-compliant server. The work concretely addresses the scalability and flexibility performances of the proposed solution, accounting for the expected growth of optical networks. The two experiment scenarios show promising results and confirm that the OneM2M platform can be adopted in such a context, paving the way to other researches and studies. Full article
(This article belongs to the Special Issue Wireless Sensors and IoT Platform in Large-Scale Infrastructures)
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16 pages, 3385 KiB  
Article
An ICT Prototyping Framework for the “Port of the Future”
by Davide Barasti, Martina Troscia, Domenico Lattuca, Alexandr Tardo, Igor Barsanti and Paolo Pagano
Sensors 2022, 22(1), 246; https://doi.org/10.3390/s22010246 - 30 Dec 2021
Cited by 9 | Viewed by 2620
Abstract
Seaports are genuine, intermodal hubs connecting seaways to inland transport links, such as roads and railways. Seaports are located at the focal point of institutional, industrial, and control activities in a jungle of interconnected information systems. System integration is setting considerable challenges when [...] Read more.
Seaports are genuine, intermodal hubs connecting seaways to inland transport links, such as roads and railways. Seaports are located at the focal point of institutional, industrial, and control activities in a jungle of interconnected information systems. System integration is setting considerable challenges when a group of independent providers are asked to implement complementary software functionalities. For this reason, seaports are the ideal playground where software is highly composite and tailored to a large variety of final users (from the so-called port communities). Although the target would be that of shaping the Port Authorities to be providers of (digital) innovation services, the state-of-the-art is still that of considering them as final users, or proxies of them. For this reason, we show how a canonical cloud, virtualizing a distributed architecture, can be structured to host different, possibly overlapped, tenants, slicing the information system at the infrastructure, platform, and software layers. Resources at the infrastructure and platform layers are shared so that a variety of independent applications can make use of the local calculus and access the data stored in a Data Lake. Such a cloud is adopted by the Port of Livorno as a rapid prototyping framework for the development and deployment of ICT innovation services. In order to demonstrate the versatility of this framework, three case studies relating to as many prototype ICT services (Navigation Safety, e-Freight, and Logistics) released within three industrial tenants are here presented and discussed. Full article
(This article belongs to the Special Issue Wireless Sensors and IoT Platform in Large-Scale Infrastructures)
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15 pages, 2839 KiB  
Article
MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications
by Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne and Francis wyffels
Sensors 2021, 21(13), 4615; https://doi.org/10.3390/s21134615 - 05 Jul 2021
Cited by 11 | Viewed by 4120
Abstract
Monitoring climate change, and its impacts on ecological, agricultural, and other societal systems, is often based on temperature data derived from official weather stations. Yet, these data do not capture most microclimates, influenced by soil, vegetation and topography, operating at spatial scales relevant [...] Read more.
Monitoring climate change, and its impacts on ecological, agricultural, and other societal systems, is often based on temperature data derived from official weather stations. Yet, these data do not capture most microclimates, influenced by soil, vegetation and topography, operating at spatial scales relevant to the majority of organisms on Earth. Detecting and attributing climate change impacts with confidence and certainty will only be possible by a better quantification of temperature changes in forests, croplands, mountains, shrublands, and other remote habitats. There is an urgent need for a novel, miniature and simple device filling the gap between low-cost devices with manual data download (no instantaneous data) and high-end, expensive weather stations with real-time data access. Here, we develop an integrative real-time monitoring system for microclimate measurements: MIRRA (Microclimate Instrument for Real-time Remote Applications) to tackle this problem. The goal of this platform is the design of a miniature and simple instrument for near instantaneous, long-term and remote measurements of microclimates. To that end, we optimised power consumption and transfer data using a cellular uplink. MIRRA is modular, enabling the use of different sensors (e.g., air and soil temperature, soil moisture and radiation) depending upon the application, and uses an innovative node system highly suitable for remote locations. Data from separate sensor modules are wirelessly sent to a gateway, thus avoiding the drawbacks of cables. With this sensor technology for the long-term, low-cost, real-time and remote sensing of microclimates, we lay the foundation and open a wide range of possibilities to map microclimates in different ecosystems, feeding a next generation of models. MIRRA is, however, not limited to microclimate monitoring thanks to its modular and wireless design. Within limits, it is suitable or any application requiring real-time data logging of power-efficient sensors over long periods of time. We compare the performance of this system to a reference system in real-world conditions in the field, indicating excellent correlation with data collected by established data loggers. This proof-of-concept forms an important foundation to creating the next version of MIRRA, fit for large scale deployment and possible commercialisation. In conclusion, we developed a novel wireless cost-effective sensor system for microclimates. Full article
(This article belongs to the Special Issue Wireless Sensors and IoT Platform in Large-Scale Infrastructures)
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