Enabling Self-Organizing TDMA Scheduling for Aerial Swarms

Esin Ece Aydln*, Omer Kara, Furkan Cakir, Berna Simsek Cansiz, Gokhan Secinti, Berk Canberk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

With the proliferation of affordable VTOL drones, application domain of aerial swarms expands everyday, spanning from public drone art to offensive military operations. Orchestrating these systems towards a successful mission, especially in contested environments, requires strict synchronization and reliable communication among network entities. Although using a ground controller with a long range link provides a cost-effective solution, it is extremely vulnerable to single-point of failure and/or jamming attacks. Thus, in contested environments, adapting ad-hoc policies is one of the most promising approaches, mitigating these vulnerabilities. However, existing ad-hoc approaches fail to sustain multi-hop connections, suffering from frequent topology changes and intermittent links due to dynamic environment. In this paper, we propose self-organizing TDMA (STDMA) protocol for aerial swarms in order to ensure reliable communication through efficient network management. We also partially implement our protocol on a small-scale test-bed and show that how drones are able to self-configure upon joining the network without any prior information. Our proposed STDMA protocol improves the overall channel utilization up to 55 percent with less control traffic overhead compared to the existing studies.

Original languageEnglish
Title of host publicationDroNet 2022 - Proceedings of the 2022 8th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, Part of MobiSys 2022
PublisherAssociation for Computing Machinery, Inc
Pages13-18
Number of pages6
ISBN (Electronic)9781450394055
DOIs
Publication statusPublished - 1 Jul 2022
Event8th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, DroNet 2022 - Part of MobiSys 2022 - Portland, United States
Duration: 1 Jul 2022 → …

Publication series

NameDroNet 2022 - Proceedings of the 2022 8th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, Part of MobiSys 2022

Conference

Conference8th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, DroNet 2022 - Part of MobiSys 2022
Country/TerritoryUnited States
CityPortland
Period1/07/22 → …

Bibliographical note

Publisher Copyright:
© 2022 ACM.

Funding

During this work, Esin Ece Aydin was supported by Turkcell-Istanbul Technical University researcher funding program.

FundersFunder number
Turkcell-Istanbul Technical University

    Keywords

    • ad hoc networks
    • aerial swarms
    • contention
    • protocol design
    • self-organizing time division multiple access (STDMA)

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