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Dr Gagangeet Aujla's Outputs (19)

ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid (2021)
Journal Article
Zhang, P., Wang, C., Aujla, G. S., & Batth, R. S. (2021). ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid. IEEE Wireless Communications, 28(6), 62-69. https://doi.org/10.1109/mwc.011.2000431

The smart grid must ensure that power providers can obtain substantial benefits by selling energy, while at the same time, they need to consider the cost of consumers. To realize this win-win situation, the smart grid relies on dynamic pricing mechan... Read More about ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid.

Leveraging Blockchain for Secure Drone-to-Everything Communications (2021)
Journal Article
Aujla, G. S., Vashisht, S., Garg, S., Kumar, N., & Kaddoum, G. (2021). Leveraging Blockchain for Secure Drone-to-Everything Communications. IEEE Communications Standards Magazine, 5(4), 80-87. https://doi.org/10.1109/mcomstd.0001.2100012

The popularity of drones has increased their deployment in a wide range of applications like commercial delivery, industrial systems, monitoring, surveillance, and surveys. The facility of fast deployment and cost effectiveness make drones a potentia... Read More about Leveraging Blockchain for Secure Drone-to-Everything Communications.

Blockchain for the Internet of Drones: Applications, Challenges, and Future Directions (2021)
Journal Article
Singh, M. P., Aujla, G. S., & Bali, R. S. (2021). Blockchain for the Internet of Drones: Applications, Challenges, and Future Directions. IEEE Internet of Things Magazine, 4(4), 47-53. https://doi.org/10.1109/iotm.001.2100071

Drones, or unmanned aerial vehicles (UAVs), which started as a byproduct of military research, are passing through their most popular period and are being used on broader horizons, and more possibilities are being explored in commercial applications.... Read More about Blockchain for the Internet of Drones: Applications, Challenges, and Future Directions.

Drone-Edge Coalesce for Energy-Aware and Sustainable Service Delivery for Smart City Applications (2021)
Journal Article
Ren, X., Vashisht, S., Aujla, G. S., & Zhang, P. (2022). Drone-Edge Coalesce for Energy-Aware and Sustainable Service Delivery for Smart City Applications. Sustainable Cities and Society, 77, Article 103505. https://doi.org/10.1016/j.scs.2021.103505

In a typical smart city, drones can collect (or sense) massive amount of data, that is sent to a computing capability for further analysis to make useful decision making without human intervention. This data is relayed to the Cloud for processing and... Read More about Drone-Edge Coalesce for Energy-Aware and Sustainable Service Delivery for Smart City Applications.

Privacy & Cloud Services: Are We There Yet? (2021)
Presentation / Conference Contribution
Marikyan, D., Llanos, J., Barati, M., Aujla, G. S., Li, Y., Adu-Duodu, K., Tahir, S., Rana, O., Papagiannidis, S., Ranjan, R., & Carr, M. (2021, August). Privacy & Cloud Services: Are We There Yet?. Presented at 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE), Oxford, United Kingdom

The General Data Protection Regulation (GDPR) remains an important requirement for many electronic services which utilise user data. GDPR compliance verification for a cloud provider is aimed to confirm that personal data provided by a user is shared... Read More about Privacy & Cloud Services: Are We There Yet?.

Software-Defined Content Dissemination Scheme for Internet of Healthcare Vehicles in COVID-Like Scenarios (2021)
Journal Article
Gulati, A., Aujla, G. S., Kumar, N., Garg, S., & Kaddoum, G. (2021). Software-Defined Content Dissemination Scheme for Internet of Healthcare Vehicles in COVID-Like Scenarios. IEEE Internet of Things Magazine, 4(3), 34-40. https://doi.org/10.1109/iotm.2011.2000156

The exponential increase in the number of connected devices in the network led to a paradigm shift from the traditional host-centric IP-based network architecture to a content-based paradigm, which eliminates the address-content bindings in tradition... Read More about Software-Defined Content Dissemination Scheme for Internet of Healthcare Vehicles in COVID-Like Scenarios.

