Autonomous Flying WiFi Access Point

Gareth J. Nunns, Yu Jia Chen, Deng Kai Chang, Kai Min Liao, Fung Po Tso, Lin Cui

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

8 Scopus citations

Abstract

Unmanned aerial vehicles (UAVs), aka drones, are widely used civil and commercial applications. A promising one is to use the drones as relying nodes to extend the wireless coverage. However, existing solutions only focus on deploying them to predefined locations. After that, they either remain stationary or only move in predefined trajectories throughout the whole deployment. In the open outdoor scenarios such as search and rescue or large music events, etc., users can move and cluster dynamically. As a result, network demand will change constantly over time and hence will require the drones to adapt dynamically. In this paper, we present a proof of concept implementation of an UAV access point (AP) which can dynamically reposition itself depends on the users movement on the ground. Our solution is to continuously keeping track of the received signal strength from the user devices for estimating the distance between users devices and the drone, followed by trilateration to localise them. This process is challenging because our on-site measurements show that the heterogeneity of user devices means that change of their signal strengths reacts very differently to the change of distance to the drone AP. Our initial results demonstrate that our drone is able to effectively localise users and autonomously moving to a position closer to them.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129990
DOIs
StatePublished - Jun 2019
Event2019 IEEE Symposium on Computers and Communications, ISCC 2019 - Barcelona, Spain
Duration: 29 Jun 20193 Jul 2019

Publication series

NameProceedings - IEEE Symposium on Computers and Communications
Volume2019-June
ISSN (Print)1530-1346

Conference

Conference2019 IEEE Symposium on Computers and Communications, ISCC 2019
Country/TerritorySpain
CityBarcelona
Period29/06/193/07/19

Keywords

  • Drone based user localisation
  • Flying access point
  • UAV access point

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