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Dr Gagangeet Aujla's Outputs (141)

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.

Running Industrial Workflow Applications in a Software-defined Multi-Cloud Environment using Green Energy Aware Scheduling Algorithm (2020)
Journal Article
Wen, Z., Garg, S., Aujla, G. S., Alwasel, K., Puthal, D., Dustdar, S., Zomaya, A. Y., & Rajan, R. (2021). Running Industrial Workflow Applications in a Software-defined Multi-Cloud Environment using Green Energy Aware Scheduling Algorithm. IEEE Transactions on Industrial Informatics, 17(8), 5645-5656. https://doi.org/10.1109/tii.2020.3045690

Industry 4.0 have automated the entire manufacturing sector (including technologies and processes) by adopting Internet of Things and Cloud computing. To handle the work-flows from Industrial Cyber-Physical systems, more and more data centers have be... Read More about Running Industrial Workflow Applications in a Software-defined Multi-Cloud Environment using Green Energy Aware Scheduling Algorithm.

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode (2020)
Journal Article
Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M. (2020). IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode. IEEE Transactions on Vehicular Technology, 69(12), https://doi.org/10.1109/tvt.2020.3035341

Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in wireless network environment is s... Read More about IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode.

Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health care (2020)
Journal Article
Sharma, D., Aujla, G. S., & Bajaj, R. (2021). Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health care. Transactions on Emerging Telecommunications Technologies, 32(7), Article e4159. https://doi.org/10.1002/ett.4159

Internet of Things (IoT) and Data science have revolutionized the entire technological landscape across the globe. Because of it, the health care ecosystems are adopting the cutting‐edge technologies to provide assistive and personalized care to the... Read More about Deep neuro‐fuzzy approach for risk and severity prediction using recommendation systems in connected health care.

Container-based load balancing for energy efficiency in software-defined edge computing environment (2020)
Journal Article
Singh, A., Aujla, G. S., & Bali, R. S. (2021). Container-based load balancing for energy efficiency in software-defined edge computing environment. Sustainable Computing: Informatics and Systems, 30, Article 100463. https://doi.org/10.1016/j.suscom.2020.100463

The workload generated by the Internet of Things (IoT)-based infrastructure is often handled by the cloud data centers (DCs). However, in recent time, an exponential increase in the deployment of the IoT-based infrastructure has escalated the workloa... Read More about Container-based load balancing for energy efficiency in software-defined edge computing environment.

An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment (2020)
Presentation / Conference Contribution
Kumar, N., Dhand, T., Jindal, A., Aujla, G. S., Cao, H., & Yang, L. (2020, December). An Edge-Fog Computing Framework for Cloud of Things in Vehicle to Grid Environment. Presented at 2020 IEEE 21st International Symposium on 'A World of Wireless, Mobile and Multimedia Networks' (WoWMoM)

DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem (2020)
Journal Article
Singh, P., Kaur, A., Aujla, G. S., Batth, R. S., & Kanhere, S. (2021). DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem. IEEE Internet of Things Journal, 8(16), 12569-12577. https://doi.org/10.1109/jiot.2020.3029248

Edge of Things (EoT) enables the seamless transfer of services, storage, and data processing from the cloud layer to edge devices in a large-scale distributed Internet of Things (IoT) ecosystems (e.g., Industrial systems). This transition raises the... Read More about DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem.

COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain (2020)
Journal Article
Aujla, G. S., Barati, M., Rana, O., Dustdar, S., Noor, A., Llanos, J. T., Carr, M., Marikyan, D., Papagiannidis, S., & Ranjan, R. (2020). COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain. IEEE Internet Computing, 24(5), 45-53. https://doi.org/10.1109/mic.2020.3014484

The COVID19 Pandemic has highlighted our dependence on online services (from government, e-commerce/retail, and entertainment), often hosted over external cloud computing infrastructure. The users of these services interact with a web interface rathe... Read More about COM-PACE: Compliance-Aware Cloud Application Engineering Using Blockchain.

Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios (2020)
Presentation / Conference Contribution
Singh, M., Aujla, G. S., Bali, R. S., Vashisht, S., Singh, A., & Jindal, A. (2020, September). Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. Presented at Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, London, United Kingdom

COVID-19 made the world stop, with people trapped inside their homes and governments trying to restrict the public movement. However, to accomplish this, one big problem that emerged and outscored everything else was catering to the day to day necess... Read More about Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios.

A Decoupled Blockchain Approach for Edge-envisioned IoT-based Healthcare Monitoring (2020)
Journal Article
Aujla, G. S., & Jindal, A. (2021). A Decoupled Blockchain Approach for Edge-envisioned IoT-based Healthcare Monitoring. IEEE Journal on Selected Areas in Communications, 39(2), 491-499. https://doi.org/10.1109/jsac.2020.3020655

The in-house health monitoring sensors form a large network of Internet of things (IoT) that continuously monitors and sends the data to the nearby devices or server. However, the connectivity of these IoT-based sensors with different entities leads... Read More about A Decoupled Blockchain Approach for Edge-envisioned IoT-based Healthcare Monitoring.

A Deep Learning-Based Blockchain Mechanism for Secure Internet of Drones Environment (2020)
Journal Article
Singh, M., Aujla, G. S., & Bali, R. S. (2021). A Deep Learning-Based Blockchain Mechanism for Secure Internet of Drones Environment. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4404-4413. https://doi.org/10.1109/tits.2020.2997469

Drones are equipped with high-vision cameras, advanced sensors, and GPS receivers to deliver diverse services from high altitude thereby creating an airborne network. In this environment, physical things (drones, sensors, etc.,) are controlled using... Read More about A Deep Learning-Based Blockchain Mechanism for Secure Internet of Drones Environment.