Skip to main content
Log in

Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges

  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

In recent years, the capabilities and roles of Unmanned Aerial Vehicles (UAVs) have rapidly evolved, and their usage in military and civilian areas is extremely popular as a result of the advances in technology of robotic systems such as processors, sensors, communications, and networking technologies. While this technology is progressing, development and maintenance costs of UAVs are decreasing relatively. The focus is changing from use of one large UAV to use of multiple UAVs, which are integrated into teams that can coordinate to achieve high-level goals. This level of coordination requires new networking models that can be set up on highly mobile nodes such as UAVs in the fleet. Such networking models allow any two nodes to communicate directly if they are in the communication range, or indirectly through a number of relay nodes such as UAVs. Setting up an ad-hoc network between flying UAVs is a challenging issue, and requirements can differ from traditional networks, Mobile Ad-hoc Networks (MANETs) and Vehicular Ad-hoc Networks (VANETs) in terms of node mobility, connectivity, message routing, service quality, application areas, etc. This paper identifies the challenges with using UAVs as relay nodes in an ad-hoc manner, introduces network models of UAVs, and depicts open research issues with analyzing opportunities and future work.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Jiang, F., Swindlehurst, A.L.: Dynamic UAV Relay Positioning for the Ground-to-Air Uplink. IEEE Globecom Workshops (2010)

  2. Sahingoz, O.K.: Multi-level dynamic key management for scalable wireless sensor networks with UAV. In: The 7th International Conference on Ubiquitous Information Technologies & Applications (CUTE 2012). Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol. 214, pp. 11–19 (2013)

  3. Sahingoz, O.K.: Large scale wireless sensor networks with multi-level dynamic key management scheme. J. Syst. Archit. Available online 5 June 2013. ISSN 1383-7621. doi:10.1016/j.sysarc.2013.05.022 (2013)

    Google Scholar 

  4. Manathara, J., Sujit, P.B., Beard, R.: Multiple UAV coalitions for a search and prosecute mission. J. Intell. Robot. Syst. 62(1), 125–158 (2011)

    Article  MATH  Google Scholar 

  5. Cevik, P., Kocaman, I., Akgul, A., Akca, B.: The small and silent force multiplier: a swarm UAV—electronic attack. J. Intell. Robot. Syst. 70(1–4), 595–608 (2013)

    Google Scholar 

  6. York, G., Pack, D.: Ground target detection using cooperative unmanned aerial systems. J. Intell. Robot. Syst. 65(1–4), 473–478 (2012)

    Article  Google Scholar 

  7. Zhu, S., Wang, D., Low, C.: Ground target tracking using UAV with input constraints. J. Intell. Robot. Syst. 69(1–4), 417–429 (2013)

    Article  Google Scholar 

  8. Merino, L., Caballero, F., Martínez-de-Dios, J.R., Maza, I., Ollero, A.: An unmanned aircraft system for automatic forest fire monitoring and measurement. J. Intell. Robot. Syst. 65(1–4), 533–548 (2012)

    Article  Google Scholar 

  9. Cho, A., Kim, J., Lee, S., Kee, C.: Wind estimation and airspeed calibration using a UAV with a single-antenna GPS receiver and pitot tube. IEEE Trans. Aerosp. Electron. Syst. 47, 109–117 (2011)

    Article  Google Scholar 

  10. Maza, I., Caballero, F., Capitan, J., Martinez-De-Dios, J.R., Ollero, A.: Experimental results in multi-UAV coordination for disaster management and civil security applications. J. Intell. Robot. Syst. 61(1–4), 563–585 (2011)

    Article  Google Scholar 

  11. Xiang, H., Tian, L.: Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle. Biosyst. Eng. 108(2), 174–190 (2011)

    Article  Google Scholar 

  12. Cho, A., Kim, J., Lee, S., Kee, C.: Wind estimation and airspeed calibration using a UAV with a single-antenna GPS receiver and pitot tube. IEEE Trans. Aerosp. Electron. Syst. 47(1), 109–117 (2011)

    Article  Google Scholar 

  13. Xiang, H., Tian, L.: Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV). Biosyst. Eng. 108(2), 174–190 (2011)

    Article  Google Scholar 

  14. Bekmezci, I., Sahingoz, O.K., Temel, S.: Flying Ad-Hoc Networks (FANETs): a survey. Ad Hoc Netw. 11(3), 1254–1270 (2013)