Security in IoT-Driven Mobile Edge Computing: New Paradigms, Challenges, and Opportunities (2021)
Journal Article
Garg, S., Kaur, K., Kaddoum, G., Garigipati, P., & Aujla, G. S. (2021). Security in IoT-Driven Mobile Edge Computing: New Paradigms, Challenges, and Opportunities. IEEE Network, 35(5), 298-305. https://doi.org/10.1109/mnet.211.2000526

With the exponential growth in the number of connected devices, in recent years there has been a paradigm shift toward mobile edge computing. As a promising edge technology, it pushes mobile computing, network control, and storage to the network edge... Read More about Security in IoT-Driven Mobile Edge Computing: New Paradigms, Challenges, and Opportunities.

Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare (2021)
Journal Article
Barati, M., Aujla, G. S., Llanos, J. T., Duodu, K. A., Rana, O. F., Carr, M., & Rajan, R. (2022). Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare. IEEE Transactions on Industrial Informatics, 18(7), 4808-4819. https://doi.org/10.1109/tii.2021.3100152

Emerging multi-tenant cloud computing ecosystems allow multiple applications to share virtualised pool of computing and networking resources. As a result such ecosystems are becoming increasingly prone to data privacy concerns (personal data leakages... Read More about Privacy-Aware Cloud Auditing for GDPR Compliance Verification in Online Healthcare.

Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning (2021)
Journal Article
Cao, H., Aujla, G. S., Garg, S., Kaddoum, G., & Yang, L. (2021). Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning. IEEE Communications Standards Magazine, 5(2), 20-27. https://doi.org/10.1109/mcomstd.001.2000026

n the 5G era, heterogeneous networks (Het-Nets) are designed for achieving data rates and customized service demands. To realize this, virtualization technologies are widely accepted as enablers for implementing 5G HetNets, aimed at managing and sche... Read More about Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning.

Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0 (2021)
Journal Article
Zhang, P., Gan, P., Aujla, G. S., & Batth, R. S. (2023). Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0. IEEE Internet of Things Journal, 10(4), 2784-2792. https://doi.org/10.1109/jiot.2021.3088577

In the 5G era, the problem of data islands in various industries restricts the development of artificial intelligence technology, so data sharing is proposed. High-quality data sharing directly affects the effectiveness of machine learning models, bu... Read More about Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0.

Service vs Protection: A Bayesian Learning Approach for Trust Provisioning in Edge of Things Environment (2021)
Journal Article
Singh, P., Kaur, A., Batth, R. S., Aujla, G. S., & Masud, M. (2022). Service vs Protection: A Bayesian Learning Approach for Trust Provisioning in Edge of Things Environment. IEEE Internet of Things Journal, 9(22), 22061-22070. https://doi.org/10.1109/jiot.2021.3082272

Edge of Things (EoT) technology enables end-users participation with smart-sensors and mobile devices (such as smartphones, wearable devices) to the smart devices across the smart city. Trust management is the main challenge in EoT infrastructure to... Read More about Service vs Protection: A Bayesian Learning Approach for Trust Provisioning in Edge of Things Environment.

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications (2021)
Journal Article
Ren, X., Aujla, G. S., Jindal, A., Batth, R. S., & Zhang, P. (2023). Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications. IEEE Internet of Things Journal, 10(3), 2112 - 2120. https://doi.org/10.1109/jiot.2021.3064468

Financial Technology have revolutionized the delivery and usage of the autonomous operations and processes to improve the financial services. However, the massive amount of data (often called as big data) generated seamlessly across different geograp... Read More about Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications.

Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation (2021)
Journal Article
Garg, S., Aujla, G. S., Erbad, A., Rodrigues, J. J., Chen, M., & Wang, X. (2021). Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation. IEEE Network, 35(1), 16-19. https://doi.org/10.1109/mnet.2021.9355047

Nowadays the deployment of drones/UAVs is not just limited to military and defense establishments; they are also widely deployed in geo-dispersed applications (environmental monitoring, rescue operation monitoring, road and traffic surveillance, natu... Read More about Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation.

VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning (2021)
Journal Article
Wang, C., Batth, R. S., Zhang, P., Aujla, G. S., Duan, Y., & Ren, L. (2021). VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning. Computing, 103(6), 1061-1083. https://doi.org/10.1007/s00607-020-00883-w

The rapid development and deployment of network services has brought a series of challenges to researchers. On the one hand, the needs of Internet end users/applications reflect the characteristics of travel alienation, and they pursue different pers... Read More about VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning.