Prof Berk Canberk's Outputs (60)

Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks (2024)
Journal Article
Duran, K., Cakir, L. V., Fonzone, A., Duong, T. Q., & Canberk, B. (online). Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks. IEEE Open Journal of Vehicular Technology, 5, 1650-1662. https://doi.org/10.1109/ojvt.2024.3484956

Evolving transportation networks need seamless integration and effective infrastructure utilisation to form the next-generation transportation networks. Also, they should be capable of capturing the traffic flow data at the right time and promptly ap... Read More about Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks.

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks (2024)
Journal Article
Cakir, L. V., Kocak, M., Özdem, M., & Canberk, B. (2024). Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks. *New journal, 1(1), 41 - 46

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this a... Read More about Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks.

Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks (2024)
Journal Article
Cakir, L. V., Thomson, C. J., Özdem, M., Canberk, B., Nguyen, V.-L., & Duong, T. Q. (online). Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks. IEEE Transactions on Cognitive Communications and Networking, https://doi.org/10.1109/tccn.2024.3469234

The accuracy and timeliness tradeoff prevents Digital Twins (DTs) from realizing their full potential. High accuracy is crucial for decision-making, and timeliness is equally essential for responsiveness. Therefore, this tradeoff in DT communication... Read More about Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks.

AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks (2024)
Journal Article
Yigit, Y., Maglaras, L., Buchanan, W. J., Canberk, B., Shin, H., & Duong, T. Q. (2024). AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks. IEEE Internet of Things, 11(22), 36168-36181. https://doi.org/10.1109/jiot.2024.3455089

Digital twin technology is crucial to the development of the sixth-generation (6G) Internet of Vehicles (IoV) as it allows the monitoring and assessment of the dynamic and complicated vehicular environment. However, 6G IoV networks have critical chal... Read More about AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks.

Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities (2024)
Journal Article
Yigit, Y., Ahmadi, H., Yurdakul, G., Canberk, B., Hoang, T., & Duong, T. Q. (2024). Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities. IEEE Communications Standards Magazine, 8(3), 28-34. https://doi.org/10.1109/mcomstd.0002.2300027

Digital twin (DT)-based smart cities are anticipated to achieve seamless integration between physical and digital objects to satisfy an enormous number of users across all domains. Therefore, the infrastructure of 6G smart cities has become an import... Read More about Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities.

Throughput Maximization in RIS-Assisted NOMA-THz Communication Network (2024)
Journal Article
Do-Duy, T., Masaracchia, A., Canberk, B., Nguyen, L. D., & Duong, T. Q. (2024). Throughput Maximization in RIS-Assisted NOMA-THz Communication Network. IEEE Open Journal of the Communications Society, 5, 5706-5717. https://doi.org/10.1109/ojcoms.2024.3454255

In order to overcome spectrum scarcity and provide higher data rates, the sixth-generation (6G) wireless communication network is expected to perform data transmission using terahertz (THz) frequencies. However, the effective implementation of these... Read More about Throughput Maximization in RIS-Assisted NOMA-THz Communication Network.

Machine Learning for Smart Healthcare Management Using IoT (2024)
Book Chapter
Yigit, Y., Duran, K., Moradpoor, N., Maglaras, L., Van Huynh, N., & Canberk, B. (2024). Machine Learning for Smart Healthcare Management Using IoT. In IoT and ML for Information Management: A Smart Healthcare Perspective (135-166). Springer. https://doi.org/10.1007/978-981-97-5624-7_4

This chapter explores the significant impact of Machine Learning (ML) and the Internet of Things (IoT) on smart healthcare management, marking a new era of innovation with enhanced patient care and health outcomes. The fusion of IoT devices for real-... Read More about Machine Learning for Smart Healthcare Management Using IoT.

Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond (2024)
Journal Article
Hussain, B., Bacha, S. F. N., Cheema, A. A., Canberk, B., & Duong, T. Q. (2024). Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond. IEEE Open Journal of the Communications Society, 5, 5667-5679. https://doi.org/10.1109/ojcoms.2024.3450089

Unmanned aerial vehicles (UAVs) are envisioned to play a pivotal role in modern telecommunication and wireless sensor networks, offering unparalleled flexibility and mobility for communication and data collection in diverse environments. This paper p... Read More about Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond.

Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things (2024)
Journal Article
Bui, T. T., Nguyen, L. D., Canberk, B., Sharma, V., Dobre, O. A., & Shin, H. (online). Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things. IEEE Communications Magazine, https://doi.org/10.1109/mcom.001.2300545

Integrated satellite-terrestrial networks (ISTNs) technology in the sixth generation (6G) wireless networks has been considered a promising candidate for global coverage and seamless connectivity for the Internet of things (IoT). However, integrating... Read More about Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things.

Development of Digital Twin System for Cloud of Things (2024)
Book Chapter
Bozkaya-Aras, E., Canberk, B., & Schmid, S. (2024). Development of Digital Twin System for Cloud of Things. In J. Kumar, G. Gangadharan, A. Kumar Singh, & C.-N. Lee (Eds.), Cloud of Things: Foundations, Applications, and Challenges. CRC Press. https://doi.org/10.1201/9781003390954-2

New technologies emerging with Industry 4.0 have led to an increase in capabilities in communication networks and a change in lifestyle. In particular, Internet of Things (IoT) services have reshaped the way people interact with the world. IoT establ... Read More about Development of Digital Twin System for Cloud of Things.

AI-based traffic analysis in digital twin networks (2024)
Book Chapter
Al-Shareeda, S., Huseynov, K., Cakir, L. V., Thomson, C., Ozdem, M., & Canberk, B. (2024). AI-based traffic analysis in digital twin networks. In H. Ahmadi, T. Q. Duong, A. Nag, V. Sharma, B. Canberk, & O. A. Dobre (Eds.), Digital Twins for 6G: Fundamental theory, technology and applications (83-132). Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbte109e_ch4

In today’s networked world, Digital Twin Networks (DTNs) are revolutionizing how we understand and optimize physical networks. These networks, also known as ’Digital Twin Networks (DTNs)’ or ’Networks Digital Twins (NDTs),’ encompass many physical ne... Read More about AI-based traffic analysis in digital twin networks.

Digital Twins for 6G: Fundamental theory, technology and applications (2024)
Book
Ahmadi, H., Duong, T. Q., Nag, A., Sharma, V., Canberk, B., & Dobre, O. A. (Eds.). (2024). Digital Twins for 6G: Fundamental theory, technology and applications. Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbte109e

Digital twin (DT) technology is a real-time evolving digital duplicate of a physical object or process that contains all its history. It is enabled by massive real-time multi-source data collection and analysis. While 6G is considered as an enabler o... Read More about Digital Twins for 6G: Fundamental theory, technology and applications.

AI-enabled data management for digital twin networks (2024)
Book Chapter
Ak, E., Yurdakul, G., Al-Dubai, A., & Canberk, B. (2024). AI-enabled data management for digital twin networks. In H. Ahmadi, T. Q. Duong, A. Nag, V. Sharma, B. Canberk, & O. A. Dobre (Eds.), . Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbte109e_ch3

As we have discussed in previous chapters, digital twins establish contextual relationships with the surrounding entities, providing a holistic view of interconnected systems and environments. With the growing complexity and abundance of data generat... Read More about AI-enabled data management for digital twin networks.

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques (2024)
Journal Article
Sun, C., Fontanesi, G., Canberk, B., Mohajerzadeh, A., Chatzinotas, S., Grace, D., & Ahmadi, H. (2024). Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques. IEEE Open Journal of Vehicular Technology, 5, 825-854. https://doi.org/10.1109/ojvt.2024.3401024

This paper provides a comprehensive overview of the evolution of Machine Learning (ML), from traditional to advanced, in its application and integration into unmanned aerial vehicle (UAV) communication frameworks and practical applications. The manus... Read More about Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques.

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach (2024)
Journal Article
Aydin, E. E., Akcasoy, A., Cakir, F., Cansiz, B. S., Secinti, G., & Canberk, B. (2024). Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach. IEEE Access, 12, 45631-45643. https://doi.org/10.1109/access.2024.3381859

Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application domain of aerial swarms, and the need for synchronized communication among ne... Read More about Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach.

