Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles

RM Shukla, S Sengupta… - 2018 IEEE 8th Annual …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are gaining a lot of popularity among research
communities as well as various service providers. The UAVs deployed in mission-critical …

On the feasibility of infrastructure assistance to autonomous UAV systems

S Baidya, M Levorato - 2020 16th international conference on …, 2020 - ieeexplore.ieee.org
Infrastructure assistance has been proposed as a viable solution to improve the capabilities
of commercial Unmanned Aerial Vehicles (UAV), especially toward fully autonomous …

A Convex Optimization Assisted DDQL Algorithm for Computing Resource Allocation in Space-Aerial Integrated Network

MH Lin, Y Li, S Wang, R Jiang… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
This paper investigates space-aerial assisted mixed cloud-edge computing services for
space-aerial integrated networks, where unmanned aerial vehicles (UAVs) provide edge …

Flexedge: Dynamic task scheduling for a uav-based on-demand mobile edge server

H Sun, B Zhang, X Zhang, Y Yu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the large number of cameras deployed in smart industrial parks and smart campuses,
edge devices and location-fixed edge servers are deployed near to these cameras and help …

Energy-efficient UAV deployment and task scheduling in multi-UAV edge computing

Y Wang, H Wang, X Wei - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) Edge Computing is expected to be critical for providing
communications, computation, and storage services at areas with weak infrastructures …

Delay-optimal task offloading for UAV-enabled edge-cloud computing systems

J Almutairi, M Aldossary, HA Alharbi, BA Yosuf… - IEEE …, 2022 - ieeexplore.ieee.org
The emergence of delay-sensitive and computationally-intensive mobile applications and
services pose a significant challenge for Unmanned Aerial Vehicles (UAVs) devices due to …

A novel Lyapunov based dynamic resource allocation for UAVs-assisted edge computing

J Lin, L Huang, H Zhang, X Yang, P Zhao - Computer Networks, 2022 - Elsevier
Mobile edge computing (MEC), as a key component in the development of IoT and 5G
technologies, can provide extra computation resources in edge servers for mobile devices to …

Fairness-aware task scheduling and resource allocation in UAV-enabled mobile edge computing networks

M Zhao, W Li, L Bao, J Luo, Z He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has recently
emerged to provide data processing and caching in the infrastructure-less areas. However …

Scheduling dnn inferencing on edge and cloud for personalized uav fleets

S Raj, H Gupta, Y Simmhan - 2023 IEEE/ACM 23rd …, 2023 - ieeexplore.ieee.org
Drone fleets with onboard cameras coupled with DNN inferencing models can support
diverse applications, from infrastructure monitoring to package deliveries. Here, we propose …

RESERVE: An energy-efficient edge cloud architecture for intelligent multi-UAV

B Chen, H Zhou, J Yao, H Guan - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the increasing attraction of unmanned aerial vehicles (UAVs) in civil, public, and
military applications, multi-UAV systems can perform environmental and disaster monitoring …