A Deep Reinforcement Learning Approach for Improving Age of Information in Mission-Critical IoT
Author:
Affiliation:
1. Aalborg University,Department of Electronic Systems,Copenhagen,Denmark
2. Mid Sweden University,Department of Information Systems and Technology,Sundsvall,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9692905/9691504/09692982.pdf?arnumber=9692982
Reference19 articles.
1. AoI Minimization Data Collection Scheduling for Battery-Free Wireless Sensor Networks
2. Scheduling Algorithms for Optimizing Age of Information in Wireless Networks With Throughput Constraints
3. Minimization of Age of Information in Fading Multiple Access Channels
4. On the Age of Information With Packet Deadlines
5. Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks
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2. AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT;2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT);2023-12-10
3. Timely and Efficient Information Delivery in Real-Time Industrial IoT Networks;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05
4. Enabling Communication and Networking Technologies for 6G in Healthcare Sector;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18
5. Reinforcement Learning for Optimizing Age of Information and Energy Consumption in Misson-critical IoT;2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI);2023-06
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