QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems


  • J. Souza
  • J. Jailton
  • T. Carvalho
  • J. Araújo
  • R. Francês




FANET, Flight Autonomy, Quality of Experience, Routing Protocol


The Flying Ad-hoc Network (FANET) networks have often operated in regions that are difficult to reach and have no fixed infrastructure. The use of devices such as Unmanned Aerial Vehicles (UAV) enable aerial networks to be created that are extremely fast, although there are no specific routing protocols for this type of network that can make communication more efficient among these devices. For this reason, this paper sets out a specific routing protocol for FANET networks that is designed for the discovery of routes among UAV devices. Evidence of the benefits of this strategy has been obtained through simulation by the Network Simulator version 2.


E. Cruz, A Comprehensive Survey in Towards to Future FANETs.: IEEE Latin America Transactions, 2018.

O. Burdakov, P. Doherty, K. Holmberg, Relay Positioning for Unmanned Aerial Vehicle Surveillance.: The International Journal of Robotics Research, 2018.

Phantom 4 User Manual V 1.6. (2017). Accessed: Jan. 10, 2019. [Online]. Available: https://dl.djicdn.com/downloads/phantom_4/20170706/Phantom_4_User_Manual_v1.6.pdf

Mavic 2 Pro Zoom User Manual V 2.0. (2019). Accessed: Jan. 10, 2019. [Online]. Available: https://dl.djicdn.com/downloads/Mavic_2/20190417/Mavic_2_Pro_Zoom_User_Manual_v2.0_en.pdf

S. Winkler, “Perceptual video quality metrics - a review,” in Digital Video Image Quality and Perceptual Coding, CRC Press, 2005.

Z. Zheng, A. Sangaiah, T. Wang, "Adaptive Communication Protocols in Flying Ad Hoc Network," IEEE Communications Magazine, vol. 56, no. 1, Jan. 2018.

D. S. Vasiliev, D. S. Meitis, A. Abilov, “Simulation-Based Comparison of AODV, OLSR and HWMP Protocols for Flying Ad Hoc Networks,” in Balandin S., Andreev S., Koucheryavy Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and System, 2014, pp. 245-252, doi: 10.1007/978-3-319-10353-2_21.

F. Khelifi, A. Bradai, K. Singh and M. Atri, "Localization and Energy-Efficient Data Routing for Unmanned Aerial Vehicles: Fuzzy-Logic-Based Approach," IEEE Communications Magazine, vol. 56, no. 4, pp. 129-133, Apr. 2018.

A. Nayyar, "Flying Adhoc Network (FANETs): Simulation Based Performance Comparison of Routing Protocols: AODV, DSDV, DSR, OLSR, AOMDV and HWMP," in Int. Conf. on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, 2018, pp. 1-9.

P. Kaur, A. Singh, “Nature-Inspired Optimization Techniques in VANETs and FANETs: A Survey,” in Bhattacharyya S., Chaki N., Konar D., Chakraborty U., Singh C. (eds) Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, 2018, pp. 651-663, doi: 10.1007/978-981-10-8237-5_63.

G. A. Litvinov, A. V. Leonov and D. A. Korneev, "Applying Static Mobility Model in Relaying Network Organization in Mini-UAVs Based FANET," in Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO), Minsk, 2018, pp. 1-7, doi: 10.1109/SYNCHROINFO.2018.8456951.

O. S. Oubbati, A. Lakas, F. Zhou, M Günes and M. B. Yagoubi, "A survey on position-based routing protocols for Flying Ad hoc Networks (FANETs),” in Vehicular Communications, 2017, pp. 29-56, doi: 10.1016/j.vehcom.2017.10.003.

W. Zafar and B. Muhammad Khan, "Flying Ad-Hoc Networks: Technological and Social Implications," in IEEE Technology and Society Magazine, vol. 35, no. 2, pp. 67-74, Jun. 2016.

S. Rosati, K. Krużelecki, G. Heitz, D. Floreano and B. Rimoldi, "Dynamic Routing for Flying Ad Hoc Networks," in IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1690-1700, March 2016.

B. Yang, M. Liu and Z. Li, "Rendezvous on the Fly: Efficient Neighbor Discovery for Autonomous UAVs," in IEEE Journal on Selected Areas in Communications, vol. 36, no. 9, pp. 2032-2044, Sept. 2018.

L. Wang, A Course in Fuzzy Systems and Control. 1st ed. Prentice Hall, 1996.

Z. Ju and H. Liu, "Fuzzy Gaussian Mixture Models,” in Pattern Recognition, vol. 45, no. 3, Mar. 2012, pp. 1146-1158, doi: 10.1016/j.patcog.2011.08.028.

The ns Manual (formerly ns Notes and Documentation). (2011). Accessed: Mar. 3, 2015. [Online]. Available: https://www.isi.edu/nsnam/ns/doc/ns_doc.pdf.

MSU Quality Measurement Tool. Accessed: Fev. 10, 2016. [Online]. Avalaible: https://www.compression.ru/video/quality_measure/vqmt_download.html.




How to Cite

Souza, J., Jailton, J., Carvalho, T., Araújo, J., & Francês, R. (2020). QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 19(1), 11–25. https://doi.org/10.1590/2179-10742020v19i11842



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