Traffic Flow Modeling for UAV-Enabled Wireless Networks

Abderrahmane Abada, Bin Yang, Tarik Taleb

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

49 Downloads (Pure)


This paper investigates traffic flow modeling issue in multi-services oriented unmanned aerial vehicle (UAV)-enabled wireless networks, which is critical for supporting future various applications of such networks. We propose a general traffic flow model for multi-services oriented UAV-enable wireless networks.
Under this model, we first classify the network services into three subsets: telemetry, Internet of Things (IoT), and streaming data. Based on the Pareto distribution, we then partition all UAVs into three subgroups with different network usage. We further determine the number of packets for different network services and total data size according to the packet arrival rate for the nine segments, each of which represents one map relationship between a subset of services and a subgroup of UAVs. Simulation results are provided to illustrate that the number of packets and the data size predicted by our traffic model can well match with these under a real scenario.
Original languageEnglish
Title of host publicationProceedings of the 2020 International Conference on Networking and Network Applications
Number of pages6
ISBN (Electronic)978-1-7281-8954-3
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Networking and Network Applications - Haikou, China
Duration: 11 Dec 202014 Dec 2020


ConferenceInternational Conference on Networking and Network Applications
Abbreviated titleNANA


  • UAV system
  • multi-services
  • traffic flow


Dive into the research topics of 'Traffic Flow Modeling for UAV-Enabled Wireless Networks'. Together they form a unique fingerprint.

Cite this