Outputs (29)

Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges (2025)
Journal Article
Abdel Aziz, S., Wang, X., Hawbani, A., Qureshi, . B., Alsamhi, S. H., Alabsi, A., Zhao, L., Al-Dubai, A., & Ismail, . A. (online). Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2025.3549414

Recently, a plethora of promising green energy provisioning technologies has been discussed in the orientation of prolonging the lifetime of energy-limited devices (e.g., sensor nodes). Wireless rechargeable sensor networks (WRSNs) have emerged among... Read More about Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges.

Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC (2025)
Journal Article
Zhao, L., Li, L., Tan, Z., Hawbani, A., He, Q., & Liu, Z. (online). Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC. IEEE Internet of Things, https://doi.org/10.1109/jiot.2025.3546915

Connected and autonomous vehicles (CAVs) are an important paradigm of intelligent transportation systems. Cooperative perception (CP) and vehicular edge computing (VEC) enhance CAVs’ perception capacity of the region of interest (RoI) while alleviati... Read More about Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC.

Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing (2025)
Journal Article
Zhao, L., Zhao, Z., Hawbani, A., Liu, Z., Tan, Z., & Yu, K. (online). Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2025.3533091

Mobile Edge Computing (MEC) is a distributed computing paradigm that provides computing capabilities at the periphery of mobile cellular networks. This architecture empowers Mobile Users (MUs) to offload computation-intensive applications to large-sc... Read More about Dynamic Caching Dependency-Aware Task Offloading in Mobile Edge Computing.

IoT Authentication Protocols: Challenges, and Comparative Analysis (2025)
Journal Article
Alsheavi, A., Hawbani, A., Othman, W., Wang, X., Qaid, G. R. S., Zhao, L., Al-Dubai, A., Liu, Z., Ismail, A., Haveri, R. H., Alsamhi, S. H., & Al-Qaness, M. A. A. (2025). IoT Authentication Protocols: Challenges, and Comparative Analysis. ACM computing surveys, 57(5), Article 116. https://doi.org/10.1145/3703444

In the ever-evolving information technology landscape, the Internet of Things (IoT) is a groundbreaking concept that bridges the physical and digital worlds. It is the backbone of an increasingly sophisticated interactive environment, yet it is a sub... Read More about IoT Authentication Protocols: Challenges, and Comparative Analysis.

An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata (2024)
Journal Article
Rizwan, M., Hawbani, A., Xingfu, W., Anjum, A., Angin, P., Sever, Y., Chen, S., Zhao, L., & Al-Dubai, A. (online). An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata. IEEE Transactions on Big Data, https://doi.org/10.1109/TBDATA.2024.3495497

A data publishing deal conducted with anonymous microdata can preserve the privacy of people. However, anonymizing data with multiple records of an individual (1:M dataset) is still a challenging problem. After anonymizing the 1:M microdata, the vert... Read More about An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata.

CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems (2024)
Journal Article
Zhao, L., Mao, C., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2025). CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems. IEEE Transactions on Mobile Computing, 24(3), 2331-2345. https://doi.org/10.1109/tmc.2024.3492148

As a promising vehicular communication technology, Cellular Vehicle-to-Everything (C-V2X) is expected to ensure the safety and convenience of Intelligent Transportation Systems (ITS) by providing global road information. However, it is difficult to o... Read More about CAST: Efficient Traffic Scenario Inpainting in Cellular Vehicle-to-Everything Systems.

A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization (2024)
Journal Article
Zhao, L., Li, S., Tan, Z., Hawbani, A., Timotheou, S., & Yu, K. (2025). A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization. IEEE Transactions on Computers, 74(2), 442 - 454. https://doi.org/10.1109/tc.2024.3483636

Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing terrestrial mobile computing in the dynamic environment. In this research field, throughput, the number of completed tasks and latency are critical evaluation indi... Read More about A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization.

Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing (2024)
Journal Article
Zhao, L., Li, T., Meng, G., Hawbani, A., Min, G., Al-Dubai, A., & Zomaya, A. (2024). Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing. IEEE Transactions on Computers, 73(12), 2868-2881. https://doi.org/10.1109/TC.2024.3457729

Vehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the co... Read More about Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing.

User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets (2024)
Journal Article
Lin, N., Wang, Y., Zhang, E., Wan, S., Al-Dubai, A., & Zhao, L. (online). User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3441606

With the proliferation of mobile applications, the explosion of mobile data traffic imposes a significant burden on backhaul links with limited capacity in heterogeneous cellular networks (HetNets). To alleviate this challenge, content caching based... Read More about User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets.