Toward the Metaverse Realization in 6G: Orchestration of RIS-Enabled Smart Wireless Environments via Digital Twins (2024)
Journal Article
Masaracchia, A., Van Huynh, D., Alexandropoulos, G. C., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024). Toward the Metaverse Realization in 6G: Orchestration of RIS-Enabled Smart Wireless Environments via Digital Twins. IEEE Internet of Things Magazine, 7(2), 22-28. https://doi.org/10.1109/iotm.001.2300128

Reconfigurable intelligent surfaces (RISs) represent an emerging technology envisioned to overcome some of the late challenges for the development of the sixth-generation (6G) such as reduced end-to-end communication latency and improved network reli... Read More about Toward the Metaverse Realization in 6G: Orchestration of RIS-Enabled Smart Wireless Environments via Digital Twins.

Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem (2023)
Journal Article
Duran, K., Özdem, M., Hoang, T., Duong, T. Q., & Canberk, B. (2023). Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem. IEEE Internet of Things Magazine, 6(4), 138-143. https://doi.org/10.1109/iotm.001.2300113

With the enhanced zero-touch operation and service management capabilities of digital twin technology, network management authorities have started implementing digital twin modeling. They achieve descriptive, predictive, and prescriptive twinning wit... Read More about Age of Twin (AoT): A New Digital Twin Qualifier for 6G Ecosystem.

TwinPort: 5G drone-assisted data collection with digital twin for smart seaports (2023)
Journal Article
Yigit, Y., Nguyen, L. D., Ozdem, M., Kinaci, O. K., Hoang, T., Canberk, B., & Duong, T. Q. (2023). TwinPort: 5G drone-assisted data collection with digital twin for smart seaports. Scientific Reports, 13(1), Article 12310. https://doi.org/10.1038/s41598-023-39366-1

Numerous ports worldwide are adopting automation to boost productivity and modernize their operations. At this point, smart ports become a more important paradigm for handling increasing cargo volumes and increasing operational efficiency. In fact, a... Read More about TwinPort: 5G drone-assisted data collection with digital twin for smart seaports.

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks (2023)
Journal Article
Duran, K., & Canberk, B. (2023). Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks. IEEE Transactions on Green Communications and Networking, 7(4), 1946 - 1956. https://doi.org/10.1109/tgcn.2023.3282326

Topology discovery is the key function of core network management since it utilizes the perception of data and mapping network devices. Nevertheless, it holds operational and resource efficiency complexities. For example, traditional discovery cannot... Read More about Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks.

Digital Twin Evolution for Hard-to-Follow Aeronautical Ad-Hoc Networks in Beyond 5G (2023)
Journal Article
Bilen, T., Canberk, B., & Duong, T. Q. (2023). Digital Twin Evolution for Hard-to-Follow Aeronautical Ad-Hoc Networks in Beyond 5G. IEEE Communications Standards Magazine, 7(1), 4-12. https://doi.org/10.1109/mcomstd.0001.2200040

The aircrafts were top of the places that disrupted the seamless connectivity requirement of 5G and beyond. The Aeronautical Ad-hoc Networks (AANETs) take the attention of both industry and academia to satisfy this connectivity requirement with the l... Read More about Digital Twin Evolution for Hard-to-Follow Aeronautical Ad-Hoc Networks in Beyond 5G.

T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities (2023)
Journal Article
Ak, E., Duran, K., Dobre, O. A., Duong, T. Q., & Canberk, B. (2023). T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities. IEEE Communications Magazine, 61(3), 36-42. https://doi.org/10.1109/mcom.003.2200315

An efficient serving of predictive management and what-if-analysis of smart cities is the only way to achieve a net-zero waste target. With the aid of the enhanced learning capabilities of digital twin, net-zero aims of smart cities can be obtained w... Read More about T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities.

Energy-efficient RL-based aerial network deployment testbed for disaster areas (2023)
Journal Article
Ariman, M., Akkoç, M., Sari, T. T., Erol, M. R., Seçinti, G., & Canberk, B. (2023). Energy-efficient RL-based aerial network deployment testbed for disaster areas. Journal of Communications and Networks, 25(1), 25-34. https://doi.org/10.23919/jcn.2022.000057

Rapid deployment of wireless devices with 5G and beyond enabled a connected world. However, an immediate demand increase right after a disaster paralyzes network infrastructure temporarily. The continuous flow of information is crucial during disaste... Read More about Energy-efficient RL-based aerial network deployment testbed for disaster areas.

