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IoT
Special Issues
Unmanned Aerial Vehicles (UAV) and IoT
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Unmanned Aerial Vehicles (UAV) and IoT

A special issue of IoT (ISSN 2624-831X).

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 9234

Special Issue Editors

Dr. Enrique Moguel

E-Mail Website
Guest Editor
Department of Computer and Telematic System Engineering, University of Extremadura, Av. De la Universidad s/n., 10003 Cáceres, Spain
Interests: software engineering; quantum computing; smart systems; UAVs
Special Issues, Collections and Topics in MDPI journals
Dr. Jaime Galán-Jiménez

E-Mail Website
Guest Editor
Department of Computer and Telematic Systems Engineering, School of Technology, University of Extremadura, Avda. de la Universidad s/n, 10003 Cáceres, Spain
Interests: software-defined networking; unmanned aerial vehicles; 5G; edge–fog computing; network function virtualization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The possibilities of the Internet of Things (IoT) cover a large number of fields: from mobility to urban planning, from Industry 4.0 to the connected home. As such, the deployment of IoT promises to expand the possibilities of multiple areas of activity.

On the other hand, the fast development of the Unmanned Aerial Vehicles (UAV) industry and the reduction in the cost of these devices has derived in their adoption on a wide variety of fields, such as agriculture, surveillance, aerial photography, fire detection, etc.

This Special Issue is aimed at the two interrelated communities of IoT and Drones. We are interested in articles that focus on all aspects of the application of UAVs making use of IoT technologies. These include but are not limited to:

  • IoT sensors for UAVs;
  • Navigation technology;
  • UAV path-planning and trajectory optimization for energy efficiency;
  • Architectures, protocols, frameworks and applications of IoT for UAVs;
  • Security and privacy for IoT in UAVs;
  • Swarms of drones that offer efficiency and robustness in performing complex tasks;
  • Battery and energy management in UAV-based networks;
  • Energy-aware SDN for UAV networks;
  • Other topics—recognition of objects, path planning, collision avoidance, communication technique, robustness against disturbances, applying machine learning, etc.

We look forward to receiving your contributions and getting a Special Issue that represents the growing community of scientists involved in IoT using unmanned aerial systems.

Dr. Enrique Moguel
Dr. Jaime Galán-Jiménez
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. IoT is an international peer-reviewed open access quarterly 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 1200 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

  • IoT
  • Sensors and actuators
  • Remote sensing
  • Unmanned Aircraft System(s) (UAS)
  • Unmanned Aerial Vehicle(s) (UAV)
  • Drones
  • Energy efficiency
  • Smart cities
  • Trajectory optimization
  • Emerging technologies

Published Papers (2 papers)

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Research

15 pages, 8650 KiB  
Article
An Application of IoT in a Drone Inspection Service for Environmental Control
by Muriel Cabianca, Maria Laura Clemente, Gianluca Gatto, Carlo Impagliazzo, Lidia Leoni, Martino Masia and Riccardo Piras
IoT 2022, 3(3), 366-380; https://doi.org/10.3390/iot3030020 - 30 Aug 2022
Cited by 1 | Viewed by 4373
Abstract
This paper presents an exploratory activity with a drone inspection service for environmental control. The aim of the service is to provide technical support to decision-makers in environmental risk management. The proposed service uses IoT for the interaction between a mobile application, a [...] Read more.
This paper presents an exploratory activity with a drone inspection service for environmental control. The aim of the service is to provide technical support to decision-makers in environmental risk management. The proposed service uses IoT for the interaction between a mobile application, a Smart City platform, and an Unmanned Aircraft System (UAS). The mobile application allows the users to report risky situations, such as fire ignition, spills of pollutants in water, or illegal dumping; the user has only to specify the class of the event, while the geographical coordinates are automatically taken from device-integrated GPS. The message sent from the mobile application arrives to a Smart City platform, which shows all the received alerts on a 3D satellite map, to support decision-makers in choosing where a drone inspection is required. From the Smart City platform, the message is sent to the drone service operator; a CSV file defining the itinerary of the drone is automatically built and shown through the platform; the drone starts the mission providing a video, which is used by the decision-makers to understand whether the situation calls for immediate action. An experimental activity in an open field was carried out to validate the whole chain, from the alert to the drone mission, enriched by a Smart City platform to enable a decision-maker to better manage the situation. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAV) and IoT)
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22 pages, 2774 KiB  
Article
Trajectory Planing for Cooperating Unmanned Aerial Vehicles in the IoT
by Emmanuel Tuyishimire, Antoine Bagula, Slim Rekhis and Noureddine Boudriga
IoT 2022, 3(1), 147-168; https://doi.org/10.3390/iot3010010 - 24 Feb 2022
Cited by 8 | Viewed by 3585
Abstract
The use of Unmanned Aerial Vehicles (UAVs) in data transport has attracted a lot of attention and applications, as a modern traffic engineering technique used in data sensing, transport, and delivery to where infrastructure is available for its interpretation. Due to UAVs’ constraints [...] Read more.
The use of Unmanned Aerial Vehicles (UAVs) in data transport has attracted a lot of attention and applications, as a modern traffic engineering technique used in data sensing, transport, and delivery to where infrastructure is available for its interpretation. Due to UAVs’ constraints such as limited power lifetime, it has been necessary to assist them with ground sensors to gather local data, which has to be transferred to UAVs upon visiting the sensors. The management of such ground sensor communication together with a team of flying UAVs constitutes an interesting data muling problem, which still deserves to be addressed and investigated. This paper revisits the issue of traffic engineering in Internet-of-Things (IoT) settings, to assess the relevance of using UAVs for the persistent collection of sensor readings from the sensor nodes located in an environment and their delivery to base stations where further processing is performed. We propose a persistent path planning and UAV allocation model, where a team of heterogeneous UAVs coming from various base stations are used to collect data from ground sensors and deliver the collected information to their closest base stations. This problem is mathematically formalised as a real-time constrained optimisation model, and proven to be NP-hard. The paper proposes a heuristic solution to the problem and evaluates its relative efficiency through performing experiments on both artificial and real sensors networks, using various scenarios of UAVs settings. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAV) and IoT)
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