Swarm robotics: A perspective on the latest reviewed concepts and applications
Known as an artificial intelligence subarea, Swarm Robotics is a develo** study field
investigating bio-inspired collaborative control approaches and integrates a huge collection …
investigating bio-inspired collaborative control approaches and integrates a huge collection …
Traffic flow optimization for UAVs in multi-layer information-centric software-defined FANET
Unmanned Aerial Vehicles (UAVs) have received significant research interest from
academia due to their on-demand content distribution capabilities using mobile edge …
academia due to their on-demand content distribution capabilities using mobile edge …
A GPS-free flocking model for aerial mesh deployments in disaster-recovery scenarios
In the aftermath of a large-scale emergency, Unmanned Aerial Vehicles (UAVs) can play a
key role as mobile communication systems supporting rescue operations on the ground. At …
key role as mobile communication systems supporting rescue operations on the ground. At …
Graph-represented computation-intensive task scheduling over air-ground integrated vehicular networks
This article investigates vehicular cloud (VC)-assisted task scheduling in an air-ground
integrated vehicular network (AGVN), where tasks carried by unmanned aerial vehicles …
integrated vehicular network (AGVN), where tasks carried by unmanned aerial vehicles …
Deep reinforcement learning for intelligent service provisioning in software-defined industrial fog networks
Fog computing has become a promising technology to improve the performance of low-
powered Industrial Internet of Things (IIoT) devices by providing flexible and convenient …
powered Industrial Internet of Things (IIoT) devices by providing flexible and convenient …
L-norm: Learning and network orchestration at the edge for robot connectivity and mobility in factory floor environments
Robotic factory floors will revolutionize the future of manufacturing and the service industry
by automating tasks. However, to fully supplement human effort, these robots will need low …
by automating tasks. However, to fully supplement human effort, these robots will need low …
Drone-assisted edge computing: a game-theoretical approach
Edge computing is an evolution of cloud computing, which brings application hosting from
centralized data-centers down to the network edge, closer to mobile users and IoT devices …
centralized data-centers down to the network edge, closer to mobile users and IoT devices …
Security-aware resource sharing in software defined air-ground integrated networks: A game approach
To accommodate the surge of data traffic in unmanned aerial vehicle (UAV) applications,
software defined air-ground integrated networks (SD-AGNs) hold great potentials for efficient …
software defined air-ground integrated networks (SD-AGNs) hold great potentials for efficient …
Flying Mobile Edge Computing towards 5G and beyond: An Overview on current use cases and challenges
P Cumino, S Sargento - 2020 12th International Symposium on …, 2020 - ieeexplore.ieee.org
The increasing computational capacity of multiple devices, the advent of complex
applications, and data generation create new challenges of scalability, ubiquity, and …
applications, and data generation create new challenges of scalability, ubiquity, and …
Flying Among Stars: Jamming-Resilient Channel Selection for UAVs Through Aerial Constellations
Wireless communication between an unmanned aerial vehicle (UAV) and the ground base
station is susceptible to adversarial jamming. In such situations, it is important for the UAV to …
station is susceptible to adversarial jamming. In such situations, it is important for the UAV to …