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Communication, Coordination and Sensing of Networked Drones
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Communication, Coordination and Sensing of Networked Drones

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

Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 6393

Special Issue Editors

Prof. Dr. Michel Barbeau

E-Mail Website
Guest Editor
School of Computer Science, Carleton University, Ottawa, ON K1S 5B6, Canada
Interests: computer networks; architecture and protocols; underwater communications and networks; flying drone networks; quantum networks; networked control systems
Prof. Dr. Joaquin Garcia-Alfaro

E-Mail Website
Guest Editor
Telecom SudParis, Institut Mines-Telecom & Institut Polytechnique de Paris, 91120 Palaiseau, France
Interests: cybersecurity problems; with an emphasis on the management of formal policies; analysis of vulnerabilities; enforcement of countermeasures
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Evangelos Kranakis

E-Mail Website
Guest Editor
School of Computer Science, Carleton University, Ottawa, ON K1S 5B6, Canada
Interests: algorithmics; distributed and computational biology; distributed and mobile agent computing; networks (ad hoc, communication, sensor, social); cryptographic and network security

Special Issue Information

Dear Colleagues,

Drone technology is a source of great enthusiasm in the scientific community. Their agility allows them to navigate and accomplish tasks in an incredible diversity of indoor and outdoor environments. In this Special Issue, we will focus on the collaborative work of networked drones. We are seeking original scientific contributions on drone communications, coordination, and sensing. 

Topics of interest include but are not limited to:

  • Applications of machine learning to drones;
  • Applications of networked drones;
  • Communication protocols and wireless technologies for networked drones;
  • Drone algorithms;
  • Drone sensor networks;
  • Indoor or outdoor drone localization;
  • Modeling and control of drone swarms;
  • Networked drones using 5G and 6G technologies;
  • Path planning;
  • Software-defined drone communications;
  • Topology control of networked drones;
  • Use of cloud computing for drones

