Security, Privacy and Reliability of Drone Communications for beyond 5G Networks
A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Communications".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 89256
Special Issue Editors
Interests: wireless communications; network information theory; internet of things; green communication; sustainable cellular networks
Special Issues, Collections and Topics in MDPI journals
Interests: IoT; 5G; blockchain; machine learning; UAVs; wireless communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Unmanned aerial vehicles (UAVs), also known as drones, have earned significant recognition in providing ubiquitous wireless connectivity to a variety of applications, including surveillance, agriculture, healthcare, traffic control, inspections, and public safety. The communication process of traditional drone communication networks is typically carried out by short-range wireless networking technologies such as Wi-Fi (IEEE 802.11), ZigBee (IEEE 802.15.4), Bluetooth (IEEE 802.15.1), and others. It operates over an unlicensed spectrum (e.g., ISM 2.4 GHz), which has the characteristics of a low data rate, inefficient bandwidth, tendency toward security lapses, and a very limited operating range. To address these limitations, traditional cellular networks can be used to connect drones. They offer better data communication services in circumstances where the transmission range is wide and short-distance wireless systems are not capable of meeting high throughput requirements. Moreover, recent advances in 5G have made it possible to conceptualize cellular networks beyond 5G (B5G) and sixth-generation (6G), capable of unleashing the full potential of abundant, past-including autonomous services as well as emerging trends.
This Special Issue aims to suggest solutions to challenging issues such as privacy leakage, data confidentiality, and flexible accessibility over 5G and beyond wireless networks. Researchers around the world are encouraged to propose cutting-edge technologies such as artificial intelligence (AI)/machine learning (ML), quantum machine learning (QML), blockchain, terahertz (THz) communication, fog/edge computing, visible light communication (VLC), and so on, for drone communication networks.
Potential topics include but are not limited to:
- Security and privacy issues of drone communication networks;
- Integrating drones into 5G and beyond;
- Real-time video broadcasting from the drone to 5G networks;
- D2D and cognitive communications;
- Energy-efficient drone communications in 5G and beyond;
- Blockchain-based security protocols for 5G-enabled drone communication;
- Novel frameworks and algorithms based on existing and upcoming technologies to enhance the scalability and security of 5G-enabled drone communication;
- Cloud, fog, and edge computing architecture for drone-assisted communication networks;
- SDN and NFV for drone communications;
- Machine learning algorithms for drone-assisted communication networks;
- Reinforcement-learning based intelligent applications in drone communication.
Dr. Mohammed H. Alsharif
Dr. Muhammad Asghar Khan
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. Drones is an international peer-reviewed open access monthly 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
- Security
- Privacy
- Blockchain
- Cognitive communications
- 5G, B5G, 6G
- UAVs
- Drones
- SDN
- Machine learning
- Energy efficiency
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