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IEEE Transactions on Industrial Informatics, 2022
With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities.
Xiaolong Xu +8 more
semanticscholar +1 more source
With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities.
Xiaolong Xu +8 more
semanticscholar +1 more source
IEEE Transactions on Vehicular Technology, 2023
The communications between vehicle-to-vehicle (V2V) with high frequency, group sending, group receiving and periodic lead to serious collision of wireless resources and limited system capacity, and the rapid channel changes in high mobility vehicular ...
Yuxin Ji +6 more
semanticscholar +1 more source
The communications between vehicle-to-vehicle (V2V) with high frequency, group sending, group receiving and periodic lead to serious collision of wireless resources and limited system capacity, and the rapid channel changes in high mobility vehicular ...
Yuxin Ji +6 more
semanticscholar +1 more source
Double Deep Q-Network Based Dynamic Framing Offloading in Vehicular Edge Computing
IEEE Transactions on Network Science and Engineering, 2023With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV), there is an increasing demand for deploying various intelligent applications on vehicles.
Huijun Tang +3 more
semanticscholar +1 more source
Deep Q-Network-Based Intelligent Routing Protocol for Underwater Acoustic Sensor Network
IEEE Sensors Journal, 2023This article proposes a deep Q-network (DQN)-based intelligent routing (DQIR) protocol for the underwater acoustic sensor networks (UASNs). The routing decision problem is modeled as a Markov decision process (MDP).
Xuan Geng, Bin Zhang
semanticscholar +1 more source
A Transfer Double Deep Q Network Based DDoS Detection Method for Internet of Vehicles
IEEE Transactions on Vehicular Technology, 2023Distributed denial of service (DDoS) attacks have become one of the main factors restricting the development of internet of vehicles (IoV). Although some intelligent reinforcement learning based methods have been introduced to mitigate DDoS attacks ...
Zhong Li, Yubo Kong, Changjun Jiang
semanticscholar +1 more source
Proceedings of the International Conference on Web Intelligence, 2017
The performance of Deep Reinforcement Learning (DRL) algorithms is usually constrained by instability and variability. In this work, we present an extension of Deep Q-Network (DQN) called Deep Deformable Q-Network which is based on deformable convolution mechanisms. The new algorithm can readily be built on existing models and can be easily trained end-
Beibei Jin +3 more
openaire +1 more source
The performance of Deep Reinforcement Learning (DRL) algorithms is usually constrained by instability and variability. In this work, we present an extension of Deep Q-Network (DQN) called Deep Deformable Q-Network which is based on deformable convolution mechanisms. The new algorithm can readily be built on existing models and can be easily trained end-
Beibei Jin +3 more
openaire +1 more source
A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization
Manufacturing & Service Operations Management, 2021Problem definition: The beer game is widely used in supply chain management classes to demonstrate the bullwhip effect and the importance of supply chain coordination.
Afshin Oroojlooyjadid +3 more
semanticscholar +1 more source
Smart Manufacturing Scheduling With Edge Computing Using Multiclass Deep Q Network
IEEE Transactions on Industrial Informatics, 2019Manufacturing is involved with complex job shop scheduling problems (JSP). In smart factories, edge computing supports computing resources at the edge of production in a distributed way to reduce response time of making production decisions.
Chun-Cheng Lin +3 more
semanticscholar +1 more source
Deep Q-Network-Based Open-Set Intrusion Detection Solution for Industrial Internet of Things
IEEE Internet of Things JournalIndustrial Internet of Things (IIoT) has brought a lot of convenience for the industrial world to digitization, automation, and intelligence, but it inevitably introduces inherent cyber security risks, resulting in an issue that traditional intrusion ...
Shou-jian Yu +6 more
semanticscholar +1 more source
Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications
IEEE Transactions on Wireless Communications, 2023In this paper, we present a beam tracking algorithm based on the deep Q-network (DQN) for mobile millimeter-wave (mmWave) communications. The proposed algorithm determines the receive beam angle from the received signals without knowing the channel model
Hyunwoo Park +4 more
semanticscholar +1 more source