    Article  Google Scholar 

  15. Cheng, B.N., Moore, S.: A comparison of MANET routing protocols on airborne tactical networks. In: Military Communications Conference—MILCOM 2012, pp. 1–6 (2012)

  16. Frew, E.W., Brown, T.X.: Airborne communication networks for small unmanned aircraft systems. Proc. IEEE 96(12), 2008–2027 (2008)

    Article  Google Scholar 

  17. Aloul, F.A., Kandasamy, N.: Sensor deployment for failure diagnosis in networked aerial robots: a satisfiability-based approach, theory and applications of satisfiability testing, SAT 2007. Lect. Notes Comput. Sci. 4501, 369–376 (2007)

    Article  Google Scholar 

  18. Shirani, R., St-Hilaire, M., Kunz, T., Zhou, Y., Li, J., Lamont, L.: Combined reactive-geographic routing for unmanned aeronautical ad-hoc networks. In: 8th International Wireless Communications and Mobile Computing Conference (IWCMC-2012), pp. 820–826 (2012)

  19. Li, Y., St-Hilaire, M., Kunz, T.: Enhancements to reduce the overhead of the reactive-greedy-reactive routing protocol for unmanned aeronautical ad-hoc networks. In: 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp. 1–4 (2012)

  20. Cai, Y., Yu, F.R., Li, J., Zhou, Y., Lamont, L.: Medium access control for Unmanned Aerial Vehicle (UAV) ad-hoc networks with full-duplex radios and multipacket reception capability. IEEE Trans. Veh. Technol. 62(1), 390–394 (2013)

    Article  Google Scholar 

  21. Reynaud, L., Rasheed, T.: Deployable aerial communication networks: challenges for futuristic applications. In: Proceedings of the 9th ACM Symposium on Performance Evaluation of Wireless Ad-Hoc, Sensor, and Ubiquitous Networks (PE-WASUN ‘12), pp. 9–16 (2012)

  22. Bök, P.-B., Tuchelmann, Y.: Context-aware QoS control for wireless mesh networks of UAVs. In: International Conference Computer Communications and Networks (ICCCN), pp. 1–6 (2011)

  23. Li, Y., St-Hilaire, M., Kunz, T.: Improving routing in networks of UAVs via scoped flooding and mobility prediction. In: IFIP Wireless Days (WD), pp. 1–6 (2012)

  24. Rohde, S., Goddemeier, N., Daniel, K., Wietfeld, C.: Link quality dependent mobility strategies for distributed aerial sensor networks. In: GLOBECOM Workshops, pp. 1783–1787 (2010)

  25. Sahingoz, O.K.: Mobile networking with UAVs: opportunities and challenges. In: International Conference on Unmanned Aircraft Systems (ICUAS-2013), pp. 933–941 (2013)

  26. Namuduri, K., Wan, Y., Gomathisankaran, M., Pendse, R.: Airborne network: a cyber-physical system perspective. In: Proceedings of the First ACM MobiHoc Workshop on Airborne Networks and Communications (Airborne ‘12), pp. 55–60 (2012)

  27. Clapper, J., Young, J., Cartwright, J., Grimes, J.: Unmanned systems roadmap 2007–2032. Technical Report, Department of Defense (2007)

  28. Winnefeld, J.A., Kendall, F.: Unmanned systems integrated roadmap FY 2011-2036. Technical Report, Department of Defense (2011)

  29. Hyland, M.T.: Performance evaluation of ad hoc routing protocols in a swarm of autonomous unmanned aerial vehicles. PhD Thesis, Air Force Institute of Technology (2007)

  30. Gu, D.L., Pei, G., Ly, H., Gerla, M., Zhang, B., Hong, X.: UAV aided intelligent routing for ad-hoc wireless network in single-area theater. In: IEEE Wireless Communications and Networking Conference-(WCNC 2000), vol. 3, pp. 1220–1225 (2000)

  31. Franchi, A., Secchi, C., Ryll, M., Bulthoff, H.H., Giordano, P.R.: Shared control: balancing autonomy and human assistance with a group of Quadrotor UAVs. IEEE Robot. Autom. Mag. 19(3), 57–68 (2012)

