Computation offloading in mobile edge computing networks: A survey
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …
which makes up for the deficiencies of mobile devices in terms of storage resource …
On 5G-V2X use cases and enabling technologies: A comprehensive survey
5G technologies promise faster connections, lower latency, higher reliability, more capacity
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …
Task offloading for mobile edge computing in software defined ultra-dense network
With the development of recent innovative applications (eg, augment reality, self-driving, and
various cognitive applications), more and more computation-intensive and data-intensive …
various cognitive applications), more and more computation-intensive and data-intensive …
Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach
Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance
both the coverage and performance of communication networks in various scenarios, such …
both the coverage and performance of communication networks in various scenarios, such …
Harnessing artificial intelligence capabilities to improve cybersecurity
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
Low illumination underwater light field images reconstruction using deep convolutional neural networks
Underwater optical images are usually influenced by low lighting, high turbidity scattering
and wavelength absorption. To solve these issues, a great deal of work has been performed …
and wavelength absorption. To solve these issues, a great deal of work has been performed …
Cognitive computing: architecture, technologies and intelligent applications
With the development of network-enabled sensors and artificial intelligence algorithms,
various human-centered smart systems are proposed to provide services with higher quality …
various human-centered smart systems are proposed to provide services with higher quality …
Cognitive internet of vehicles
To fully realize future autonomous driving scenarios, Internet of Vehicles (IoV) has attracted
wide attention from both academia and industry. However, suitable cost and stable …
wide attention from both academia and industry. However, suitable cost and stable …
Towards decentralized IoT security enhancement: A blockchain approach
With the rapid development of internet of things (IoT), it has brought great convenience to
users in different fields, such as smart home, smart transportation and so on. However, it …
users in different fields, such as smart home, smart transportation and so on. However, it …
Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information
S Lee, SK Lee - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has emerged as a key component of smart cities. Connected
vehicles are increasingly processing real-time data to respond immediately to user requests …
vehicles are increasingly processing real-time data to respond immediately to user requests …