Q-learning driven routing for aeronautical Ad-Hoc networks
Journal Article
Bilen, T., & Canberk, B. (2022)
Q-learning driven routing for aeronautical Ad-Hoc networks. Pervasive and Mobile Computing, 87, Article 101724. https://doi.org/10.1016/j.pmcj.2022.101724
The aeronautical ad-hoc network (AANET) is one of the critical methodologies to satisfy the Internet connectivity requirement of airplanes during their flights. However, the u...
Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead
Journal Article
Masaracchia, A., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2022)
Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead. IEEE Open Journal of the Communications Society, 3, 2137-2150. https://doi.org/10.1109/OJCOMS.2022.3219015
The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6...
A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity
Journal Article
Bilen, T., Ak, E., Bal, B., & Canberk, B. (2022)
A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity. IEEE Communications Standards Magazine, 6(3), 60-68. https://doi.org/10.1109/MCOMSTD.0001.2100103
The in-flight connectivity (IFC) turns to a crucial need from luxury with technological advances. The WiFi-enabled IFC (W-IFC) meets most of this need by deploying access poin...
Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks
Journal Article
Yigit, Y., Bal, B., Karameseoglu, A., Duong, T. Q., & Canberk, B. (2022)
Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks. IEEE Communications Standards Magazine, 6(3), 38-44. https://doi.org/10.1109/MCOMSTD.0001.2100022
Existing distributed denial of service attack (DDoS) solutions cannot handle highly aggregated data rates; thus, they are unsuitable for Internet service provider (ISP) core n...
Enabling Self-Organizing TDMA Scheduling for Aerial Swarms
Conference Proceeding
Aydın, E. E., Kara, O., Cakir, F., Cansiz, B. S., Seçinti, G., & Canberk, B. (2022)
Enabling Self-Organizing TDMA Scheduling for Aerial Swarms. In DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. https://doi.org/10.1145/3539493.3539584
With the proliferation of affordable VTOL drones, application domain of aerial swarms expands everyday, spanning from public drone art to offensive military operations. Orches...
DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks
Journal Article
Çakır, L. V., Huseynov, K., Ak, E., & Canberk, B. (2022)
DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9(31), Article e5. https://doi.org/10.4108/eetinis.v9i31.1059
Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power ...
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines
Journal Article
Fahim, M., Sharma, V., Cao, T., Canberk, B., & Duong, T. Q. (2022)
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/access.2022.3147602
Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollu...