Outputs (11)

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.

A Comparative Study of VANET Routing Protocols for Safety Applications (2023)
Presentation / Conference Contribution
Coyle, K., Thomson, C., Wadhaj, I., & Ghaleb, B. (2023, November). A Comparative Study of VANET Routing Protocols for Safety Applications. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh

The rapid advancement of vehicular communication technologies has led to the emergence of Vehicular AdHoc Networks (VANETs), which hold immense potential for improving road safety and traffic efficiency. VANETs enable vehicles to communicate with eac... Read More about A Comparative Study of VANET Routing Protocols for Safety Applications.

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.

The humanitarian supply network: A paradigm problem and a big idea (2023)
Presentation / Conference Contribution
Duddy, D., Stantchev, D., & Weaver, M. (2023, September). The humanitarian supply network: A paradigm problem and a big idea. Paper presented at Logistics Research Network (LRN) Conference 2023, Heriot-Watt University, Edinburgh, Scotland

This research examines whether greater effectiveness and efficiency in humanitarian supply chains can be achieved by adopting a cybernetic approach to information flow. It looks at how, by taking a holistic view of humanitarian supply operations, the... Read More about The humanitarian supply network: A paradigm problem and a big idea.

Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method (2023)
Journal Article
Li, Z., Zhao, L., Min, G., Al-Dubai, A. Y., Hawbani, A., Zomaya, A. Y., & Luo, C. (2023). Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method. IEEE Transactions on Intelligent Transportation Systems, 24(12), 14022 - 14036. https://doi.org/10.1109/tits.2023.3300082

Greedy routing efficiently achieves routing solutions for vehicular networks due to its simplicity and reliability. However, the existing greedy routing schemes have mainly considered simple routing metrics only, e.g., distance based on the local vie... Read More about Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method.

ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology (2023)
Journal Article
Naji, A., Hawbani, A., Wang, X., Al-Gunid, H. M., Al-Dhabi, Y., Al-Dubai, A., Hussain, A., Zhao, L., & Alsamhi, S. H. (2024). ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology. IEEE Transactions on Sustainable Computing, 9(1), 31 - 45. https://doi.org/10.1109/tsusc.2023.3296607

Wireless Power Transfer (WPT) is a promising technology that can potentially mitigate the energy provisioning problem for sensor networks. In order to efficiently replenish energy for these battery-powered devices, designing appropriate scheduling an... Read More about ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology.

MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing (2023)
Journal Article
Zhao, L., Zhang, E., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2024). MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing. IEEE Transactions on Mobile Computing, 23(5), 4259 - 4272. https://doi.org/10.1109/tmc.2023.3289611

Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing (MEC) in road scenarios. One key technology of VEC is task offloading, which allows vehicles to send their computation tasks to the surrounding Roadside Units (RSUs... Read More about MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing.

A Novel Federated Learning Scheme for Generative Adversarial Networks (2023)
Journal Article
Zhang, J., Zhao, L., Yu, K., Min, G., Al-Dubai, A., & Zomya, A. (2024). A Novel Federated Learning Scheme for Generative Adversarial Networks. IEEE Transactions on Mobile Computing, 23(5), 3633-3649. https://doi.org/10.1109/tmc.2023.3278668

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented... Read More about A Novel Federated Learning Scheme for Generative Adversarial Networks.

Blockchain for Cybersecurity in Cyber-Physical Systems (2023)
Book
Maleh, Y., Alazab, M., & Romdhani, I. (Eds.). (2023). Blockchain for Cybersecurity in Cyber-Physical Systems. Springer. https://doi.org/10.1007/978-3-031-25506-9

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems. It presents crucial issues in this field and provides a sample of recent advances and insights into the research pr... Read More about Blockchain for Cybersecurity in Cyber-Physical Systems.

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Preprint / Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. As a consequence, the prompt detection of attacks inIoT environments throug... Read More about A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection.

Improved ICS Honeypot Techniques (2023)
Presentation / Conference Contribution
McColm, D., & Macfarlane, R. (2023, June). Improved ICS Honeypot Techniques. Paper presented at International Conference on Computer Security in the Nuclear World: Security for Safety, Vienna, Austria

As work continues to advance the security posture of ICS systems across the UKNDA estate, opportunities arise to consider the deployment of deception technologies. With high-profile attacks on ICS occurring more frequently, and increasing numbers of... Read More about Improved ICS Honeypot Techniques.