A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol (2024)
Journal Article
Alahmadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (2024). A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol. IEEE Transactions on Industrial Informatics, 20(10), 12284-12293. https://doi.org/10.1109/tii.2024.3417308

LoRa networks represent a promising technology for IoT applications due to their long range, low cost, and energy efficiency. However, their ALOHA-based access method and duty cycle restrictions can limit their scalability and reliability in high-den... Read More about A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol.

Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles (2024)
Journal Article
Zhao, L., Qian, H., Hawbani, A., Al-Dubai, A. Y., Tan, Z., Yu, K., & Zomaya, A. Y. (2024). Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles. IEEE Transactions on Intelligent Transportation Systems, 25(10), 15065-15080. https://doi.org/10.1109/TITS.2024.3398602

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fost... Read More about Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles.

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer (2024)
Journal Article
Wang, F., Shi, X., Yang, F., Song, R., Li, Q., Tan, Z., & Wang, C. (2024). MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. Journal of Information Security and Applications, 83, Article 103784. https://doi.org/10.1016/j.jisa.2024.103784

The proliferation of malware has exhibited a substantial surge in both quantity and diversity, posing significant threats to the Internet and indispensable network applications. The accurate and effective classification makes a pivotal role in defend... Read More about MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN (2024)
Journal Article
Makanda, K., Hawbani, A., Wang, . X., Naji, A., Al-Dubai, A., Zhao, L., & Alsamhi, S. H. (2025). Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN. IEEE Transactions on Sustainable Computing, 10(1), 57-69. https://doi.org/10.1109/TSUSC.2024.3391316

Wireless Sensor Networks (WSNs) are used to sense and monitor physical conditions in various services and applications.
However, there are a number of challenges in deploying WSNs, especially those pertaining to energy replenishment. Using the curre... Read More about Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN.

Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review (2024)
Journal Article
Ghamari, M., See, C. H., Hughes, D., Mallick, T., Reddy, K. S., Patchigolla, K., & Sundaram, S. (2024). Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review. Energy and Buildings, 312, Article 114164. https://doi.org/10.1016/j.enbuild.2024.114164

Phase Change Materials (PCMs) present cutting-edge technology with substantial promise for advancing sustainable and energy-efficient cooling in buildings. These materials can absorb and release latent heat during phase transitions, facilitating ther... Read More about Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review.

Wireless Power Transfer Technologies, Applications, and Future Trends: A Review (2024)
Journal Article
Alabsi, A., Hawbani, A., Wang, X., Al-Dubai, A., Hu, J., Aziz, S. A., Kumar, S., Zhao, L., Shvetsov, A. V., & Alsamhi, S. H. (2025). Wireless Power Transfer Technologies, Applications, and Future Trends: A Review. IEEE Transactions on Sustainable Computing, 10(1), 1-17. https://doi.org/10.1109/TSUSC.2024.3380607

Wireless Power Transfer (WPT) is a disruptive technology that allows wireless energy provisioning for energy- limited IoT devices, thus decreasing the over-reliance on batteries and wires. WPT could replace conventional energy provisioning (e.g., ene... Read More about Wireless Power Transfer Technologies, Applications, and Future Trends: A Review.

Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks (2024)
Journal Article
Bhatti, D. S., Saleem, S., Ali, Z., Park, T.-J., Suh, B., Kamran, A., Buchanan, W. J., & Kim, K.-I. (2024). Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks. IEEE Access, 12, 41499-41516. https://doi.org/10.1109/access.2024.3377144

Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from malicious energy drainage attacks, particularly those directed at the routing layer. The complexity increases during critical operations like cluster head select... Read More about Design and Evaluation of Memory Efficient Data Structure Scheme for Energy Drainage Attacks in Wireless Sensor Networks.

SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT (2024)
Journal Article
Alshehri, M. S., Ahmad, J., Almakdi, S., Qathrady, M. A., Ghadi, Y. Y., & Buchanan, W. J. (2024). SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT. IEEE Access, 12, https://doi.org/10.1109/access.2024.3371992

The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion Detection Systems (IDS), that are accurate, lightweigh... Read More about SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT.

STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation (2024)
Journal Article
Fang, M., Yu, L., Xie, H., Tan, Q., Tan, Z., Hussain, A., Wang, Z., Li, J., & Tian, Z. (2024). STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation. IEEE Transactions on Computational Social Systems, 11(4), 5354 - 5366. https://doi.org/10.1109/tcss.2024.3356549

The impressive development of facial manipulation techniques has raised severe public concerns. Identity-aware methods, especially suitable for protecting celebrities, are seen as one of promising face forgery detection approaches with additional ref... Read More about STIDNet: Identity-Aware Face Forgery Detection with Spatiotemporal Knowledge Distillation.

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.

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.