UAV & Drones
This project focuses on solving various issues related to networking in UAV's including security, charge scheduling etc.
- Vinay Chamola (Senior Member, IEEE)
- Vikas Hassija
- Tejasvi Alladi
- Mohsen Guizani, Qatar University (Fellow, IEEE)
- Dusit Niyato, Nanyang Technological University, Singapore (Fellow, IEEE)
- Richard Yu, Carleton University, Canada (Fellow, IEEE)
Our publications in UAV and drones
V. Hassija, V. Chamola, N. Dara and M. Guizani, "A Distributed Framework for Charge Trading Between UAVs and Charging Stations", IEEE Transactions on Vehicular Technology (Impact Factor: 5.3)
V. Chamola, V. Hassija, V. Garg, M. Guizani, “A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing Its Impact”, IEEE Access, April 2020 (Impact Factor: 4)
T. Alladi, V. Chamola, N. Sahoo and M. Guizani, “Application of Blockchain in Unmanned Aerial Vehicles: A Review”, Vehicular Communications, Elsevier, Jan. 2020 (Impact Factor: 3.5)
V. Hassija, V. Saxena and V. Chamola, “Scheduling Drone Charging for Multi-Drone Network based on Consensus Time-stamp and Game Theory”, Computer Communications, Elsevier, vol. 149, pp. 51-61, Jan 2020 (Impact Factor: 3)
T. Alladi, Naren, V. Chamola and N. Kumar, “PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks,” Computer Communications, Elsevier, Mar. 2020 (Impact Factor: 3)
P. Garg, A. Srinivasan, M. Mandal, P. Narang, V. Chamola and M. Guizani, "ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities", ACM Transactions on Internet Technology, Accepted July 2020 (Impact factor: 3.75)
V. Chamola, P. Kotesh, A. Agarwal, Naren, N. Gupta and M. Guizani, “A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques”, Ad Hoc Networks, Elsevier, Accepted, Oct. 2020 (Impact Factor: 3.643).
T. Alladi, Naren, G. Bansal, V. Chamola and M. Guizani, “SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication”, IEEE Transactions on Vehicular Technology, Accepted, Oct. 2020 (Impact factor: 5.37).
R. Tekchandani, P. Chhikara, N. Kumar, V. Chamola and M. Guizani, DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment, IEEE Internet of Things Journal, Sept. 2020, in press (Impact factor:9.9)
Jain, R. Ramprasad, P. Narang, M. Mandal, V. Chamola, F. Richard Yu and M. Guizani, "AI-enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions", IEEE Network, Accepted March 2021(Impact factor:8.8)