ARNET
| 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 |
Best Paper Award at IWCMC 2022
The paper entitled "An Experimental Study of Two-way Ranging Optimization in UWB-based Simultaneous Localization and Wall-Mapping Systems", presented by CISTER researcher Kai Li, at the IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2022) has earned the "Best Paper Award”.
Under the theme of "Intelligent and Secure Communications" IWCMC 2022 targets a wide spectrum of the state-of-the-art as well as emerging topics pertaining to wireless communications, mobile computing, machine learning, and applications of communications and networks. IWCMC 2022 attracts a large number of high-quality submissions and stimulates the cutting-edge research discussions among many academic pioneering researchers/scientists and industrial engineers/leaders from all around the world.
The paper authored by Kai Li, Wei Ni, Bo Wei, and Mohsen Guizani, proposed a new ultra-wideband (UWB)-based simultaneous localization and wall-mapping (SLAM) system, which adopts two-way ranging optimization on UWB anchor and tag nodes to track the target's real-time movement in an unknown area. An experimental testbed was built based on off-the-shelf UWB hardware. The localization accuracy of the proposed SLAM system was evaluated, where the difference between the estimated location and the ground truth trajectory is less than 15cm.
CISTER project enhances reliability and security in UAV data networks for IoT devices
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, Wei Ni, Eduardo Tovar, Mohsen GuizaniIEEE Internet of Things Journal, IEEE. 24, Aug, 2020.Early Access Article
Kai Li, Wei Ni, Eduardo TovarIEEE Networking Letters, IEEE. 21, Apr, 2020, Volume 2, Issue 2, pp 71-75.
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, Abbas JamalipourIEEE International Conference on Communications (ICC 2020). 7 to 11, Jun, 2020, pp 1-6. Online.
Yousef Emami, Kai Li, Eduardo Tovar91st IEEE Vehicular Technology Conference (VTC2020-Spring). 25 to 28, May, 2020, pp 1-5. 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.