QoS-aware machine learning task offloading and power control in internet of drones

J Yao, N Ansari - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Internet of Drones (IoD), where drones act as the Internet of Things (IoT) devices, provides
multiple services, such as object recognition, traffic monitoring, and disaster rescue. The …

PA-Offload: performability-aware adaptive fog offloading for drone image processing

F Machida, E Andrade - … on Fog and Edge Computing (ICFEC), 2021 - ieeexplore.ieee.org
Smart drone systems have built-in computing resources for processing real-world images
captured by cameras to recognize their surroundings. Due to limited resources and battery …

Task offloading optimization for UAV-assisted fog-enabled Internet of Things networks

X Huang, X Yang, Q Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) have been considered as an efficient way to
provide enhanced coverage or relaying services to Internet of Things devices (IDs) in …

[PDF][PDF] Learning based intelligent iot task offloading and resource allocation in UAV-assisted fog network

SF Abedin, MGR Alam, CS Hong - Korean Computer Bell Joint …, 2017 - academia.edu
Abstract Unmanned Aerial Vehicles (UAVs) are widely used to serve different IoT services
and applications in the Fog environment. In order to perform offloading task locally in a …

Online task allocation and flying control in fog-aided internet of drones

J Yao, N Ansari - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
Fog-aided Internet of Drones (IoD) networks employ fog nodes to provide computing
resources for the delay-sensitive tasks offloaded from drones. In IoD networks, drones are …

Energy-efficient task offloading and trajectory planning in UAV-enabled mobile edge computing networks

B Li, W Liu, W Xie, X Li - Computer Networks, 2023 - Elsevier
In order to meet the double-sided challenges brought by the shortage of computation
resources and energy of users, we investigate in this paper the optimization of energy …

Towards traffic load balancing in drone-assisted communications for IoT

Q Fan, N Ansari - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Edge computing enables data collected by Internet of Things (IoT) devices to be stored in
and processed by local fog nodes as well as allows IoT users to access IoT applications via …

[HTML][HTML] Dynamic offloading in flying fog computing: optimizing IoT network performance with mobile drones

W Min, A Khakimov, AA Ateya, M ElAffendi… - Drones, 2023 - mdpi.com
The rapid growth of Internet of Things (IoT) devices and the increasing need for low-latency
and high-throughput applications have led to the introduction of distributed edge computing …

ENERGENT: An energy-efficient UAV-assisted fog-IoT framework for disaster management

FS Abkenar, S Iranmanesh… - Journal of …, 2022 - ieeexplore.ieee.org
In this paper, we propose ENergy-efficient disastER manaGmENT (ENERGENT) as a novel
framework for disaster management in the unmanned aerial vehicle (UAV)-assisted Fog …

[HTML][HTML] Intelligent Online Offloading and Resource Allocation for HAP Drones and Satellite Collaborative Networks

C Gao, X Bian, B Hu, S Chen, H Wang - Drones, 2024 - mdpi.com
High-altitude platform (HAP) drones and satellites collaborate to form a network that
provides edge computing services to terrestrial internet of things (IoT) devices, which is …