Artificial Intelligence for Network of UAVs and Swarms of Small Satellites

in Special Issue   Posted on February 12, 2021 

Information for the Special Issue

Submission Deadline: Tue 31 Aug 2021
Journal Impact Factor : 3.275
Journal Name : Sensors
Journal Publisher:
Website for the Special Issue: https://www.mdpi.com/journal/sensors/special_issues/sss_sensors
Journal & Submission Website: https://www.mdpi.com/journal/sensors

Special Issue Call for Papers:

The use of aerial drones, also known as unmanned aerial vehicles (UAVs), has proven to be very useful in rescue and monitoring operations, and more particularly, in ensuring population surveillance during the management of the COVID-19 pandemic. Drones can be used for communication, monitoring and delivery. Deep space exploration requires developing and deploying new generations of flexible and resilient swarms of small satellites, with adaptive capabilities and intelligent functions.

The integration of unmanned vehicles with terrestrial and space networks is under standardization and experimentation.

Research in this domain revealed several critical issues, such as autonomous deployment, navigation and control, energy management and seamless services, over heterogenous networks. Advanced methods should be designed for the reliable and efficient functioning of the network of unmanned vehicles, and swarms of small satellites.

This Special Issue is looking for contributions investigating the use of Artificial Intelligence in the field of placement, smart network control and navigation of unmanned vehicles and swarms of small satellites from theoretical to experimental studies.

Potential topics include but are not limited to the following:

Efficient and resilient smart deployment of aerial drones;
Smart deployment and control of swarms of small satellites;
Smart control of unmanned vehicles aided networks;
UAV aided mobile sensor networks;
Autonomous vehicles networks monitoring;
Energy efficient UAV tracking of mobile targets;
Energy harvesting for UAV networks;
Traffic monitoring aided by unmanned vehicles;
Intelligent resource allocation schemes for UAV and Swarms of nano-satellite networks;
Beyond 5G Space-Air-Ground networks control;
Coverage optimization and control in UAV surveillance;
Collision avoidance for unmanned vehicles;
Autonomous networks for deep space exploration;
AI-based control of UAV and Swarms of nano-satellite networks;
Experimental platforms for UAV networks, UAVs aided mobile networks and Swarms of small satellites

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