ARNET
Airborne Relaying Networks for Reliable and Secure Mobile Communications
| POCI-01-0145-FEDER-029074 PTDC/EEI-COM/29074/2017 47 months (Jul 2018 to Jun 2022) | |
| Summary: | ARNET aims to design wireless communication protocols to enhance network reliability and security in Airborne Relaying NETworks (ARNET) for Long-Term Evolution (LTE) users on the ground. In particular, the UAV carries computation power, a lightweight LTE base station, and a onboard data processor. The UAVs are autonomously interconnected to each other and are building a multi-hop wireless network. Moreover, the UAVs are essentially mobile access points that provide network coverage and bring high data rates to challenging locations where cellular network layout may be underprovisioned. At a high level, the project will perform cutting-edge research across the following streams: i) Develop an understanding of the wireless characteristics of multi-hop communication links (UAV-to-UAV and UAVto-ground LTE users) with heterogeneous data, e.g., text, image, voice, and video. ii) Develop novel communication protocols for hierarchically organised cooperative UAVs to enhance airborne relaying network reliability with guaranteed network connectivity. iii) Develop practical and secure approaches for the airborne relaying network to evade targeted wireless communication attacks, e.g., jamming and spoofing. iv) Build an airborne relaying network testbed to operationally validate reliability and security with the proposed protocols. The final outcome will be a reliable and secure airborne relaying network, which enables real-time data relay for LTE users on the ground. The proposed protocols will be comprehensively evaluated on the testbed in a real-world environment. It will integrate advanced multi-hop wireless communication for relaying heterogeneous data of LTE users while ensuring service area coverage. Consequently, this project is a significant step towards realising the vision of an airborne relaying network. |
| Funding: | Global: 233KEUR, CISTER: 233KEUR |
| Sponsors: |     |
| Partners: | |
| Contact Person at CISTER: | Kai Li |
17, Jun, 2022
Best Paper Award at IWCMC 2022
28, Oct, 2020
CISTER project enhances reliability and security in UAV data networks for IoT devices
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Journal Papers
Onboard Deep Deterministic Policy Gradients for Online Flight Resource Allocation of UAVs CISTER-TR-200602
Kai Li, Yousef Emami, Wei Ni, Eduardo Tovar, Zhu HanIEEE Networking Letters, IEEE. 1, Sep, 2020, Volume 2, Issue 3, pp 106-110.
Kai Li, Yousef Emami, Wei Ni, Eduardo Tovar, Zhu HanIEEE Networking Letters, IEEE. 1, Sep, 2020, Volume 2, Issue 3, pp 106-110.
Joint Flight Cruise Control and Data Collection in UAV-aided Internet of Things: An Onboard Deep Reinforcement Learning Approach CISTER-TR-200901
Kai Li, Wei Ni, Eduardo Tovar, Mohsen GuizaniIEEE Internet of Things Journal, IEEE. 24, Aug, 2020.Early Access Article
Kai Li, Wei Ni, Eduardo Tovar, Mohsen GuizaniIEEE Internet of Things Journal, IEEE. 24, Aug, 2020.Early Access Article
Onboard Double Q-learning for Airborne Data Capture in Wireless Powered IoT Networks CISTER-TR-200402
Kai Li, Wei Ni, Eduardo TovarIEEE Networking Letters, IEEE. 21, Apr, 2020, Volume 2, Issue 2, pp 71-75.
Kai Li, Wei Ni, Eduardo TovarIEEE Networking Letters, IEEE. 21, Apr, 2020, Volume 2, Issue 2, pp 71-75.
Conference or Workshop Papers/Talks
Deep Reinforcement Learning for Real-Time Trajectory Planning in UAV Networks CISTER-TR-200401
Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani16th International Conference on Wireless Communications & Mobile Computing (IWCMC 2020). 15 to 19, Jun, 2020, pp 958-963. Online.
Kai Li, Wei Ni, Eduardo Tovar, Mohsen Guizani16th International Conference on Wireless Communications & Mobile Computing (IWCMC 2020). 15 to 19, Jun, 2020, pp 958-963. Online.
Deep Q-Learning based Resource Management in UAV-assisted Wireless Powered IoT Networks CISTER-TR-200201
Kai Li, Wei Ni, Eduardo Tovar, Abbas JamalipourIEEE International Conference on Communications (ICC 2020). 7 to 11, Jun, 2020, pp 1-6. Online.
Kai Li, Wei Ni, Eduardo Tovar, Abbas JamalipourIEEE International Conference on Communications (ICC 2020). 7 to 11, Jun, 2020, pp 1-6. Online.
Buffer-Aware Scheduling for UAV Relay Networks with Energy Fairness CISTER-TR-200202
Yousef Emami, Kai Li, Eduardo Tovar91st IEEE Vehicular Technology Conference (VTC2020-Spring). 25 to 28, May, 2020, pp 1-5. Online.
Yousef Emami, Kai Li, Eduardo Tovar91st IEEE Vehicular Technology Conference (VTC2020-Spring). 25 to 28, May, 2020, pp 1-5. Online.
Conference or Workshop Posters/Demos
Multi-Drone Assisted Internet of Things Testbed Based on Bluetooth 5 Communications CISTER-TR-200205
Kai Li, Ning Lu, Pei Zhang, Wei Ni, Eduardo TovarPoster presented in 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020). 21 to 24, Apr, 2020. Online.
Kai Li, Ning Lu, Pei Zhang, Wei Ni, Eduardo TovarPoster presented in 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2020). 21 to 24, Apr, 2020. Online.