Autonomous drone control within a Wi-Fi network

Harrington, Peter, Ng, Wai Pang and Binns, Richard (2020) Autonomous drone control within a Wi-Fi network. In: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2020). IEEE, Piscataway, pp. 564-569. ISBN 9781728160511, 9781728167435

[img]
Preview
Text
IEEE_CSN_DSP 2020_ Peter_Harrington.pdf - Accepted Version

Download (178kB) | Preview
Official URL: https://doi.org/10.1109/CSNDSP49049.2020.9249585

Abstract

Over the past ten years there has been a substantial growth in the expenditure of quadcopter drones. Whilst the greatest expense remains with the military, drones are finding increased use in commercial applications such as construction, agriculture, oil and gas and cinematography. However, a major shortcoming of the quadcopter drone is its limited flight time of 30 minutes. Recharging and replacing batteries, significantly impedes and interrupts the desired drone mission. A possible solution is to deploy a number of drones connected and communicating over a network enabling greater area coverage for the same flight time. This paper describes the development of a multiple drone network constructed from commercially available drones. A single autonomous drone is initially constructed which is able to follow a predefined flight plan. The single autonomous drone is developed to enable the formation of a network with other similarly constructed autonomous drones. Flight command codes are able to be transmitted between drones to instruct the receiving drone to fly a particular flight path. Results presented confirm the performance of the controlled flightpath of the autonomous drone and the ability to pass flight command codes between drones across the network.

Item Type: Book Section
Uncontrolled Keywords: autonomous drone, NodeMCU, multiple drone network
Subjects: G900 Others in Mathematical and Computing Sciences
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 10 Mar 2021 10:58
Last Modified: 31 May 2021 14:41
URI: http://nrl.northumbria.ac.uk/id/eprint/45663

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics