pidrone.pdf (7.22 MB)
Autonomous flying WiFi access point
conference contribution
posted on 2019-05-16, 14:52 authored by Gareth J. Nunns, Yu-Jia Chen, Deng-Kai Chang, Kai-Min Liao, Fung Po TsoFung Po Tso, Lin CuiUnmanned 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.
Funding
This work has been partially supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P004407/2 and EP/P004024/1.
History
School
- Science
Department
- Computer Science
Published in
IEEE Symposium on Computers and Communications (ISCC)Pages
278 - 283Citation
NUNNS, G.J. ... et al., 2019. Autonomous flying WiFi access point. Presented at the IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, June 30th- July 3rd, pp.278-283.Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
© 2019 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.Acceptance date
2019-04-10Publication date
2020-01-27Copyright date
2019ISBN
9781728129990eISSN
2642-7389Publisher version
Language
- en