Output search results for "digital+twin" (63)

Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines (2022)
Journal Article
Fahim, M., Sharma, V., Cao, T.-V., 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.

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.

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.

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.

Generating real-time detailed ground visualisations from sparse aerial point clouds (2022)
Presentation / Conference Contribution
Murray, A., Mitchell, S., Bradley, A., Waite, E., Ross, C., Jamrozy, J., & Mitchell, K. (2022, December). Generating real-time detailed ground visualisations from sparse aerial point clouds. Paper presented at CVMP 2022: The 19th ACM SIGGRAPH European Conference on Visual Media Production, London

We present an informed kind of atomic rendering primitive, which forms a local adjacency aware classified particle basis decoupled from texture and topology. Suited to visual synthesis of detailed landscapes inferred from sparse unevenly distributed... Read More about Generating real-time detailed ground visualisations from sparse aerial point clouds.

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.

African BIM Report 2020 (2020)
Report
Saka, A., Itanola, M., Olawumi, T., Kori, S., Hamma-adama, M., Akinradewo, O., Fordjour Antwi-Afari, M., Ayinla, K., Banahene Blay, K., Adamu, Z., Kaduma, L., Blay, K., Udeze, O., Kolo, S., Markafi, U., Khalid, B., Yusuf, H., Aghimien, E. I., Olanrewaju, O., Aliu, S., …Mimoun, M. (2020). African BIM Report 2020. Abuja, Nigeria: BIM AFRICA

While it may seem like the adoption of Building Information Modelling (BIM) across Africa is slow-paced, the increasing advocacy efforts from various stakeholders is now resulting in a widespread drive for implementation and deployment. Coupled with... Read More about African BIM Report 2020.

Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study (2021)
Journal Article
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K., & Drikakis, D. (2021). Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study. Applied Sciences, 11(4), Article 1397. https://doi.org/10.3390/app11041397

The plurality of current infotainment devices within the in-vehicle space produces an unprecedented volume of incoming data that overwhelm the typical driver, leading to higher collision probability. This work presents an investigation to an alternat... Read More about Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study.

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.

Wasserstein GAN-based Digital Twin Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks (2023)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2023). Wasserstein GAN-based Digital Twin Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks. IEEE Sensors Journal, 23(12), 13327-13339. https://doi.org/10.1109/JSEN.2023.3272908

In this Internet of Things (IoT) era, the number of devices capable of sensing their surroundings is increasing day by day. Based on the data from these devices, numerous services and systems are now offered where critical decisions depend on the dat... Read More about Wasserstein GAN-based Digital Twin Inspired Model for Early Drift Fault Detection in Wireless Sensor Networks.

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.

Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control (2020)
Presentation / Conference Contribution
Smith, S. C., & Ramamoorthy, S. (2020, October). Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. Presented at 10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics 2020 - Virtual conference, Chile, Valparaiso, Chile

We propose an architecture for training generative models of counterfactual conditionals of the form, `can we modify event A to cause B instead of C?', motivated by applications in robot control. Using an `adversarial training' paradigm, an image-bas... Read More about Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control.

A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing (2023)
Journal Article
Zhao, L., Zhao, Z., Zhang, E., Hawbani, A., Al-Dubai, A., Tan, Z., & Hussain, A. (2023). A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing. IEEE Journal on Selected Areas in Communications, 41(11), 3386-3400. https://doi.org/10.1109/jsac.2023.3310062

Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload the computing tasks to nearby Roadside Units (RSUs) that deploy computing capabili... Read More about A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing.

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.

Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities (2023)
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., Min, G., Zomaya, A., & Alsamhi, S. (2024). Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials, IEEE Communications Society, 26(2), 1080 - 1126. https://doi.org/10.1109/comst.2023.3329472

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting in the fourth industrial revolution, Industry 4.0. T... Read More about Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities.

Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment (2023)
Journal Article
Osunsanmi, T. O., Okafor, C. C., & Ohis Aigbavboa, C. (online). Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment. Journal of Facilities Management, https://doi.org/10.1108/jfm-01-2023-0006

Purpose
The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environme... Read More about Critical success factors for implementing smart maintenance in the fourth industrial revolution era: a bibliometric analysis within the built environment.

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.

Global Application of Digital Twins and Virtual Reality in the Construction Industry: A Systematic Literature Review (2024)
Book Chapter
Kazeem, K. O., Olawumi, T. O., & Fernando, N. (2024). Global Application of Digital Twins and Virtual Reality in the Construction Industry: A Systematic Literature Review. In Innovations, Disruptions, and Future Trends in the Global Construction Industry (19-34). Taylor & Francis. https://doi.org/10.1201/9781003372233-3

When compared to a computer-generated environment with scenes and objects that appear real, virtual reality (VR) immerses the user in their surroundings. A DT is a virtual model created to represent a physical object accurately. The study aims to pre... Read More about Global Application of Digital Twins and Virtual Reality in the Construction Industry: A Systematic Literature Review.

Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review (2023)
Journal Article
Hazmy, A. I., Hawbani, A., Wang, X., Al-Dubai, A., Ghannami, A., Yahya, A. A., Zhao, L., & Alsamhi, S. H. (2024). Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review. IEEE Sensors Journal, 24(4), 4161-4180. https://doi.org/10.1109/jsen.2023.3343428

Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved productivity and efficiency. However, adopting Agriculture 4.0 requires a period of transition and effort. Satellite-Airborne sensing technologies may becom... Read More about Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review.

Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper (2024)
Presentation / Conference Contribution
Sarker, I. H., Janicke, H., Maglaras, L., & Camtepe, S. (2023, October). Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper. Presented at Third International Conference, ARTIIS 2023, Madrid, Spain

As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today’s digital era. Traditional security measures tend to be insufficient to defend against these persistent and dynamic thre... Read More about Data-Driven Intelligence Can Revolutionize Today’s Cybersecurity World: A Position Paper.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks (2023)
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.

Digital Twins: Towards an Overarching Framework for the Built Environment (2024)
Journal Article
Bagireanu, A., Bros-Williamson, J., Duncheva, M., & Currie, J. (2024). Digital Twins: Towards an Overarching Framework for the Built Environment. Architectural and Environmental Engineering, 18(1), 1-11

Digital Twins (DTs) have entered the built environment from more established industries like aviation and manufacturing, although there has never been a common goal for utilising DTs at scale. Their assimilation into the built environment lacked its... Read More about Digital Twins: Towards an Overarching Framework for the Built Environment.

Clever DAE: Compiler Optimizations for Digital Twins at Scale (2023)
Presentation / Conference Contribution
Scuttari, M., Camillucci, N., Cattaneo, D., Agosta, G., Casella, F., Cherubin, S., & Terraneo, F. (2023, May). Clever DAE: Compiler Optimizations for Digital Twins at Scale. Presented at CF '23: 20th ACM International Conference on Computing Frontiers, Bologna, Italy

Modeling and simulation are fundamental activities in engineering to facilitate prototyping, verification and maintenance. Declarative modeling languages allow to simulate physical phenomena by expressing them in terms of Differential and Algebraic E... Read More about Clever DAE: Compiler Optimizations for Digital Twins at Scale.

6G-Enabled DTaaS (Digital Twin as a Service) for Decarbonized Cities (2023)
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 Resource Allocation for 6G-Enabled Massive IoT (2023)
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.

Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas? (2024)
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?.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking (2024)
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.

Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects (2024)
Journal Article
Sarker, I. H., Janicke, H., Mohsin, A., Gill, A., & Maglaras, L. (2024). Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects. ICT Express, 10(4), 935-958. https://doi.org/10.1016/j.icte.2024.05.007

Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical s... Read More about Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects.

A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry (2024)
Journal Article
Rashidi, A., Sarvari, H., Chan, D. W., Olawumi, T. O., & Edwards, D. J. (online). A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry. Engineering, Construction and Architectural Management, https://doi.org/10.1108/ecam-02-2024-0239

Purpose
This study provides a comprehensive analysis of the transition from Building Information Modelling (BIM) to digital twins (DT) in the construction industry. Specifically, the research explores the current state (themes and trends) and future... Read More about A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry.

Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry (2024)
Presentation / Conference Contribution
Marzano, A., & Caggiano, A. (2024, July). Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry. Presented at 18th CIRP ICME '24 Conference, Ischia, Italy

This paper presents a complete digital twin framework with the purpose to aid manufacturing ergonomics and control operations in distillery industry. The focus is on the design of a digital twin framework that manages the material flow in the real sy... Read More about Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry.

Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum (2024)
Presentation / Conference Contribution
Kiss, T., Ullah, A., Terstyanszky, G., Kao, O., Becker, S., Verginadis, Y., Michalas, A., Stankovski, V., Kertesz, A., Ricci, E., Altmann, J., Egger, B., Tusa, F., Kovacs, J., & Lovas, R. (2024, April). Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. Presented at 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Kitakyushu, Japan

Collecting and analysing large amounts of data in the Cloud-to-Edge computing continuum raises novel challenges that traditional centralised orchestration solutions cannot handle efficiently. To overcome the limitations of current centralised applica... Read More about Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum.

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.

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.

Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins (2024)
Presentation / Conference Contribution
Yigit, Y., Kioskli, K., Bishop, L., Chouliaras, N., Maglaras, L., & Janicke, H. (2024, June). Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins. Presented at 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Perth, Australia

This paper delves into enhancing cybersecurity training efficacy through an in-depth examination of gamified learning, behavioural strategies, and the deployment of digital twins. It identifies the critical role of behavioural strategies in bolsterin... Read More about Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and 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.

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.

Digital Twin-Native AI-Driven Service Architecture for Industrial Networks (2023)
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 (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.

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.

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. ITU Journal of Wireless Communications and Cybersecurity, 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.

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. (2024). 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.

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.

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.

YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring (2022)
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 (2023)
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.

Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks (2024)
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.

What-if Analysis Framework for Digital Twins in 6G Wireless Network Management (2024)
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.

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.