    Article  Google Scholar 

  32. Cheng, C.M., Hsiao, P.H., Kung, H.T., Vlah, D.: Maximizing throughput of UAV-relaying networks with the load-carry-and-deliver paradigm. In: IEEE Wireless Communications and Networking Conference (WCNC 2007) (2007)

  33. Le, M., Park, J.S., Gerla, M.: UAV Assisted disruption tolerant routing. In: Military Communications Conference, MILCOM 2006, pp. 1–5 (2006)

  34. Jonson, T., Pezeshki, J., Chao, V., Smith, K., Fazio, J.: Application of Delay Tolerant Networking (DTN) in airborne networks. In: IEEE Military Communications Conference-(MILCOM 2008), pp. 1–7 (2008)

  35. Lamont, G.B., Slear, J.N., Melendez, K.: UAV swarm mission planning and routing using multi-objective evolutionary algorithms. In: IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, pp. 10–20 (2007)

  36. Sun, Z., Wang, P., Vuran, M.C., Al-Rodhaan, M.A., Al-Dhelaan, A.M., Akyildiz, I.F.: BorderSense: border patrol through advanced wireless sensor networks. Ad Hoc Netw. 9(3), 468–477 (2011)

    Article  Google Scholar 

  37. Ko, J., Mahajan, A., Sengupta, R.: A network-centric UAV organization for search and pursuit operations. In: IEEE Aerospace Conference, pp. 2697–2713 (2002)

  38. López, J., Royo, P., Pastor, E., Barrado, C., Santamaria, E.: A middleware architecture for unmanned aircraft avionics. In: ACM/IFIP/ USENIX International Conference on Middleware companion (MC ‘07) (2007)

  39. de Jong, E.: Flexible data-centric UAV platform eases mission adaptation. White paper, Available online. http://www.rti.com/whitepapers/RTI_Data-Driven_Approach_to_UAV.pdf (2011). Accessed 3 Aug 2013

  40. Koller, A.A., Johnson, E.N.: Design, implementation, and integration of a publish/subscribe-like Multi-UAV communication architecture. In: AIAA Modeling and Simulation Technologies Conference and Exhibit, pp. 1–17 (2005)

  41. Sahingoz, O.K., Sonmez, A.C.: Fault tolerance mechanism of agent-based distributed event system. Lect. Notes Comput. Sci. 3993, 192–199 (2006)

    Article  Google Scholar 

  42. Sahingoz, O.K., Erdogan, N.: MAPSEC: mobile-agent based publish/subscribe platform for electronic commerce. Lect. Notes Comput. Sci. 2869/2003, 348–355 (2003)

    Article  Google Scholar 

  43. Clausen, T., Jacquet, P.: Optimized Link State Routing Protocol (OLSR) RFC 3626. http://www.ietf.org/rfc/rfc3626 (2003). Accessed 3 Aug 2013

  44. Perkins, C.E., Bhagwat, P.: Highly dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for mobile computers. In: Proceedings of the Conference on Communications Architectures, Protocols and Applications (SIGCOMM ‘94), pp. 234–244 (1994)

  45. Johnson, D.B., Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. In: Mobile Computing, Chapter 5, pp. 153–181. Kluwer Academic Publishers (1996)

  46. Brown, T.X., Argrow, B., Dixon, C., Doshi, S., Thekkekunel, R.G., Henkel, D.: Ad hoc UAV ground network (AUGNet). In: 3rd AIAA Unmanned Unlimited Technical Conference, pp. 29–39 (2004)

  47. Murthy, S., Garcia-Luna-Aceves, J.J.: An efficient routing protocol for wireless networks. In: ACM Mobile Networks and Applications, pp. 183–197 (1996)

  48. Haas, Z.J., Pearlman, M.R.: Zone Routing Protocol (ZRP) a hybrid framework for routing in ad hoc networks, 2nd edn. Ad hoc Networking, vol. 1, chapter 7, pp. 221–253. Addison-Wesley (2001)

  49. Park, V., Corson, S.: Temporarily-Ordered Routing Algorithm (TORA) Version 1. Internet draft, IETF MANET working group. http://tools.ietf.org/html/draft-ietf-manet-tora-spec-04. Accessed 3 Aug 2013

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ozgur Koray Sahingoz.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sahingoz, O.K. Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges. J Intell Robot Syst 74, 513–527 (2014). https://doi.org/10.1007/s10846-013-9959-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10846-013-9959-7

Keywords

Navigation