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Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms

Azem, S. ; Tahir, A. ; Koeppl, H. (2022)
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms.
19th Annual Consumer Communications & Networking Conference. virtuell Conference (08.01.2022-11.01.2022)
doi: 10.1109/CCNC49033.2022.9700712
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

A swarm of quadcopters can perform cooperative tasks, such as monitoring of a large area, more efficiently than a single one. However, to be able to successfully work together, the quadcopters must be aware of the position of the other swarm members, especially to avoid collisions. A quadcopter can share its own position by transmitting it via radio waves and in order to allow multiple quadcopters to communicate effectively, a decentralized channel access protocol is essential. We propose a new dynamic channel access protocol, called Dynamic time slot allocation (DTSA), where the quadcopters share the total channel access time in a non-periodic and decentralized manner. Quadcopters with higher communication demands occupy more time slots than less active ones. Our dynamic approach allows the agents to adapt to changing swarm situations and therefore to act efficiently, as compared to the state-of-the-art periodic channel access protocol, time division multiple access (TDMA). Along with simulations, we also do experiments using real Crazyflie quadcopters to show the improved performance of DTSA as compared to TDMA.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Azem, S. ; Tahir, A. ; Koeppl, H.
Art des Eintrags: Bibliographie
Titel: Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms
Sprache: Englisch
Publikationsjahr: 10 Februar 2022
Verlag: IEEE
Buchtitel: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Veranstaltungstitel: 19th Annual Consumer Communications & Networking Conference
Veranstaltungsort: virtuell Conference
Veranstaltungsdatum: 08.01.2022-11.01.2022
DOI: 10.1109/CCNC49033.2022.9700712
URL / URN: https://ieeexplore.ieee.org/abstract/document/9700712
Kurzbeschreibung (Abstract):

A swarm of quadcopters can perform cooperative tasks, such as monitoring of a large area, more efficiently than a single one. However, to be able to successfully work together, the quadcopters must be aware of the position of the other swarm members, especially to avoid collisions. A quadcopter can share its own position by transmitting it via radio waves and in order to allow multiple quadcopters to communicate effectively, a decentralized channel access protocol is essential. We propose a new dynamic channel access protocol, called Dynamic time slot allocation (DTSA), where the quadcopters share the total channel access time in a non-periodic and decentralized manner. Quadcopters with higher communication demands occupy more time slots than less active ones. Our dynamic approach allows the agents to adapt to changing swarm situations and therefore to act efficiently, as compared to the state-of-the-art periodic channel access protocol, time division multiple access (TDMA). Along with simulations, we also do experiments using real Crazyflie quadcopters to show the improved performance of DTSA as compared to TDMA.

Freie Schlagworte: quadcopters, dynamic communication channel access, decentralised scalable communication, Time division multiple access, Adaptation models
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C3: Inhaltszentrische Sicht
Hinterlegungsdatum: 29 Mär 2022 09:44
Letzte Änderung: 29 Mär 2022 09:44
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