A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …
A survey on task offloading in multi-access edge computing
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …
new type of application that requires huge computation power and minimal delay …
Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …
challenging computational problem. Edge Computing is an emerging computation paradigm …
UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …
applications. The growing number of networked IoT devices generates a large amount of …
AI for UAV-assisted IoT applications: A comprehensive review
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …
academic and industrial research communities, owing to their wide range of potential …
SanJeeVni: Secure UAV-envisioned massive vaccine distribution for COVID-19 underlying 6G network
A Verma, P Bhattacharya, D Saraswat… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) are deployed in Novel Coronavirus Disease-
2019 (COVID-19) vaccine distribution process. To address issues of fake vaccine …
2019 (COVID-19) vaccine distribution process. To address issues of fake vaccine …
[HTML][HTML] A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing
Abstract The Autonomous Underwater Glider (AUG) is a kind of prevailing underwater
intelligent internet vehicle and occupies a dominant position in industrial applications, in …
intelligent internet vehicle and occupies a dominant position in industrial applications, in …
Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …
transmission delays and transmission energy consumption. To reduce the cost of resources …