Edge-computing-driven internet of things: A survey
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …
management (NRM) is revolutionizing how natural resources are managed. To gain more …
Deep reinforcement learning based computation offloading and resource allocation for MEC
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …
A survey on energy efficient narrowband internet of things (NBIoT): architecture, application and challenges
The advancement of technologies over years has poised Internet of Things (IoT) to scoop
out untapped information and communication technology opportunities. It is anticipated that …
out untapped information and communication technology opportunities. It is anticipated that …
A computation offloading method over big data for IoT-enabled cloud-edge computing
The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …
processes big real-time data to render rich services for mobile users. In order to mitigate …
Cooperative task offloading in three-tier mobile computing networks: An ADMM framework
Y Wang, X Tao, X Zhang, P Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The deployment of cloud and edge computing forms a three-tier mobile computing network,
where each task can be processed locally, by the edge nodes, or by the remote cloud …
where each task can be processed locally, by the edge nodes, or by the remote cloud …
Reinforcement learning-based mobile offloading for edge computing against jamming and interference
Mobile edge computing systems help improve the performance of computational-intensive
applications on mobile devices and have to resist jamming attacks and heavy interference …
applications on mobile devices and have to resist jamming attacks and heavy interference …
Privacy-preserved task offloading in mobile blockchain with deep reinforcement learning
Blockchain technology with its secure, transparent and decentralized nature has been
recently employed in many mobile applications. However, the process of executing …
recently employed in many mobile applications. However, the process of executing …
Latency and energy optimization for MEC enhanced SAT-IoT networks
Mobile edge computing (MEC) enhanced satellite based internet of things (SAT-IoT) is an
important complement for terrestrial networks based IoT, especially for the remote and …
important complement for terrestrial networks based IoT, especially for the remote and …
Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT
G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …
weak computing power and small energy storage. To meet the real-time and big data …