EdgeDrone: QoS aware MQTT middleware for mobile edge computing in opportunistic Internet of Drone Things
Internet of Things is a crucial research empire in the current era which enables a wide
diversity of applications. One of the emerging classes of technology in recent age dominate …
diversity of applications. One of the emerging classes of technology in recent age dominate …
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
An end-to-end load balancer based on deep learning for vehicular network traffic control
The infrastructure to vehicle (I2V) communication boosts a large number of prevailing
vehicular services, which can provide vehicles with external information, storage, and …
vehicular services, which can provide vehicles with external information, storage, and …
Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions
During the last decade, research and development in the field of multi access edge
computing (MEC) has rapidly risen to prominence. One of the factors propelling MEC's …
computing (MEC) has rapidly risen to prominence. One of the factors propelling MEC's …
Adaptive modulation based on nondata-aided error vector magnitude for smart systems in smart cities
F Yang, J Huang, A Bhardwaj… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
A smart city involves big data transmission (BDT) between smart systems, which increases
queue delays and leads to difficulty in enhancing the spectral efficiency. Adaptive …
queue delays and leads to difficulty in enhancing the spectral efficiency. Adaptive …
A comprehensive survey on aerial mobile edge computing: Challenges, state-of-the-art, and future directions
Driven by the visions of Internet of Things (IoT), there is an ever-increasing demand for
computation resources of IoT users to support diverse applications. Mobile edge computing …
computation resources of IoT users to support diverse applications. Mobile edge computing …
Empowering edge intelligence by air-ground integrated federated learning
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies intelligence over the whole network from the core to …
generation (6G) networks, which implies intelligence over the whole network from the core to …
Intelligent vehicle-to-vehicle charging navigation for mobile electric vehicles via VANET-based communication
A direct vehicle-to-vehicle (V2V) charging scheme supplies flexible and fast energy
exchange way for electric vehicles (EVs) without the supports of charging stations. Main …
exchange way for electric vehicles (EVs) without the supports of charging stations. Main …
Efficient UAV-based mobile edge computing using differential evolution and ant colony optimization
MH Mousa, MK Hussein - PeerJ Computer Science, 2022 - peerj.com
Abstract Internet of Things (IoT) tasks are offloaded to servers located at the edge network
for improving the power consumption of IoT devices and the execution times of tasks …
for improving the power consumption of IoT devices and the execution times of tasks …
[图书][B] Mobile edge computing
Y Zhang - 2022 - library.oapen.org
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …