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A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
(
MDPI
, 2020 , Article)
Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ...
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos
(
Elsevier
, 2020 , Article)
© 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...
An incentive mechanism for data sharing based on blockchain with smart contracts
(
Elsevier
, 2020 , Article)
© 2020 Data sharing techniques have progressively drawn increasing attention as a means of significantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust ...
Game Theory for Anti-Jamming Strategy in Multichannel Slow Fading IoT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The open nature of the wireless communication medium renders it vulnerable to jamming attacks by malicious users. To detect their presence and to avoid such attacks, several techniques are present in the literature. Most ...
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ...
A Brief Survey and Implementation on Refinement for Intent-Driven Networking
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Intent-driven networking (IDN) is emerging because the traditional network is complicated and error-prone when configured. As the key step of IDN, intent refinement is an alternative approach to convert intents from ...
A Hybrid Deep Reinforcement Learning for Autonomous Vehicles Smart-Platooning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The development of Autonomous Vehicles (AVs) envisions the promising technology of future Intelligent Transportation Systems (ITS). However, the complex road structures and increased vehicles cause traffic congestion and ...
Malicious mining code detection based on ensemble learning in cloud computing environment
(
Elsevier B.V.
, 2021 , Article)
Hackers increasingly tend to abuse and nefariously use cloud services by injecting malicious mining code. This malicious code can be spread through infrastructures in the cloud platforms and pose a great threat to users ...
An Energy-Efficient In-Network Computing Paradigm for 6G
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ...
NeuroTrust - Artificial-Neural-Network-Based Intelligent Trust Management Mechanism for Large-Scale Internet of Medical Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Medical Things (IoMT) provides a diverse platform for healthcare to enhance the accuracy, reliability, and efficiency. In addition, it utilizes the productivity of available equipment to improve patients' health. ...