Smart City Gnosys

Smart city article details

Title Corner-3D: A Rf Simulator For Uav Mobility In Smart Cities
ID_Doc 16215
Authors Ferlini A.; Wang W.; Pau G.
Year 2019
Published MAGESys 2019 - Proceedings of the 2019 ACM SIGCOMM Workshop on Mobile AirGround Edge Computing, Systems, Networks, and Applications, Part of SIGCOMM 2019
DOI http://dx.doi.org/10.1145/3341568.3342108
Abstract Communication between human-made devices keeps changing. The evolution of the society is tightly linked to the technological and communication development. Today's IoT momentum is fuelling an unstoppable advancement in the communication research field. The emerging communication paradigms outcome of that, represent one of the key enablers of UAVs diffusion in both industrial and leisure applications. Thanks to using cases as infrastructure inspection, surveillance, and rescue, UAVs are quickly becoming one of the pillars of future smart cities. Despite their huge potential, a lot of research and testing is still to be done to fully exploit them. In particular, accurately modeling UAV communications is among the hardest challenges the research community has not properly faced, yet. In this paper, we present CORNER-3D, a lightweight simulator to model the path loss suffered by UAV-To-UAV communications in an urban scenario. © 2019 Copyright held by the owner/author(s).
Author Keywords NS-3; Path loss; Propagation; Simulation; UAV


Similar Articles


Id Similarity Authors Title Published
59315 View0.869Jan M.A.; Hassan S.A.; Jung H.Uavs: Communication Aspects And Cellular Service ProvisioningDrones in Smart-Cities: Security and Performance (2020)
32085 View0.868Eskandari 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)
59686 View0.866Arshi O.; Khan I.U.; Kaushik K.; Iqbal N.; Ullah I.; Slimani K.Unmanned Aerial Vehicles Swarm For Protecting Smart Cities: Future Trends And ChallengesUnmanned Aerial Vehicles Swarm for Protecting Smart Cities: Future Trends and Challenges (2025)
9512 View0.863Negahban A.; Hirai T.Analyzing Packet Reception Ratio In Uav-To-Uav Communication Systems In A Realistic Urban Area Via Stochastic SimulationIEEE Wireless Communications and Networking Conference, WCNC (2025)
21094 View0.861Kumar R.S.; LNC Prakash K.; Suryanarayana G.Drones Enable Iot Applications For Smart CitiesDrone Technology: Future Trends and Practical Applications (2023)
35146 View0.86Lucic M.C.; Bouhamed O.; Ghazzai H.; Khanfor A.; Massoud Y.Leveraging Uavs To Enable Dynamic And Smart Aerial Infrastructure For Its And Smart Cities: An OverviewDrones, 7, 2 (2023)
31905 View0.855Tamilselvi 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)
36884 View0.855Dmitry, S; Oleg, K; Gleb, VMethodology For Estimation The Energy Reserve Of Communication Channels Between Uavs In The Conditions Of "Smart Cities"INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 22, 9 (2022)
34565 View0.855Eskandari M.; Savkin A.V.; Deghat M.Kinodynamic Model-Based Uav Trajectory Optimization For Wireless Communication Support Of Internet Of Vehicles In Smart CitiesDrones, 8, 10 (2024)
6398 View0.853Qadir, Z; Ullah, F; Munawar, HS; Al-Turjman, FAddressing Disasters In Smart Cities Through Uavs Path Planning And 5G Communications: A Systematic ReviewCOMPUTER COMMUNICATIONS, 168 (2021)