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3D Deployment of Multiple UAVs for Emergent On-Demand Offloading

  • Allafi Omran
  • , Lokman Sboui
  • , Michel Kadoch
  • , Zhengwei Chang
  • , Jizhao Lu
  • , Rongke Liu
  • École de technologie supérieure
  • State Grid Sichuan Electric Power Corporation Metering Center

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

Abstract

In this paper, we address the problem of placing the unmanned aerial vehicles (UAVs) in an area covered by a congested or damaged base station (BS). We aim to cover the affected users while maximizing the operator's profit. We proposed to adopt the k-means method associated with the pattern search technique to find the optimal UAVs 3D locations. We show in the simulations, that our approach achieves higher profit and a higher load balancing index among UAVs.

Original languageEnglish
Title of host publication2020 International Wireless Communications and Mobile Computing, IWCMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages692-696
Number of pages5
ISBN (Electronic)9781728131290
DOIs
StatePublished - Jun 2020
Event16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020 - Limassol, Cyprus
Duration: 15 Jun 202019 Jun 2020

Publication series

Name2020 International Wireless Communications and Mobile Computing, IWCMC 2020

Conference

Conference16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020
Country/TerritoryCyprus
CityLimassol
Period15/06/2019/06/20

Keywords

  • K-means
  • Load Balancing
  • Pattern search
  • UAV
  • Unmanned Aerial Vehicle

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