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Sensors and Sensing Innovation Technologies for Green Communications and Engineering

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

Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 2100

Special Issue Editors


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Guest Editor
Department of Telecommunications, University of Ruse, 7017 Ruse, Bulgaria
Interests: digital communications; communication theory; signal processing; channel modeling; artificial intelligence; wireless communications; mobile networks; GNSS
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Power Engineering, University of Ruse, 7004 Ruse, Bulgaria
Interests: renewable energy sources; electromagnetic compatibility; electrotechnical safety; smart grid; electric power transmission
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, device-to-device, vehicle-to-vehicle and machine-to-machine communications rely heavily on wireless communications. The 5G networks and future 6G mobile wireless networks use universal infrastructure, open network architectures, software-defined networks, virtualization of network functions, edge computing with multiple accesses, vehicular network, etc. Such massive demands can inevitably cause environmental problems on a global scale, making energy consumption a key issue. Hence, there is a strong need to shift to green communications. There are trends for reduced energy consumption, improvement of energy security, and accelerated transition to the so-called green energy and green economy.

This Special Issue aims to pave the way for new research toward green communication, and wireless and mobile communication technologies, based on contributions from machine learning, mobile edge computing, blockchain, and other fields of green technologies for sustainable engineering. High-quality papers selected from the CIEES 2023 (http://ciees.eu/) and EEPES 2024 (http://eepes.eu/) conferences will be invited to submit to this Special Issue for publication. However, this Special Issue also welcomes submissions from general researchers that fit within the scope of the SI as shown below. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Sensor system networks;
  • Wireless and wireline communications;
  • Beyond 5G and 6G access and core networks;
  • Blockchain services and applications;
  • Artificial intelligence and intelligent systems;
  • Sensor system integration in smart cities and smart homes;
  • Renewable energy sources;
  • Intelligent sensing and energy engineering technologies;
  • Green energy environment.

Dr. Teodor B Iliev
Dr. Ivaylo Stoyanov
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

  • green wireless networks
  • 5G and 6G networks
  • artificial intelligence
  • edge computing
  • sensor system networks
  • energy engineering technologies

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Published Papers (1 paper)

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Research

24 pages, 4171 KiB  
Article
B-SAFE: Blockchain-Enabled Security Architecture for Connected Vehicle Fog Environment
by Priyanka Gaba, Ram Shringar Raw, Omprakash Kaiwartya and Mohammad Aljaidi
Sensors 2024, 24(5), 1515; https://doi.org/10.3390/s24051515 - 26 Feb 2024
Cited by 12 | Viewed by 1430
Abstract
Vehicles are no longer stand-alone mechanical entities due to the advancements in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication-centric Internet of Connected Vehicles (IoV) frameworks. However, the advancement in connected vehicles leads to another serious security threat, online vehicle hijacking, where the steering control [...] Read more.
Vehicles are no longer stand-alone mechanical entities due to the advancements in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication-centric Internet of Connected Vehicles (IoV) frameworks. However, the advancement in connected vehicles leads to another serious security threat, online vehicle hijacking, where the steering control of vehicles can be hacked online. The feasibility of traditional security solutions in IoV environments is very limited, considering the intermittent network connectivity to cloud servers and vehicle-centric computing capability constraints. In this context, this paper presents a Blockchain-enabled Security Architecture for a connected vehicular Fog networking Environment (B-SAFE). Firstly, blockchain security and vehicular fog networking are introduced as preliminaries of the framework. Secondly, a three-layer architecture of B-SAFE is presented, focusing on vehicular communication, blockchain at fog nodes, and the cloud as trust and reward management for vehicles. Thirdly, details of the blockchain implementation at fog nodes is presented, along with a flowchart and algorithm. The performance of the evaluation of the proposed framework B-SAFE attests to the benefits in terms of trust, reward points, and threshold calculation. Full article
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