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Internet of Things and Sensors Network in 5G Wireless Communications

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

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 11138

Special Issue Editors

Department of Information Engineering, Infrastructure and Sustainable Energy (DIIES), University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
Interests: 5G; D2D; MTC/M2M; Internet of Things
Special Issues, Collections and Topics in MDPI journals
DIIES Department, University Mediterranea of Reggio Calabria, 89100 Reggio Calabria, Italy
Interests: Radio resource management and QoS provisioning in wireless networks; multicast support in broadband wireless networks; Device-to-Device (D2D) and Machine Type Communications (MTC) over 5G cellular networks; RFID inclusion in the Internet of Things
Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy
Interests: Design; analysis and performance evaluation of Wireless and Mobile protocols and architectures; robotic wireless networks and Unmanned Aerial Systems (UAS); self-organizing wireless systems and Device-to-Device (D2D) communication; sensor networks and the Internet of Things (IoT); sensor data analytics and mining; context-aware and mobile computing

Special Issue Information

Dear Colleagues,

Fifth generation (5G) cellular systems will be hyper-connected networks mostly consisting of pervasive smart objects. Indeed, if human communications have been the reference target in previous generations of mobile networks, communications among smart objects will constitute the main traffic type in next-generation cellular networks. On the one hand, Internet of Things (IoT) will undoubtedly play a key role in 5G networks, wherein massive machine-type communications (mMTC) feature crucial and challenging use cases, as cellular connections among objects are expected to reach 4 billion by 2024. On the other hand, 5G can be considered the foundation for unlocking the full potential of IoT. Thanks to the highspeed connectivity, low delay, high coverage, and scalability, several novel use-cases will be enabled on heterogeneous fields, from healthcare to agriculture, intelligent transportation systems, education, industry, gaming, and so on. This vision of 5G-enabled smart ecosystem is supported by the fervent activities, conducted worldwide by academic, industrial, and standardization bodies, aimed at designing IoT-oriented 5G wireless systems. At the same time, the integration of IoT devices and platforms within the 5G paradigm poses several challenges that must be addressed before its deployment; the open research questions include aspects of energy management, security, and service provisioning, just to name of few. The purpose of this Special Issue is to provide a platform for the discussion of the major research challenges, latest developments, and recent advances on IoT and sensors network in the 5G ecosystem.

Potential topics include, but are not limited to, the following:

  • Experimental testbeds and measurements of 5G systems;
  • Energy management of 5G-enabled IoT systems and devices;
  • Resource allocation and scheduling algorithms in 5G-enabled IoT systems;
  • Communication algorithms, protocols, and architectures for 5G-enabled IoT systems;
  • SDN and NFV solutions for IoT and sensor networks in 5G scenarios;
  • Device and network virtualization in 5G-enabled IoT scenarios;
  • Integration of 5G and LP-WAN technologies;
  • Edge, fog, and cloud computing architectures for 5G-enabled IoT systems;
  • Security, privacy, and trust management in 5G-enabled IoT systems;
  • Integration of robotic systems and UAVs in 5G IoT scenarios;
  • Artificial intelligence and machine learning-based approaches in 5G IoT scenarios;
  • Novel IoT application and use-cases enabled by high-speed cellular networks.

Prof. Dr. Giuseppe Araniti
Dr. Sara Pizzi
Dr. Marco Di Felice
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.

Published Papers (3 papers)

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Research

17 pages, 542 KiB  
Article
Even Lower Latency in IIoT: Evaluation of QUIC in Industrial IoT Scenarios
Sensors 2021, 21(17), 5737; https://doi.org/10.3390/s21175737 - 26 Aug 2021
Cited by 9 | Viewed by 3530
Abstract
In this paper we analyze the performance of QUIC as a transport alternative for Internet of Things (IoT) services based on the Message Queuing Telemetry Protocol (MQTT). QUIC is a novel protocol promoted by Google, and was originally conceived to tackle the limitations [...] Read more.
In this paper we analyze the performance of QUIC as a transport alternative for Internet of Things (IoT) services based on the Message Queuing Telemetry Protocol (MQTT). QUIC is a novel protocol promoted by Google, and was originally conceived to tackle the limitations of the traditional Transmission Control Protocol (TCP), specifically aiming at the reduction of the latency caused by connection establishment. QUIC use in IoT environments is not widespread, and it is therefore interesting to characterize its performance when in over such scenarios. We used an emulation-based platform, where we integrated QUIC and MQTT (using GO-based implementations) and compared their combined performance with the that exhibited by the traditional TCP/TLS approach. We used Linux containers as end devices, and the ns-3 simulator to emulate different network technologies, such as WiFi, cellular, and satellite, and varying conditions. The results evince that QUIC is indeed an appropriate protocol to guarantee robust, secure, and low latency communications over IoT scenarios. Full article
(This article belongs to the Special Issue Internet of Things and Sensors Network in 5G Wireless Communications)
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21 pages, 916 KiB  
Article
Random-Access Accelerator (RAA): A Framework to Speed Up the Random-Access Procedure in 5G New Radio for IoT mMTC by Enabling Device-To-Device Communications
Sensors 2020, 20(19), 5485; https://doi.org/10.3390/s20195485 - 25 Sep 2020
Cited by 2 | Viewed by 2606
Abstract
Mobile networks have a great challenge by serving the expected billions of Internet of Things (IoT) devices in the upcoming years. Due to the limited simultaneous access in the mobile networks, the devices should compete between each other for resource allocation during a [...] Read more.
Mobile networks have a great challenge by serving the expected billions of Internet of Things (IoT) devices in the upcoming years. Due to the limited simultaneous access in the mobile networks, the devices should compete between each other for resource allocation during a Random-Access procedure. This contention provokes a non-depreciable delay during the device’s registration because of the great number of collisions experienced. To overcome such a problem, a framework called Random-Access Accelerator (RAA) is proposed in this work, in order to speed up network access in massive Machine Type Communication (mMTC). RAA exploits Device-To-Device (D2D) communications, where devices with already assigned resources act like relays for the rest of devices trying to gain access in the network. The simulation results show an acceleration in the registration procedure of 99%, and a freed space of the allocated spectrum until 74% in comparison with the conventional Random-Access procedure. Besides, it preserves the same device’s energy consumption compared with legacy networks by using a custom version of Bluetooth as a wireless technology for D2D communications. The proposed framework can be taken into account for the standardization of mMTC in Fifth-Generation-New Radio (5G NR). Full article
(This article belongs to the Special Issue Internet of Things and Sensors Network in 5G Wireless Communications)
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13 pages, 491 KiB  
Article
Efficient Power Control Framework for Small-Cell Heterogeneous Networks
Sensors 2020, 20(5), 1467; https://doi.org/10.3390/s20051467 - 07 Mar 2020
Cited by 18 | Viewed by 2982
Abstract
Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, [...] Read more.
Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption. Full article
(This article belongs to the Special Issue Internet of Things and Sensors Network in 5G Wireless Communications)
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