Smart City Gnosys

Smart city article details

Title An Aoi-Guaranteed Sensor Data Collection Strategy For Ris-Assisted Uav Communication System
ID_Doc 7550
Authors Yang B.; Yu Y.; Li J.; Xu T.; Deng D.-J.; Chin H.-H.; Li Y.
Year 2023
Published 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
DOI http://dx.doi.org/10.1109/ICCC57788.2023.10233285
Abstract The recently proposed concept of Age of Information (AoI) measures the freshness of the sensor data sampled by remote Internet of Things (IoT) devices, which is an important indicator for the smart city. Unmanned Aerial Vehicles (UAV) communication can significantly reduce the sensor data's AoI due to its high maneuverability. However, the UAV's high energy consumption remains a challenging issue. In this paper, we propose a Reconfigurable Intelligent Surface (RIS) assisted UAV data collection framework to minimize UAV energy consumption. By adjusting the phase of the RIS, the UAV can collect more sensor data simultaneously. A RIS phase alignment method is introduced to reduce the complexity of RIS phase solving. The IoT devices are clustered to discretize UAV trajectory. The optimal clustering scheme to maximize the AoI suppression efficiency is found by adjusting the RIS phase alignment points continuously. Therefore, the AoI requirement can be achieved with a shorter UAV flight distance. Finally, the UAV trajectory is solved by the Deep Q network (DQN) algorithm to guarantee the long-term AoI requirement. Simulation results validate the effectiveness of the proposed method. © 2023 IEEE.
Author Keywords Affinity propagation; age of information; Deep Q network; reconfigurable intelligent surface; unmanned aerial vehicle


Similar Articles


Id Similarity Authors Title Published
9694 View0.887Dhuheir M.; Erbad A.; Al-Fuqaha A.; Hamdaoui B.; Guizani M.Aoi-Aware Intelligent Platform For Energy And Rate Management In Multi-Uav Multi-Ris SystemIEEE Transactions on Network and Service Management (2025)
32085 View0.878Eskandari M.; Savkin A.V.Integrating Uavs And Riss In Future Wireless Networks: A Review And Tutorial On Iots And Vehicular CommunicationsFuture Internet, 16, 12 (2024)
59275 View0.854Tan Z.; Qu H.; Zhao J.; Zhou S.; Wang W.Uav-Aided Data Collection In Self Organized Iot Network For Social Augmented Reality2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019 (2019)
23253 View0.854DIamanti M.; Tsampazi M.; Tsiropoulou E.E.; Papavassiliou S.Energy Efficient Multi-User Communications Aided By Reconfigurable Intelligent Surfaces And UavsProceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021 (2021)
39897 View0.854Tyrovolas D.; Mekikis P.-V.; Tegos S.A.; Diamantoulakis P.D.; Liaskos C.K.; Karagiannidis G.K.On The Performance Of Harq In Iot Networking With Uav-Mounted Reconfigurable Intelligent SurfacesIEEE Vehicular Technology Conference, 2022-June (2022)
31905 View0.851Tamilselvi M.Integrated Solutions For Uav-Assisted Iot Communications: Beam Selection And Wireless Mobile Ad Hoc Backhaul Network Design3rd International Conference on Electronics and Renewable Systems, ICEARS 2025 - Proceedings (2025)