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Optimal positioning of communication relay unmanned aerial vehicles in urban environments

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conference contribution
posted on 2016-10-07, 08:13 authored by Pawel Ladosz, Hyondong Oh, Wen-Hua ChenWen-Hua Chen
This paper proposes a method of finding the optimal position of unmanned aerial vehicles (UAVs) functioning as a communication relay node to improve the network connectivity and communication performance of a team of ground nodes/vehicles. A three-dimensional complex urban environment containing many buildings is considered where the line-of-sight between ground nodes is often blocked. The particle swarm optimisation is used to find the optimal UAV position using three different communication performance metrics depending on the requirement. Numerical simulations are performed to show the advantage of using relay UAVs and the specific metric in sample scenarios. An indoor proof-of-concept experiment is also performed to show the feasibility of the proposed approach in a real time.

Funding

This work was supported by the UK Engineering and Physical Science Research Council (EPSRC) under the Grant EP/J011525/1.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

International Conference on Unmanned Aircraft Systems (ICUAS'16) 2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016

Pages

1140 - 1147

Citation

LADOSZ, P., OH, H. and CHEN, W.-H., 2016. Optimal positioning of communication relay unmanned aerial vehicles in urban environments. International Conference on Unmanned Aircraft Systems (ICUAS 2016), Arlington, VA USA, 7th-10th June 2016, pp. 1140-1147.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Acceptance date

2016-05-06

Publication date

2016

Notes

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781467393331

Language

  • en

Location

Washington, DC, USA

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