Skip to main content

Research Repository

Advanced Search

All Outputs (13)

Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks (2020)
Journal Article
Zhao, L., Zhao, W., Hawbani, A., Al-Dubai, A. Y., Min, G., Zomaya, A., & Gong, C. (2021). Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks. IEEE Transactions on Wireless Communications, 20(5), 2991-3004. https://doi.org/10.1109/twc.2020.3046275

To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constra... Read More about Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks.

Ontology-based Course Teacher Assignment within Universities (2020)
Journal Article
Ashour, G., Al-Dubai, A., & Romdhani, I. (2020). Ontology-based Course Teacher Assignment within Universities. International Journal of Advanced Computer Science and Applications, 11(7), https://doi.org/10.14569/ijacsa.2020.0110787

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within the... Read More about Ontology-based Course Teacher Assignment within Universities.

Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms (2020)
Journal Article
Ghanami, A., Li, . J., Hawbani, A., & Al-Dubai, A. (2021). Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms. Expert Systems with Applications, 170, Article 114525. https://doi.org/10.1016/j.eswa.2020.114525

Initialization is the first and a major step in the implementation of evolutionary algorithms (EAs). Although there are many common general methods to initialize EAs such as the pseudo-random number generator (PRNG), there is no single method that ca... Read More about Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms.

Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks (2020)
Journal Article
Hawbani, A., Wang, X., Zhao, L., Al-Dubai, A., Min, G., & Busaileh, O. (2020). Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks. IEEE/ACM Transactions on Networking, 28(6), 2809-2822. https://doi.org/10.1109/TNET.2020.3020984

This article extends the promising software-defined networking technology to wireless sensor networks to achieve two goals: 1) reducing the information exchange between the control and data planes, and 2) counterbalancing between the sender's waiting... Read More about Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks.

Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks (2020)
Journal Article
Alsarhan, A., Al-Ghuwairi, A.-R., Almalkaw, I., Alauthman, M., & Al-Dubai, A. (2021). Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks. Wireless Personal Communications, 117, 3129-3152 (2021). https://doi.org/10.1007/s11277-020-07797-y

An essential element in the smart city vision is providing safe and secure journeys via intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a significant role in enhancing road safety where vehicles can share road inf... Read More about Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks.

Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks (2020)
Journal Article
Busaileh, O., Hawbani, A., Xingfu, W., Liu, P., Zhao, L., & Al-Dubai, A. (2022). Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 21(4), 1520-1536. https://doi.org/10.1109/TMC.2020.3022403

Wireless sensor networks (WSNs) with a static sink suffer from concentrated data traffic in the vicinity of the sink, which increases the burden on the nodes surrounding the sink, and impels them to deplete their batteries faster than other nodes in... Read More about Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks.

A Novel Generation-Adversarial-Network-Based Vehicle Trajectory Prediction Method for Intelligent Vehicular Networks (2020)
Journal Article
Zhao, L., Liu, Y., Al-Dubai, A. Y., Zomaya, A. Y., Min, G., & Hawbani, A. (2021). A Novel Generation-Adversarial-Network-Based Vehicle Trajectory Prediction Method for Intelligent Vehicular Networks. IEEE Internet of Things Journal, 8(3), 2066-2077. https://doi.org/10.1109/jiot.2020.3021141

Prediction of the future location of vehicles and other mobile targets is instrumental in intelligent transportation system applications. In fact, networking schemes and protocols based on machine learning can benefit from the results of such accurat... Read More about A Novel Generation-Adversarial-Network-Based Vehicle Trajectory Prediction Method for Intelligent Vehicular Networks.

Evaluation of Ensemble Learning for Android Malware Family Identification (2020)
Journal Article
Wylie, J., Tan, Z., Al-Dubai, A., & Wang, J. (2020). Evaluation of Ensemble Learning for Android Malware Family Identification. Journal of Guangzhou University (Natural Science Edition), 19(4), 28-41

Every Android malware sample generally belongs to a specific family that performs a similar set of actions and characteristics. Having the ability to effectively identify Android malware families can assist in addressing the damage caused by malware.... Read More about Evaluation of Ensemble Learning for Android Malware Family Identification.

Lightweight edge authentication for software defined networks (2020)
Journal Article
Almaini, A., Al-Dubai, A., Romdhani, I., Schramm, M., & Alsarhan, A. (2021). Lightweight edge authentication for software defined networks. Computing, 103, https://doi.org/10.1007/s00607-020-00835-4

OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While... Read More about Lightweight edge authentication for software defined networks.

A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model (2020)
Journal Article
Lin, N., Fu, L., Zhao, L., Min, G., Al-Dubai, A., & Gacanin, H. (2020). A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model. IEEE Transactions on Wireless Communications, 19(7), 4919-4933. https://doi.org/10.1109/TWC.2020.2988363

Drones can be used in many assistance roles in complex communication situations and play key roles as aerial wireless relays to help terrestrial network communications. Although a great deal of emphasis has been placed on the drone-assisted networks,... Read More about A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model.

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges (2020)
Journal Article
Zhao, L., Al-Dubai, A., Zomaya, A. Y., Min, G., Hawbani, A., & Li, J. (2021). Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges. IEEE Intelligent Transportation Systems Magazine, 13(4), 217-226. https://doi.org/10.1109/MITS.2019.2953557

Software-defined vehicular networks (SDVN) is a promising technology to overcome the limitations of current vehicular networking. However, existing vehicular routing schemes are not equipped to handle communication in SDVNs. In addition, routing sche... Read More about Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges.

Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL) (2020)
Journal Article
Wadhaj, I., Ghaleb, B., Thomson, C., Al-Dubai, A., & Buchanen, B. (2020). Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL). IEEE Access, 8, 43665-43675. https://doi.org/10.1109/ACCESS.2020.2977476

Destination Advertisement Objects (DAOs) are sent upward by RPL nodes toward the DODAG root, to build the downward routing paths carrying traffic from the root to its associated nodes. This routing mechanism can be exploited by a malicious node perio... Read More about Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL).

Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications (2020)
Journal Article
Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., Khan, I., Shah, S. Y., & Alsarhan, A. (2020). Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications. IEEE Access, 8, 29395-29406. https://doi.org/10.1109/access.2020.2969750

Wireless communication using existing coding models poses several challenges for RF signals due to
multipath scattering, rapid fluctuations in signal strength and path loss effect. Unlike existing works, this
study presents a novel cod... Read More about Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications.