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Outputs (41)

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.

An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks (2021)
Presentation / Conference Contribution
Abdollahi, M., Malekinasab, K., Tu, W., & Bag-Mohammadi, M. (2021, December). An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks. Presented at 2021 IEEE 46th Conference on Local Computer Networks (LCN)

An active jammer could severely degrade the communication quality for wireless networks. Since all wireless nodes openly access the shared media, the harsh effects are exaggerated by retransmission attempts of affected devices. Fast and precise detec... Read More about An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks.

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.

Byzantine Dispersion on Graphs (2021)
Presentation / Conference Contribution
Molla, A. R., Mondal, K., & Moses Jr., W. K. (2021, December). Byzantine Dispersion on Graphs. Presented at 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Singularly Near Optimal Leader Election in Asynchronous Networks (2021)
Presentation / Conference Contribution
Kutten, S., Moses Jr., W. K., Pandurangan, G., & Peleg, D. (2021, December). Singularly Near Optimal Leader Election in Asynchronous Networks. Presented at 35th International Symposium on Distributed Computing (DISC 2021)

Efficient Deterministic Leader Election for Programmable Matter (2021)
Presentation / Conference Contribution
Dufoulon, F., Kutten, S., & Moses Jr., W. K. (2021, December). Efficient Deterministic Leader Election for Programmable Matter. Presented at Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing

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.