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Unmanned Vehicles Aided Mobile Networks for Communication and Monitoring
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Unmanned Vehicles Aided Mobile Networks for Communication and Monitoring

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

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 33183

Special Issue Editor

Dr. Riadh DHAOU

E-Mail Website
Guest Editor
Institut National Polytechnique de Toulouse, Université Fédérale Toulouse Midi-Pyrénées, 31000 Toulouse, France
Interests: UAV

Special Issue Information

We are inviting submissions to a Special Issue of Sensors on the subject area of “Unmanned-Vehicle-Aided Mobile Networks for Communication and Monitoring”.

The use of aerial drones, also known as unmanned aerial vehicles (UAVs), and unmanned marine vehicles (UMVs) has proven to be very useful in rescue operations or in environmental monitoring and more particularly in ensuring population surveillance during the management of the COVID-19 pandemic. Drones can be used for communication, monitoring, and delivery. Autonomous drone swarms help in monitoring and connecting mobile unconnected objects as well as in earth or extra-earth exploration. The integration of unmanned vehicles with terrestrial and space networks has been standardized and is the focus of ongoing experiments.

Research in this domain has revealed several critical issues, such as autonomous deployment, navigation, and control, energy management, and seamless services. Advanced methods should be designed for reliable and efficient functioning of the network of unmanned vehicles.

This Special Issue is focused on new developments in the field of placement, smart network control, and navigation of unmanned vehicles from theoretical to experimental studies. 

Potential topics include but are not limited to the following: 

  • Efficient and resilient deployment of aerial drones;
  • Control of unmanned vehicles aided networks;
  • UAV-aided mobile sensor networks;
  • Autonomous vehicles networks monitoring;
  • Energy-efficient UAV tracking of mobile targets;
  • Energy harvesting for networks composed of unmanned vehicles;
  • Traffic monitoring aided by unmanned vehicles;
  • Beyond 5G space–air–ground network control;
  • Coverage optimization and control in UAV surveillance;
  • Smart autonomous networks of vehicles;
  • Collision avoidance for unmanned vehicles;
  • Autonomous networks for deep space exploration;
  • Experimental platforms for UAV-aided mobile networks.

Dr. Riadh DHAOU
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.

Published Papers (2 papers)

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Research

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27 pages, 816 KiB  
Article
Power-Efficient Wireless Coverage Using Minimum Number of UAVs
by Ahmad Sawalmeh, Noor Shamsiah Othman, Guanxiong Liu, Abdallah Khreishah, Ali Alenezi and Abdulaziz Alanazi
Sensors 2022, 22(1), 223; https://0-doi-org.brum.beds.ac.uk/10.3390/s22010223 - 29 Dec 2021
Cited by 11 | Viewed by 1789
Abstract
Unmanned aerial vehicles (UAVs) can be deployed as backup aerial base stations due to cellular outage either during or post natural disaster. In this paper, an approach involving multi-UAV three-dimensional (3D) deployment with power-efficient planning was proposed with the objective of minimizing the [...] Read more.
Unmanned aerial vehicles (UAVs) can be deployed as backup aerial base stations due to cellular outage either during or post natural disaster. In this paper, an approach involving multi-UAV three-dimensional (3D) deployment with power-efficient planning was proposed with the objective of minimizing the number of UAVs used to provide wireless coverage to all outdoor and indoor users that minimizes the required UAV transmit power and satisfies users’ required data rate. More specifically, the proposed algorithm iteratively invoked a clustering algorithm and an efficient UAV 3D placement algorithm, which aimed for maximum wireless coverage using the minimum number of UAVs while minimizing the required UAV transmit power. Two scenarios where users are uniformly and non-uniformly distributed were considered. The proposed algorithm that employed a Particle Swarm Optimization (PSO)-based clustering algorithm resulted in a lower number of UAVs needed to serve all users compared with that when a K-means clustering algorithm was employed. Furthermore, the proposed algorithm that iteratively invoked a PSO-based clustering algorithm and PSO-based efficient UAV 3D placement algorithms reduced the execution time by a factor of ≈1/17 and ≈1/79, respectively, compared to that when the Genetic Algorithm (GA)-based and Artificial Bees Colony (ABC)-based efficient UAV 3D placement algorithms were employed. For the uniform distribution scenario, it was observed that the proposed algorithm required six UAVs to ensure 100% user coverage, whilst the benchmarker algorithm that utilized Circle Packing Theory (CPT) required five UAVs but at the expense of 67% of coverage density. Full article
(This article belongs to the Special Issue Unmanned Vehicles Aided Mobile Networks for Communication and Monitoring)
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Review

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60 pages, 2024 KiB  
Review
Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain
by Anushka Biswas and Hwang-Cheng Wang
Sensors 2023, 23(4), 1963; https://0-doi-org.brum.beds.ac.uk/10.3390/s23041963 - 09 Feb 2023
Cited by 27 | Viewed by 30454
Abstract
The wave of modernization around us has put the automotive industry on the brink of a paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily transitioning towards automated driving to constitute an integral part of the intelligent transportation system (ITS). The term autonomous [...] Read more.
The wave of modernization around us has put the automotive industry on the brink of a paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily transitioning towards automated driving to constitute an integral part of the intelligent transportation system (ITS). The term autonomous vehicle has become ubiquitous in our lives, owing to the extensive research and development that frequently make headlines. Nonetheless, the flourishing of AVs hinges on many factors due to the extremely stringent demands for safety, security, and reliability. Cutting-edge technologies play critical roles in tackling complicated issues. Assimilating trailblazing technologies such as the Internet of Things (IoT), edge intelligence (EI), 5G, and Blockchain into the AV architecture will unlock the potential of an efficient and sustainable transportation system. This paper provides a comprehensive review of the state-of-the-art in the literature on the impact and implementation of the aforementioned technologies into AV architectures, along with the challenges faced by each of them. We also provide insights into the technological offshoots concerning their seamless integration to fulfill the requirements of AVs. Finally, the paper sheds light on future research directions and opportunities that will spur further developments. Exploring the integration of key enabling technologies in a single work will serve as a valuable reference for the community interested in the relevant issues surrounding AV research. Full article
(This article belongs to the Special Issue Unmanned Vehicles Aided Mobile Networks for Communication and Monitoring)
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