System Design of an Open-Source Cloud-Based Framework for Internet of Drones Application

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Abstract

Unmanned Aerial Vehicles (UAV) are increasingly gaining interest in Internet of Drones (IoD) applications for automatizing the labor-intensive tasks. They are used in various areas such as infrastructure inspection. However, UAVs have limited energy resources and computational processing capabilities, which prevents them from running applications onboard and accessing the internet for gaining knowledge about their mission. In order to address these challenges imposed by limited resource on the drone, we propose a new cloud system infrastructure for building open-source IoD applications. We have designed a client-server architecture which hosts the drone as a client and the cloud as a scalable server. For validating the developed IoD application, an open-source drone simulator and flight controller are adopted to perform the tests. The overall architecture of a drone-cloud framework is presented along with a use case to show the applicability of the proposed framework.

Original languageEnglish
Title of host publication2019 22nd Euromicro Conference on Digital System Design (DSD)
EditorsNikos Konofaos, Paris Kitsos
PublisherIEEE
Publication date1. Aug 2019
Pages572-579
ISBN (Print)978-1-7281-2863-4
ISBN (Electronic)9781728128610
DOIs
Publication statusPublished - 1. Aug 2019
Event22nd Euromicro Conference on Digital System Design, DSD 2019 - Kallithea, Chalkidiki, Greece
Duration: 28. Aug 201930. Aug 2019

Conference

Conference22nd Euromicro Conference on Digital System Design, DSD 2019
CountryGreece
CityKallithea, Chalkidiki
Period28/08/201930/08/2019

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Keywords

  • Cloud computing
  • Docker
  • Drone
  • Kubernetes cluster
  • ROS/ROS2
  • Simulation

Cite this

Mehrooz, G., Ebeid, E., & Schneider-Kamp, P. (2019). System Design of an Open-Source Cloud-Based Framework for Internet of Drones Application. In N. Konofaos, & P. Kitsos (Eds.), 2019 22nd Euromicro Conference on Digital System Design (DSD) (pp. 572-579). IEEE. https://doi.org/10.1109/DSD.2019.00087