DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics
Abstract Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have
been found useful for operations such as smart city and disaster management. These …
been found useful for operations such as smart city and disaster management. These …
Energy-aware dynamic computation offloading for video analytics in multi-UAV systems
Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have been
found to be useful for operations such as disaster management and smart farming. These …
found to be useful for operations such as disaster management and smart farming. These …
Policy-based function-centric computation offloading for real-time drone video analytics
D Chemodanov, C Qu, O Opeoluwa… - … Symposium on Local …, 2019 - ieeexplore.ieee.org
Computer vision applications are increasingly used on mobile Internet-of-Things (IoT)
devices such as drones. They provide real-time support in disaster/incident response or …
devices such as drones. They provide real-time support in disaster/incident response or …
Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …
Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications
The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …
the emergence of many latency-constrained and computation-intensive applications such as …
[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …
support of human activities, such as target tracking, disaster rescue, and surveillance …
Learning-based computation offloading approaches in UAVs-assisted edge computing
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …
more computing and storage resources, leading to the vision of UAVs-assisted edge …
A self-learning strategy for task offloading in UAV networks
The edge computing paradigm has opened new opportunities for IoT devices, which can be
used in novel applications involving heavy processing of data. Typical and common …
used in novel applications involving heavy processing of data. Typical and common …
DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks
A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …
data and provide various services for all walks of life. However, limited computing capability …
Deep Reinforcement Learning Based Computation Offloading in UAV-Assisted Edge Computing
Traditional multi-access edge computing (MEC) often has difficulty processing large
amounts of data in the face of high computationally intensive tasks, so it needs to offload …
amounts of data in the face of high computationally intensive tasks, so it needs to offload …