Q-learning driven routing for aeronautical Ad-Hoc networks (2022)
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 ultra-dynamic topology and unstable air-to-air link characteristics increase... Read More about Q-learning driven routing for aeronautical Ad-Hoc networks.

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead (2022)
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 (6G) Internet-of-Things (IoT). This paper aims at providing a comprehensive r... Read More about Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead.

Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks (2022)
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 networks. This article proposes a digital twin-enabled intelligent DDoS dete... Read More about Digital Twin-Enabled Intelligent DDoS Detection Mechanism For Autonomous Core Networks.

A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity (2022)
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 points within the aircraft. These access points can allow Internet connectivity... Read More about A Proof Of Concept On Digital Twin-Controlled WiFi Core Network Selection For In-Flight Connectivity.

DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks (2022)
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 control(TPC). However, to accomplish this, an information-gathering process... Read More about DTWN: Q-learning-based Transmit Power Control for Digital Twin WiFi Networks.

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines (2022)
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 pollute our planet. The wind farms monitoring and power generation prediction is... Read More about Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines.

MQTT-CB: Cloud Based Intelligent MQTT Protocol
Presentation / Conference Contribution
Erol, M. R., Bilen, T., Özdem, M., & Canberk, B. (2023, August). MQTT-CB: Cloud Based Intelligent MQTT Protocol. Presented at 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam

The MQTT protocol, which stands for Message Queuing Telemetry Transport, is widely recognized within the IoT community as one of the most frequently utilized communication protocols. Conventional MQTT protocols described in the literature could impro... Read More about MQTT-CB: Cloud Based Intelligent MQTT Protocol.

A distributed user-oriented IoT-based Air Pollution Monitoring
Presentation / Conference Contribution
Jorge, J., Figueroa, F., Shen, H., Ahmadi, H., & Canberk, B. (2023, November). A distributed user-oriented IoT-based Air Pollution Monitoring. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

Environmental health services are paramount for ensuring the Quality of Life (QoL) in cities, with urban design playing a pivotal role. The rapid urbanization of cities globally has exacerbated air pollution, posing severe health risks to residents.... Read More about A distributed user-oriented IoT-based Air Pollution Monitoring.

Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G
Presentation / Conference Contribution
Clayman, S., Karakış, E., Tüker, M., Ak, E., Canberk, B., & Sayıt, M. (2023, November). Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

In the context of 6G, the use of drones / UAVs and satellite is a high priority. One of the main issues is that there is limited and varying bandwidth in these environments, so the question arises: how do we provide high Quality of Experience (QoE) t... Read More about Dynamic Packet Content Construction and Processing for End-to-End Streaming in 6G.

Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks
Presentation / Conference Contribution
Yigit, Y., Panitsas, I., Maglaras, L., Tassiulas, L., & Canberk, B. (2024, June). Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

The rapid evolution of Vehicular Ad-hoc NETworks (VANETs) has ushered in a transformative era for intelligent transportation systems (ITS), significantly enhancing road safety and vehicular communication. However, the intricate and dynamic nature of... Read More about Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks.

A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks
Presentation / Conference Contribution
Ak, E., Kaya, K., Ozaltun, E., Gunduz Oguducu, S., & Canberk, B. (2024, June). A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA... Read More about A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks.

What-if Analysis Framework for Digital Twins in 6G Wireless Network Management
Presentation / Conference Contribution
Ak, E., Canberk, B., Sharma, V., Dobre, O. A., & Duong, T. Q. (2024, May). What-if Analysis Framework for Digital Twins in 6G Wireless Network Management. Presented at The 20th International Wireless Communications & Mobile Computing Conference (IWCMC 2024), Ayia Napa, Cyprus

This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin... Read More about What-if Analysis Framework for Digital Twins in 6G Wireless Network Management.

An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks
Presentation / Conference Contribution
Bolat-Akça, B., Bozkaya-Aras, E., Canberk, B., Buchanan, B., & Schmid, S. (2024, June). An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

The rapid adoption of Internet of Things (IoT) services and the increasingly stringent dependability and performance requirements are transforming next-generation wireless network management towards zero-touch 6G networks. Zero-touch management is al... Read More about An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks.

