UAV Trajectory Design for UAV-2-GV Communication in VANETs

Aunas Manzoor, Tri Nguyen Dang, Choong Seon Hong

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

10 Citations (Scopus)

Abstract

Owing to the flexibility, automation and quick deployment features of unmanned aerial vehicles (UAVs), they can be used to deliver the data to the ground vehicles (GVs) efficiently in vehicular area networks (VENETs). However, the heterogeneity, high mobility and network dynamics of VANETs pose significant challenges for such communication. In this paper, we propose a trajectory design scheme for efficient UAV2-GV communication in vehicular area networks (VANETs). Specifically, given the high traffic routes of a dense city, the UAV trajectory is optimized to serve the maximum number of GVs. The trajectory design problem is formulated under the constraints of limited UAV power and association capacities. Moreover, a simplified trajectory design scheme is proposed by exploiting the known traffic road lengths. After the deployment of the UAV according to the designed trajectory, optimal vehicle association and power allocation is performed. Simulation results reveal that the proposed UAV-assisted VANETs can deliver better rates as compared to the traditional terrestrial base-station (TBS)-based networks.

Original languageEnglish
Title of host publication35th International Conference on Information Networking, ICOIN 2021
PublisherIEEE Computer Society
Pages219-224
Number of pages6
ISBN (Electronic)9781728191003
DOIs
Publication statusPublished - 13 Jan 2021
Event35th International Conference on Information Networking, ICOIN 2021 - Jeju Island, Korea, Republic of
Duration: 13 Jan 202116 Jan 2021

Publication series

NameInternational Conference on Information Networking
Volume2021-January
ISSN (Print)1976-7684

Conference

Conference35th International Conference on Information Networking, ICOIN 2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/01/2116/01/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Trajectory
  • UAV
  • V2V
  • VANETs

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