Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios
The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video
streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous …
streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous …
A survey on computation offloading modeling for edge computing
H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …
storage facilities toward the edge of a network. This new computing paradigm opens up new …
[HTML][HTML] From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Enabling AI in future wireless networks: A data life cycle perspective
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …
An overview of wireless communication technology using deep learning
J Jiao, X Sun, L Fang, J Lyu - China Communications, 2021 - ieeexplore.ieee.org
With the development of 5G, the future wireless communication network tends to be more
and more intelligent. In the face of new service demands of communication in the future such …
and more intelligent. In the face of new service demands of communication in the future such …
AuctionWhisk: Using an auction‐inspired approach for function placement in serverless fog platforms
Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …
model for fog environments comprising both cloud and edge nodes, as compute requests …
[HTML][HTML] 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 …
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services
Y Chen, S Han, G Chen, J Yin, KN Wang… - … Information Science and …, 2023 - Springer
Wireless body area network (WBAN) is widely adopted in healthcare services, providing
remote real-time and continuous healthcare monitoring. With the massive increase of …
remote real-time and continuous healthcare monitoring. With the massive increase of …