DTRAN: A Special Use Case of RAN Optimization using Digital Twin
Presentation / Conference Contribution
Tunc, C., Duran, K., Bilgin, B., Kalem, G., & Canberk, B. (2024, June). DTRAN: A Special Use Case of RAN Optimization using Digital Twin. Paper presented at 2024 European Conference on Networks and Communications EuCNC & 6G Summit, Antwerp, Belgium

The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networks and ubiquitous intelligence. Existing solutions in the DT domain pr... Read More about DTRAN: A Special Use Case of RAN Optimization using Digital Twin.

Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks
Presentation / Conference Contribution
Huynh, D. V., Khosravirad, S. R., Sharma, V., Canberk, B., Dobre, O. A., & Duong, T. Q. (2024, December). Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks. Paper presented at 2024 IEEE Global Communications Conference: Wireless Communications (GLOBECOM), Cape Town, South Africa

The advancement of sophisticated communication technologies and robust computing systems has unlocked opportunities for new applications across various domains. While these applications promise enhanced convenience and improved living standards, they... Read More about Digital Twin-enabled Low-Carbon Sustainable Edge Computing for Wireless Networks.

A Data Serialization-based Framework for Efficient IoT Management
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.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Paper presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks
Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., & Canberk, B. (2024, December). Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks. Paper presented at 2024 IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa

This study delves into the integration of Group Signature (GS)-based authentication within Vehicular Edge Twin Networks (VETNs), a critical component in ensuring secure and efficient vehicular communication. By leveraging Proximal Policy Optimization... Read More about Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities
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.

Continuous Transfer Learning for UAV Communication-aware Trajectory Design
Presentation / Conference Contribution
Sun, C., Fontanesi, G., Chetty, S. B., Liang, X., Canberk, B., & Ahmadi, H. (2024, July). Continuous Transfer Learning for UAV Communication-aware Trajectory Design. Presented at The 11th International Conference on Wireless Networks and Mobile Communications (WINCOM 2024), Leeds, England

Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas... Read More about Continuous Transfer Learning for UAV Communication-aware Trajectory Design.

Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization
Presentation / Conference Contribution
Karakaya, S. S., Sarı, T., Ak, E., Canberk, B., & Seçinti, G. (2024, September). Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization. Paper presented at 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain

Coordinated beamforming is one of the crucial improvements for WiFi7. However, to provide sufficient Quality of Service, the corresponding beams have to be aligned accurately. Conventional approaches search for optimal beams in the available codebook... Read More about Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization.

YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring
Presentation / Conference Contribution
Yigit, Y., Huseynov, K., Ahmadi, H., & Canberk, B. (2022, December). YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring. Presented at 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil

With the development of industrialization, air pollution is also steadily on the rise since both industrial and daily activities generate a massive amount of air pollution. Since decreasing air pollution is critical for citizens' health and well-bein... Read More about YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring.

TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports
Presentation / Conference Contribution
Yigit, Y., Kinaci, O. K., Duong, T. Q., & Canberk, B. (2023, May). TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

The idea of next-generation ports has become more apparent in the last ten years-in response to the challenge posed by the rising demand for efficiency and the ever-increasing volume of goods. In this new era of intelligent infrastructure and facilit... Read More about TwinPot: Digital Twin-assisted Honeypot for Cyber-Secure Smart Seaports.

An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks
Presentation / Conference Contribution
Bolat-Akça, B., Bozkaya-Aras, E., Canberk, B., Buchanan, B., & Schmid, S. (2024, June). An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

The rapid adoption of Internet of Things (IoT) services and the increasingly stringent dependability and performance requirements are transforming next-generation wireless network management towards zero-touch 6G networks. Zero-touch management is al... Read More about An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks.

AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities
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.

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
Presentation / Conference Contribution
Kaya, K., Ak, E., Bas, S., Canberk, B., & Gunduz Oguducu, S. (2024, June). X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, Colorado

The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks... Read More about X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System.

