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Communication and Coordination for Drone Networks

  • Evşen YanmazEmail author
  • Markus Quaritsch
  • Saeed Yahyanejad
  • Bernhard Rinner
  • Hermann Hellwagner
  • Christian Bettstetter
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 184)

Abstract

Small drones are being utilized in monitoring, delivery of goods, public safety, and disaster management among other civil applications. Due to their sizes, capabilities, payload limitations, and limited flight time, it is not far-fetched to expect multiple networked and coordinated drones incorporated into the air traffic. In this paper, we describe a high-level architecture for the design of a collaborative aerial system that consists of drones with on-board sensors and embedded processing, sensing, coordination, and communication&networking capabilities. We present a multi-drone system consisting of quadrotors and demonstrate its potential in a disaster assistance scenario. Furthermore, we illustrate the challenges in the design of drone networks and present potential solutions based on the lessons we have learned so far.

Keywords

Drones Unmanned aerial vehicle networks Wireless sensor networks Vehicular communications Cooperative aerial imaging 

Notes

Acknowledgment

This work was funded by ERDF and KWF in the Lakeside Labs projects cDrones (grant 20214/17095/24772) and SINUS (grant 20214/24272/36084).

References

  1. 1.
    Ryan, A., Zennaro, M., Howell, A., Sengupta, R., Hedrick, J.: An overview of emerging results in cooperative UAV control. In: Proceedings of the IEEE Conference on Decision and Control, vol. 1, pp. 602–607, December 2004Google Scholar
  2. 2.
    Kovacina, M., Palmer, D., Yang, G., Vaidyanathan, R.: Multi-agent control algorithms for chemical cloud detection and mapping using unmanned air vehicles. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 2782–2788, October 2002Google Scholar
  3. 3.
    Palat, R.C., Annamalai, A., Reed, J.H.: Cooperative relaying for ad hoc ground networks using swarms. In: Proceedings of the IEEE Military Communications Conference, (MILCOM’05), vol. 3, pp. 1588–1594, October 2005Google Scholar
  4. 4.
    Cole, D., Goktogan, A., Thompson, P., Sukkarieh, S.: Mapping and tracking. IEEE Robot. Autom. Mag. 16(2), 22–34 (2009)CrossRefGoogle Scholar
  5. 5.
    Lindsey, Q., Mellinger, D., Kumar, V.: Construction of cubic structures with quadrotor teams. In: Proceedings of Robotics: Science and Systems, Los Angeles, CA, USA, June 2011Google Scholar
  6. 6.
    Hayat, S., Yanmaz, E., Muzaffar, R.: Survey on unmanned aerial vehicle networks for civil applications: a communications viewpoint. IEEE Commun. Surv. Tutorials (2016)Google Scholar
  7. 7.
    Cole, D.T., Thompson, P., Göktoğan, A.H., Sukkarieh, S.: System development and demonstration of a cooperative UAV team for mapping and tracking. Int. J. Robot. Res. 29, 1371–1399 (2010)CrossRefGoogle Scholar
  8. 8.
    Rathinam, S., Zennaro, M., Mak, T., Sengupta, R.: An architecture for UAV team control. In: Proceedings of the IFAC Conference on Intelligent Autonomous Vehicles, July 2004Google Scholar
  9. 9.
    Ollero, A., Lacroix, S., Merino, L., Gancet, J., Wiklund, J., Remuss, V., Perez, I., Gutierrez, L., Viegas, D., Benitez, M., Mallet, A., Alami, R., Chatila, R., Hommel, G., Lechuga, F., Arrue, B., Ferruz, J., Martinez-De Dios, J., Caballero, F.: Multiple eyes in the skies: architecture and perception issues in the COMETS unmanned air vehicles project. IEEE Robot. Autom. Mag. 12(2), 46–57 (2005)CrossRefGoogle Scholar
  10. 10.
    Quaritsch, M., Kruggl, K., Wischounig-Strucl, D., Bhattacharya, S., Shah, M., Rinner, B.: Networked UAVs as aerial sensor network for disaster management applications. Elektrotech. Informationstechnik (e&i) 127(3), 56–63 (2010)CrossRefGoogle Scholar
  11. 11.
    Wischounig-Strucl, D., Rinner, B.: Resource aware and incremental mosaics of wide areas from small-scale UAVs. Mach. Vis. Appl. 26(7), 885–904 (2015)CrossRefGoogle Scholar
  12. 12.
    Yanmaz, E., Kuschnig, R., Quaritsch, M., Bettstetter, C., Rinner, B.: On path planning strategies for networked unmanned aerial vehicles. In: Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 212–216, April 2011Google Scholar
  13. 13.
    Yahyanejad, S., Rinner, B.: A fast and mobile system for registration of low-altitude visual and thermal aerial images using multiple small-scale UAVs. ISPRS J. Photogrammetry Remote Sens. 104, 189–202 (2015)CrossRefGoogle Scholar
  14. 14.
    Yanmaz, E., Kuschnig, R., Bettstetter, C.: Achieving air-ground communications in 802.11 networks with three-dimensional aerial mobility. In: Proceedings IEEE Conference on Computer Communications (INFOCOM), Turin, Italy, April 2013Google Scholar
  15. 15.
    Yanmaz, E., Hayat, S., Scherer, J., Bettstetter, C.: Experimental performance analysis of two-hop aerial 802.11 networks. In: IEEE Wireless Communications and Networking Conference, April 2014Google Scholar
  16. 16.
    Hayat, S., Yanmaz, E., Bettstetter, C.: Experimental analysis of Multipoint-to-Point UAV communications with IEEE 802.11n and 802.11ac. In: Proceedings of the IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), August 2015Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Evşen Yanmaz
    • 1
    Email author
  • Markus Quaritsch
    • 2
  • Saeed Yahyanejad
    • 3
  • Bernhard Rinner
    • 2
  • Hermann Hellwagner
    • 2
  • Christian Bettstetter
    • 1
    • 2
  1. 1.Lakeside Labs GmbHKlagenfurtAustria
  2. 2.Institute of Networked and Embedded SystemsUniversity of KlagenfurtKlagenfurtAustria
  3. 3.Joanneum Research, RoboticsKlagenfurtAustria

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