All Outputs (6)

A Data Serialization-based Framework for Efficient IoT Management (2024)
Presentation / Conference Contribution
Huseynov, K., Cakir, L. V., Al-Shareeda, S., Özdem, M., & Canberk, B. (2024, November). A Data Serialization-based Framework for Efficient IoT Management. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resou... Read More about A Data Serialization-based Framework for Efficient IoT Management.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities (2024)
Presentation / Conference Contribution
Duran, K., Cakir, L. V., Ozdem, M., Gursu, K., & Canberk, B. (2024, December). Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities. Paper presented at IEEE Global Communications Conference (GLOBECOM) 2024, Cape Town, South Africa

6G networks are envisioned to enable a wide range of applications, such as autonomous vehicles and smart cities. However, this rapid expansion of network topologies makes the management of 6G wireless networks more complex and leads to performance de... Read More about Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities.

AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities (2024)
Presentation / Conference Contribution
Cakir, V. L., Duran, K., Thomson, C., Broadbent, M., & Canberk, B. (2024, June). AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data... Read More about AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities.

Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications (2023)
Presentation / Conference Contribution
Ariman, M., Cakir, L. V., Özdem, M., & Canberk, B. (2023, July). Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications. Presented at 2023 International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkiye

Unmanned air vehicles are becoming widespread, driven by improved wireless technologies. However, the WiFi technology used for communication has a highly crowded and unevenly distributed channel occupancy in its spectrum. To overcome this, WiFi resou... Read More about Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications.

How to synchronize Digital Twins? A Communication Performance Analysis (2023)
Presentation / Conference Contribution
Cakir, L. V., Al-Shareeda, S., Oktug, S. F., Özdem, M., Broadbent, M., & Canberk, B. (2023, November). How to synchronize Digital Twins? A Communication Performance Analysis. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, UK

Synchronization is fundamental for mirroring real-world entities in real-time and supporting effective operations of Digital Twins (DTs). Such synchronization is enabled by the communication between the physical and virtual realms, and it is mostly a... Read More about How to synchronize Digital Twins? A Communication Performance Analysis.

Digital Twin Middleware for Smart Farm IoT Networks (2023)
Presentation / Conference Contribution
Cakir, L. V., Bilen, T., Özdem, M., & Canberk, B. (2023, June). Digital Twin Middleware for Smart Farm IoT Networks. Presented at 2023 International Balkan Conference on Communications and Networking (BalkanCom), İstanbul, Turkiye

Change in agricultural practices is crucial for reaching the Net Zero 2050 target. For this purpose, Digital Twin (DT) technology and IoT technology started to be used. These solutions’ success relies on the performance of the communication between t... Read More about Digital Twin Middleware for Smart Farm IoT Networks.