skip to main content
10.1145/3539493.3539579acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article
Open Access

ICCSwarm: A Framework for Integrated Communication and Control in UAV Swarms

Published:27 June 2022Publication History

ABSTRACT

Swarms of Unmanned Aerial Vehicles (UAVs) have many applications including search and rescue, disaster response, surveillance, infrastructure inspection, among many others. A key aspect of UAV swarms is keeping the UAVs connected through wireless communication and any deployment of UAV swarms must consider communication constraints during motion planning. In this paper we introduce \textit{ICCSwarm}, a framework for integrating communication and control in UAV swarms. \textit{ICCSwarm} consists of two phases, a planning phase where combined communication and motion planning are validated in simulation, and a deployment phase, where a UAV architecture designed around integrated communication and control executes missions from the planning phase on physical UAVs. We implemented \textit{ICCSwarm} on a physical UAV testbed and evaluated its effectiveness through a unique case study in partnership with NASA's JPL. We deployed the UAVs to trial small satellite orbits for data collection on asteroids and the results validate our design and highlight \textit{ICCSwarm}'s capabilities.

References

  1. 1.Mohamed Abdelkader, Usman A Fiaz, Noureddine Toumi, Mohamed A Mabrok, and Jeff S Shamma. 2021. RISCuer: a reliable multi-UAV search and rescue testbed. In Unmanned Aerial Systems. Elsevier, 345–374.Google ScholarGoogle Scholar
  2. 2.Ahmed Boubrima and Edward W Knightly. 2020. Robust mission planning of UAV networks for environmental sensing. In Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. 1–6.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Hugo Cabrita and Bruno Guerreiro. 2021. NOVA. DroneArena: design and control of a low-cost drone testbed. In 2021 International Young Engineers Forum (YEF-ECE). IEEE, 20–25.Google ScholarGoogle Scholar
  4. 4.Mitch Campion, Prakash Ranganathan, and Saleh Faruque. 2018. UAV swarm communication and control architectures: a review. Journal of Unmanned Vehicle Systems 7, 2 (2018), 93–106.Google ScholarGoogle ScholarCross RefCross Ref
  5. 5.Luis F Gonzalez, Ivan Vidal, Francisco Valera, and Victor Sanchez-Aguero. 2021. A Comparative Study of Virtual Infrastructure Management Solutions for UAV Networks. In Proceedings of the 7th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. 13–18.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Anusha Mujumdar, Pooja Kashyap, Swarup Kumar Mohalik, and Jim Feng. 2019. Caper: A connectivity-aware path planner with regulatory compliance for UAVs. In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 596–603.Google ScholarGoogle ScholarCross RefCross Ref
  7. 7.Charles E Perkins and Elizabeth M Royer. 1999. Ad-hoc on-demand distance vector routing. In Proceedings WMCSA’99. Second IEEE Workshop on Mobile Computing Systems and Applications. IEEE, 90–100.Google ScholarGoogle ScholarCross RefCross Ref
  8. 8.Riccardo Petrolo, Yingyan Lin, and Edward Knightly. 2018. ASTRO: Autonomous, sensing, and tetherless networked drones. In Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. 1–6.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.Rachael Purta, Mikolaj Dobski, Artur Jaworski, and G Madey. 2013. A testbed for investigating the UAV swarm command and control problem using DDDAS. Procedia Computer Science 18 (2013), 2018–2027.Google ScholarGoogle ScholarCross RefCross Ref
  10. 10.Chengyi Qu, Alicia Esquivel Morel, Drew Dahlquist, and Prasad Calyam. 2020. Dronenet-sim: A learning-based trace simulation framework for control networking in drone video analytics. In Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications. 1–6.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11.Federico Rossi, Saptarshi Bandyopadhyay, Mark Mote, Jean-Pierre de la Croix, and Amir Rahmani. 2020. COMMUNICATION-AWARE ORBIT DESIGN FOR SMALL SPACECRAFT SWARMS AROUND SMALL BODIES. In AIAA/AAS Astrodynamics Specialist Conference.Google ScholarGoogle Scholar
  12. 12.Elizabeth M Royer and Chai-Keong Toh. 1999. A review of current routing protocols for ad hoc mobile wireless networks. IEEE personal communications 6, 2 (1999), 46–55.Google ScholarGoogle ScholarCross RefCross Ref
  13. 13.Jürgen Scherer, Saeed Yahyanejad, Samira Hayat, Evsen Yanmaz, Torsten Andre, Asif Khan, Vladimir Vukadinovic, Christian Bettstetter, Hermann Hellwagner, and Bernhard Rinner. 2015. An autonomous multi-UAV system for search and rescue. In Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use. 33–38.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14.Matt Schmittle, Anna Lukina, Lukas Vacek, Jnaneshwar Das, Christopher P Buskirk, Stephen Rees, Janos Sztipanovits, Radu Grosu, and Vijay Kumar. 2018. OpenUAV: A UAV testbed for the CPS and robotics community. In 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 130–139.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. 15.Asif A Siddiqi. 2018. Beyond Earth: A chronicle of deep space exploration, 1958-2016. National Aeronautics and Space Administration, Office of Communications.Google ScholarGoogle Scholar

Index Terms

  1. ICCSwarm: A Framework for Integrated Communication and Control in UAV Swarms

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      DroNet '22: Proceedings of the Eighth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications
      July 2022
      47 pages
      ISBN:9781450394055
      DOI:10.1145/3539493

      Copyright © 2022 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 June 2022

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      DroNet '22 Paper Acceptance Rate7of7submissions,100%Overall Acceptance Rate29of50submissions,58%

      Upcoming Conference

      MOBISYS '24

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader