About this Research Topic
Recent years have seen the rapid adoption of unmanned aerial vehicles (UAVs) in a variety of applications; from agriculture to industry, from government to private organizations and from smart cities to rural area monitoring. Along with the development of the Internet of Things, smart computer vision, cloud computing, advanced wireless communication and artificial intelligence, UAVs are becoming more maneuverable and smarter and the Internet of Drone (IoD) is evolving as one of the promising technologies and use cases of UAVs. With IoD-based implementations, many industry sectors are expected to adopt automation for performing smart monitoring, surveillance and search and rescue via reliable mobile communications systems.
To contribute to this technology expansion, a fully autonomous UAV must integrate many intelligent abilities, such as environment recognition, collision prediction, fault diagnosis and failure control, network connectivity, as well as the ability to connect to remote nodes and other UAVs through various communication techniques. This research topic invites novel contributions from both academia and industry to research, develop and explore the opportunities, challenges, and solutions related to revolutionary and innovative architectures, approaches, methodologies, and technologies towards the realization of the Internet of Drone.
Subjects of interest for this research topic include, but are not limited to the following areas:
• IoD system modelling, analysis, and optimization
• Architecture and communication protocols for IoD Networks.
• Network layout planning and performance optimization
• Integration of IoD with state-of-the-art wireless technologies (e.g., NOMA, massive MIMO, millimeter wave communication, cognitive radio, cooperative communication).
• Intelligent signal processing techniques, including signal detection, channel estimation, and coding for aerial communications.
• Integration of terrestrial WSN with the aerial network.
• Ultra-reliable and lower-latency communication
• Channel and propagation modeling for IoD/aerial communications.
• Spectrum management, standardization, policies and regulatory issues.
• Performance analysis and optimization of transmission schemes for aerial communications
• Prototyping, measurements, and experimentation of IoT.
• ML-based resource optimization.
• ML/AI-enabled energy efficient and self-sustaining communication and networking.
• Localization and tracking in IoD network.
• Intelligent collaborative or distributed network management.
• ML/AI techniques to enable intelligent IoD.
• ML/AI technique for autonomous UAVs.
• ML/AI-enabled data collection and analysis.
• ML-based sensor fusion and environment detection
Keywords: Unmanned Aerial Vehicle (UAV), Drone, Flying Ad-Hoc Network (FANET), Internet of Drone (IoD), Beyond Visual Line of Sight (BVLoS), Mobile Network, 5G and Beyond, Aerial Wireless, Terrestrial-Aerial, Airborne Communication.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.