Please use this identifier to cite or link to this item: doi:10.22028/D291-37873
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Title: Latency-aware and -predictable Communication with Open Protocol Stacks for Remote Drone Control
Author(s): Bohmer, Marlene
Schmidt, Andreas
Gil Pereira, Pablo
Herfet, Thorsten
Language: English
Title: 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)
Pages: 304-311
Publisher/Platform: IEEE
Year of Publication: 2020
Place of publication: Piscataway, NJ
Place of the conference: Marina del Rey, CA, USA
Free key words: Communication Architectures
Communication Protocols
Drone Networks
Latency Evaluation
DDC notations: 004 Computer science, internet
621.3 Electrical engineering, electronics
Publikation type: Conference Paper
Abstract: In order to create cooperating swarms of Unmanned Autonomous Vehicles (UAVs) that also interact with various other systems and devices, open and free communication systems are mandatory. This paper presents an implementation of such a communication system to incorporate the Crazyflie nano-drone as a UAV platform. The protocol stack leverages the open Predictably Reliable Real-time Transport (PRRT) protocol that adds latency-awareness and -predictability to stacks composed of standard Internet protocols. To enable the drone to receive and reply to control commands via Wi-Fi, it has been extended with a Raspberry Pi that runs two variants of the Crazybridge-a software to connect the control board to the network. To evaluate how practical this solution is for the use in control applications, the communication has been analysed with a focus on the latency properties. Our investigations show that despite using the open protocol stack-and hence opting out of specialised implementations-the resulting latencies are in the same order of magnitude (4 to 9 ms) as the latency of the proprietary link.
DOI of the first publication: 10.1109/DCOSS49796.2020.00055
Link to this record: urn:nbn:de:bsz:291--ds-378739
hdl:20.500.11880/34263
http://dx.doi.org/10.22028/D291-37873
ISBN: 978-1-7281-4351-4
978-1-72819-804-0 (ISBN der Printausgabe)
Date of registration: 8-Nov-2022
Third-party funds sponsorship: The work is supported by the DFG as part of SPP 1914 “Cyber-Physical Networking” under grant HE 2584/4-2.
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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