Prof. Dr. Michel Barbeau
Prof. Dr. Joaquin Garcia-Alfaro
Prof. Dr. Evangelos Kranakis
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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16 pages, 1274 KiB  
Article
An Efficient and Conditional Privacy-Preserving Heterogeneous Signcryption Scheme for the Internet of Drones
by Muhammad Asghar Khan, Insaf Ullah, Ako Muhammad Abdullah, Syed Agha Hassnain Mohsan and Fazal Noor
Sensors 2023, 23(3), 1063; https://0-doi-org.brum.beds.ac.uk/10.3390/s23031063 - 17 Jan 2023
Cited by 4 | Viewed by 1336
Abstract
The Internet of Drones (IoD) is a network for drones that utilizes the existing Internet of Things (IoT) infrastructure to facilitate mission fulfilment through real-time data transfer and navigation services. IoD deployments, on the other hand, are often conducted in public wireless settings, [...] Read more.
The Internet of Drones (IoD) is a network for drones that utilizes the existing Internet of Things (IoT) infrastructure to facilitate mission fulfilment through real-time data transfer and navigation services. IoD deployments, on the other hand, are often conducted in public wireless settings, which raises serious security and privacy concerns. A key source of these security and privacy concerns is the fact that drones often connect with one another through an unprotected wireless channel. Second, limits on the central processing unit (CPU), sensor, storage, and battery capacity make the execution of complicated cryptographic methods onboard a drone impossible. Signcryption is a promising method for overcoming these computational and security limitations. Additionally, in an IoD setting, drones and the ground station (GS) may employ various cryptosystems in a particular region. In this article, we offer a heterogeneous signcryption scheme with a conditional privacy-preservation option. In the proposed scheme, identity-based cryptography (IBC) was used by drones, while the public key infrastructure (PKI) belonged to the GS. The proposed scheme was constructed by using the hyperelliptic curve cryptosystem (HECC), and its security robustness was evaluated using the random oracle model (ROM). In addition, the proposed scheme was compared to the relevant existing schemes in terms of computation and communication costs. The results indicated that the proposed scheme was both efficient and secure, thereby proving its feasibility. Full article
(This article belongs to the Special Issue Communication, Coordination and Sensing of Networked Drones)
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30 pages, 8957 KiB  
Article
3D Global Path Planning Optimization for Cellular-Connected UAVs under Link Reliability Constraint
by Mehran Behjati, Rosdiadee Nordin, Muhammad Aidiel Zulkifley and Nor Fadzilah Abdullah
Sensors 2022, 22(22), 8957; https://0-doi-org.brum.beds.ac.uk/10.3390/s22228957 - 19 Nov 2022
Cited by 3 | Viewed by 1857
Abstract
This paper proposes an effective global path planning technique for cellular-connected UAVs to enhance the reliability of unmanned aerial vehicles’ (UAVs) flights operating beyond the visual line of sight (BVLOS). Cellular networks are considered one of the leading enabler technologies to provide a [...] Read more.
This paper proposes an effective global path planning technique for cellular-connected UAVs to enhance the reliability of unmanned aerial vehicles’ (UAVs) flights operating beyond the visual line of sight (BVLOS). Cellular networks are considered one of the leading enabler technologies to provide a ubiquitous and reliable communication link for UAVs. First, this paper investigates a reliable aerial zone based on an extensive aerial drive test in a 4G network within a suburban environment. Then, the path planning problem for the cellular-connected UAVs is formulated under communication link reliability and power consumption constraints. To provide a realistic optimization solution, all constraints of the optimization problem are defined based on real-world scenarios; in addition, the presence of static obstacles and no-fly zones is considered in the path planning problem. Two powerful intelligent optimization algorithms, the genetic algorithm (GA) and the particle swarm optimization (PSO) algorithm, are used to solve the defined optimization problem. Moreover, a combination of both algorithms, referred to as PSO-GA, is used to overcome the inherent shortcomings of the algorithms. The performances of the algorithms are compared under different scenarios in simulation environments. According to the statistical analysis of the aerial drive test, existing 4G base stations are able to provide reliable aerial coverage up to a radius of 500 m and a height of 85 m. The statistical analysis of the optimization results shows that PSO-GA is a more stable and effective algorithm to rapidly converge to a feasible solution for UAV path planning problems, with a far faster execution time compared with PSO and GA, about two times. To validate the performance of the proposed solution, the simulation results are compared with the real-world aerial drive test results. The results comparison proves the effectiveness of the proposed path planning method in suburban environments with 4G coverage. The proposed method can be extended by identifying the aerial link reliability of 5G networks to solve the UAV global path planning problem in the current 5G deployment. Full article
(This article belongs to the Special Issue Communication, Coordination and Sensing of Networked Drones)
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17 pages, 357 KiB  
Article
Research Trends in Collaborative Drones
by Michel Barbeau, Joaquin Garcia-Alfaro and Evangelos Kranakis
Sensors 2022, 22(9), 3321; https://0-doi-org.brum.beds.ac.uk/10.3390/s22093321 - 26 Apr 2022
Cited by 4 | Viewed by 2094
Abstract
The last decade has seen an explosion of interest in drones—introducing new networking technologies, such as 5G wireless connectivity and cloud computing. The resulting advancements in communication capabilities are already expanding the ubiquitous role of drones as primary solution enablers, from search and [...] Read more.
The last decade has seen an explosion of interest in drones—introducing new networking technologies, such as 5G wireless connectivity and cloud computing. The resulting advancements in communication capabilities are already expanding the ubiquitous role of drones as primary solution enablers, from search and rescue missions to information gathering and parcel delivery. Their numerous applications encompass all aspects of everyday life. Our focus is on networked and collaborative drones. The available research literature on this topic is vast. No single survey article could do justice to all critical issues. Our goal in this article is not to cover everything and include everybody but rather to offer a personal perspective on a few selected research topics that might lead to fruitful future investigations that could play an essential role in developing drone technologies. The topics we address include distributed computing with drones for the management of anonymity, countering threats posed by drones, target recognition, navigation under uncertainty, risk avoidance, and cellular technologies. Our approach is selective. Every topic includes an explanation of the problem, a discussion of a potential research methodology, and ideas for future research. Full article
(This article belongs to the Special Issue Communication, Coordination and Sensing of Networked Drones)
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