Smart Sensors for Unmanned Aerial Vehicles (UAVs)

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 2678

Special Issue Editors


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Guest Editor
Department of Computer Systems and Telematics, Engineering School University of Extremadura, 06006 Badajoz, Spain
Interests: computer sciende; software engineering; drones; e-nose

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Guest Editor
Department of Electrical Engineering, Electronic and Automation at the Industrial Engineering School University of Extremadura, 06006 Badajoz, Spain
Interests: chemical sensors; machine learning; IoT; UAVs

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Guest Editor
Laboratoire d’Informatique et de Mathématiques, Université Amar Telidji de Laghouat, Laghouat 03000, Algeria
Interests: network security and trust management; cyber-physical systems; Blockchain technology; unmanned aerial vehicles; named data networking
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Special Issue Information

Dear Colleagues,

The rapid development of sensor technology in the last few years has led to a new generation of smart sensors that combines a sensing device with processing functionalities and communication capacities. The integration of this new type of sensors in the field of Unmanned Aerial Vehicles (UAVs) has encouraged researchers to focus their works on this field with great results. Embedded systems, remote sensing, software engineering, artificial intelligent, edge computing, or even communication technologies are some of the research areas involved. The integration of smart sensors offers new opportunities for UAV applications such as pollution detection, agriculture, forestry, photography, surveillance, disaster monitoring, etc.

To promote smart sensors and UAV research, the aim of this Special Issue is to review theoretical and experimental works dealing with the application of smart sensors on UAV-based systems. The scope of this Special Issue includes, but is not limited to, smart sensors integrated into UAV platforms, sensors for remote sensing, artificial intelligence applied to UAVs, data processing for UAV and sensor information, applications for smart sensors, and UAV systems.

Contributions may focus on, but are not limited to:

  • UAV remote sensing;
  • Smart sensor technology;
  • UAV Intelligent sensing;
  • Onboard embedded systems;
  • Sensor data processing;
  • Edge/fog computing in UAV contexts;
  • UAV design;
  • UAV and multi-UAV applications based smart sensors;
  • MEC-based UAV applications;
  • Dynamic UAV missions based on smart sensing;
  • Software engineering for UAV applications;
  • Privacy, security, and trust for UAVs;
  • Human–UAV interaction based on smart sensors;
  • Resources allocation, offloading, and tasks scheduling in UAV context;
  • Novel trends to extend UAV remote sensing.

Authors are invited to submit their work including original research, articles, case studies, or surveys on the subject.

Prof. Dr. José Luis Herrero Agustín
Prof. Dr. Carlos Tavares Calafate
Prof. Dr. Jesús Salvador Lozano Rogado
Prof. Dr. Chaker Abdelaziz Kerrache
Guest Editors

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Keywords

  • unmanned aerial vehicles
  • smart sensors
  • remote sensing
  • software engineering

Published Papers (1 paper)

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11 pages, 4162 KiB  
Article
Integrating LoRa-Based Communications into Unmanned Aerial Vehicles for Data Acquisition from Terrestrial Beacons
by Patricia Arroyo, José Luis Herrero, Jesús Lozano and Pablo Montero
Electronics 2022, 11(12), 1865; https://doi.org/10.3390/electronics11121865 - 13 Jun 2022
Cited by 4 | Viewed by 1961
Abstract
The Internet of Things (IoT) is a paradigm that has rapidly evolved in recent years. The ability to connect many devices is driving the development of new types of applications that allow the remote monitoring of a wide variety of devices. One of [...] Read more.
The Internet of Things (IoT) is a paradigm that has rapidly evolved in recent years. The ability to connect many devices is driving the development of new types of applications that allow the remote monitoring of a wide variety of devices. One of the great challenges that has been identified in this field is the monitoring of sensors scattered in wide areas or located in environments with poor or even no communications coverage. To deal with this problem, different approaches based on cellular or satellite communications have been considered. However, these alternatives are complex and very expensive. To overcome these drawbacks, we designed a system based on unmanned aerial vehicles and LoRa technology that enables data transfer from sensors to a central system. Furthermore, machine learning techniques were applied to process and classify the data retrieved from the sensors. Finally, a Java-based application was developed, providing services such as data storage, processing, and visualization. To verify the correct operation of the proposed system, manual and autonomous flight tests were carried out, verifying the correct transmission of the data from the sensors to the central system. Full article
(This article belongs to the Special Issue Smart Sensors for Unmanned Aerial Vehicles (UAVs))
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