Digital Twin-Native AI-Driven Service Architecture for Industrial Networks
Presentation / Conference Contribution
Duran, K., Broadbent, M., Yurdakul, G., & Canberk, B. (2023, December). Digital Twin-Native AI-Driven Service Architecture for Industrial Networks. Presented at 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia

The dramatic increase in the connectivity demand results in an excessive amount of Internet of Things (IoT) sensors. To meet the management needs of these large-scale networks, such as accurate monitoring and learning capabilities , Digital Twin (DT)... Read More about Digital Twin-Native AI-Driven Service Architecture for Industrial Networks.

Digital Twin Middleware for Smart Farm IoT Networks
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.

How to synchronize Digital Twins? A Communication Performance Analysis
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.

Opportunistic RL-based WiFi Access for Aerial Sensor Nodes in Smart City Applications
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.

Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking
Presentation / Conference Contribution
Ak, E., Huseynov, K., Canberk, B., Fahim, M., Dobre, O. A., & Duong, T. Q. (2023, December). Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking. Presented at 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Letterkenny, Ireland

The dairy farming industry plays a pivotal role in the agricultural sector. However, its environmental footprint, especially methane and nitrous oxide emissions, has raised concerns. Historically, the industry has relied on conventional methods to fo... Read More about Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking.

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
Presentation / Conference Contribution
Al-Shareeda, S., Oktug, S. F., Yaslan, Y., Yurdakul, G., & Canberk, B. (2024, January). Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?. Presented at 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA

This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study comprises two phases. In Phase I, we utilize traffic data and AI clus... Read More about Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?.

6G-Enabled DTaaS (Digital Twin as a Service) for Decarbonized Cities
Presentation / Conference Contribution
Duran, K., Ak, E., Yurdakul, G., & Canberk, B. (2023, May). 6G-Enabled DTaaS (Digital Twin as a Service) for Decarbonized Cities. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

With the excessive rise in the environmental pollution in cities, governments have begun to make global agreements to reach zero carbon emission levels. Though collecting data from IoT sensors on smart cities helps to analyze and predict carbon emiss... Read More about 6G-Enabled DTaaS (Digital Twin as a Service) for Decarbonized Cities.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks
Presentation / Conference Contribution
Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023, December). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. Presented at 2023 IEEE Globecom Workshops (GC Wkshps): Workshop on Enabling Security, Trust, and Privacy in 6G Wireless Systems, Kuala Lumpur, Malaysia

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, t... Read More about Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks.

GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks
Presentation / Conference Contribution
Bilen, T., & Canberk, B. (2022, December). GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks. Presented at GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil

Aeronautical Ad-hoc Networks (AANET) is a fairly new concept that connects airplanes via wireless air-to-air links, allowing passengers to access the Internet during a flight. The unstable air-to-air link characteristics and ultra-dynamic topology be... Read More about GRU-Aided Intra-Cluster Topology Mapping for Aeronautical Ad-Hoc Networks.

Enabling Self-Organizing TDMA Scheduling for Aerial Swarms
Presentation / Conference Contribution
Aydın, E. E., Kara, O., Cakir, F., Cansiz, B. S., Seçinti, G., & Canberk, B. (2022, June). Enabling Self-Organizing TDMA Scheduling for Aerial Swarms. Presented at MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, OR, USA

With the proliferation of affordable VTOL drones, application domain of aerial swarms expands everyday, spanning from public drone art to offensive military operations. Orchestrating these systems towards a successful mission, especially in contested... Read More about Enabling Self-Organizing TDMA Scheduling for Aerial Swarms.

Digital Twin-Empowered Resource Allocation for 6G-Enabled Massive IoT
Presentation / Conference Contribution
Bozkaya, E., Canberk, B., & Schmidt, S. (2023, May). Digital Twin-Empowered Resource Allocation for 6G-Enabled Massive IoT. Presented at 2023 IEEE International Conference on Communications Workshops (ICC Workshops), Rome, Italy

6G technology is expected to lead to an unpredictable increase of Internet of Things (IoT) devices. The need for maintaining continuous connectivity of these devices has in turn led to re-thinking of the traditional design of wireless networks. In pa... Read More about Digital Twin-Empowered Resource Allocation for 6G-Enabled Massive IoT.