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doi: 10.17586/2226-1494-2021-21-6-919-928

Model of information interaction channel routing on the FANET network using fuzzy logic

K. Duj, I. . Komarov, H. Van, V. Le


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Article in Russian

For citation:
Tran D.K., Komarov I.I., Vu L.K., Le V.H. Model of information interaction channel routing on the FANET network using fuzzy logic. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 6, pp. 919–928 (in Russian). doi: 10.17586/2226-1494-2021-21-6-919-928


Abstract
The Flying Adhoc (FANET) network is focused on the use of mobile airborne objects and makes it possible to form self-organizing networks, which can provide channels of information interaction between these objects and not be limited. A specific property of airborne objects (FANET agents) is a high speed of movement and a limited communication range, which leads to frequent topology changes in a changing noise environment. This entails a data availability violation and may lead to the impossibility of performing the task by the group. One of the ways to improve the quality of information interaction between agents in the FANET network is to optimize the routing of information interaction channels in the dynamic topology of mobile agents. The paper proposes a model for routing communication channels in the FANET network using a fuzzy logic approach for grouping unmanned aerial vehicles (UAVs) with limited performance. The proposed model provides higher stability of the communication system for mobile objects when there are potential threats to the UAV grouping. The productivity of the described solutions is confirmed by the study of the developed Fuzzy protocol implemented in the NS3 environment: an analysis of quality indices is carried out in comparison with the well-known routing protocols AODV, OLSR.

Keywords: information communication channel, dynamic routing, information security, UAV, Fuzzy logic, FANET

References
  1. Bujari A., Palazzi C.E., Ronzani D.FANET application scenarios and mobility models.Proc. of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2017), 2017, pp. 43–46. https://doi.org/10.1145/3086439.3086440
  2. LeonovA.V., ChaplyshkinV.A. FlyingAdHocnetworks(FANETS). Omsk Scietntific Bulletin, 2015, no. 3(143), pp. 297–301. (in Russian)
  3. Matveev V., Belfer R., Glinskaya E. Threats and protection methods in sink sensor nodes flying sensor networks. Voprosy kiberbezopasnosti, 2015, no. 5(13), pp. 26–31.(in Russian)
  4. KomarovI.I., YuryevaR.A., DrannikA.L., MaslennikovO.S. Statement of the problem of ensuring information security of swarm robotic systems. Science and Business: Development Ways, 2015,no. 3,pp. 66–72. (in Russian)
  5. Ilukhin S.N., Klishin A.N. On-board computer efficiency evaluation of unmanned aerial vehicles (UAV) when implementing the targeting process. Engineering Journal: Science and Innovation, 2018, no. 7, pp. 6. (in Russian). https://doi.org/10.18698/2308-6033-2018-7-1781
  6. Clausen T., Jacquet P., Adjih C., Laouiti A., Minet P., Muhlethaler P., Qayyum A., Viennot L. Optimized Link State Routing Protocol (OLSR). 2003, ffinria-00471712f.
  7. Singh K., Verma A.K.Applying OLSR routing in FANETs. Proc. of the 2014 IEEE International Conference on Advanced Communication, Control and Computing Technologies (ICACCCT), 2014,pp. 1212–1215. https://doi.org/10.1109/ICACCCT.2014.7019290
  8. Rosati S., Krużelecki K., Heitz G., Floreano D., Rimoldi B.Dynamic routing for flying ad hoc networks. IEEE Transactions on Vehicular Technology,2016,vol. 65,no. 3,pp. 1690–1700.https://doi.org/10.1109/TVT.2015.2414819
  9. Perkins C.E., Bhagwat P. Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers.ACM SIGCOMM Computer Communication Review, 1994, vol. 24, no. 4, pp. 234–244. https://doi.org/10.1145/190809.190336
  10. Mariyappan K., Christo M.S., Khilar R. Implementation of FANET energy efficient AODV routing protocols for flying ad hoc networks [FEEAODV].Materials Today: Proceedings, 2021, in press. https://doi.org/10.1016/j.matpr.2021.02.673
  11. Anitha C., Asvini K.G. Performance of routing protocols and file transfer in fanet using shortes path algorithm. Science, Technology and Development,2020,vol. 9,no. 2, pp. 77–87.
  12. Perkins C., Belding-Royer E., Das S. Ad Hoc On-Demand Distance Vector (AODV) Routing.Document RFC 3561.2003.
  13. Leonov V., Litvinov G.A.Applying AODV and OLSR routing protocols to air-to-air scenario in flying ad hoc networks formed by mini-UAVs. 2018 Systems of Signals Generating and Processing in the Field of on Board Communications, 2018,pp. 1–10.https://doi.org/10.1109/SOSG.2018.8350612
  14. Garcia-SantiagoA., Castaneda-Camacho J., Guerrero-Castellanos J.F., Mino-Aguilar G.Evaluation of AODV and DSDV routing protocols for a FANET: Further results towards robotic vehicle networks.Proc. of the 9th IEEE Latin American Symposium on Circuits and Systems (LASCAS), 2018,pp. 1–4.https://doi.org/10.1109/LASCAS.2018.8399972
  15. Yang H., Liu Z. An optimization routing protocol for FANETs. EURASIP Journal on Wireless Communications and Networking, 2019, no. 1, pp. 120. https://doi.org/10.1186/s13638-019-1442-0
  16. JohnsonD., HuY., MaltzD. TheDynamicSourceRoutingProtocol(DSR) forMobileAdHocNetworksforIPv4. DocumentRFC4728,February2007,107 p. https://doi.org/10.17487/RFC4728
  17. AfanasievA.L.,GarmonovA.V., Kashchenko G.А.Security threat anatisis and securiry routing protocols of MANET. Proc. of the XX International Scientific and Technical Conference "Radiolocation, Navigation, Communication" (RLNC 2014), Voronezh, 2014, pp. 846–857. (in Russian)
  18. Yi S., Naldurg P., Kravets R. Security-aware ad hoc routing for wireless networks. Proc. of the ACM Symposium on Mobile Ad Hoc Networking and Computing, 2001.
  19. Maxa J.-A., Ben Mahmoud M.S., Larrieu N. Secure routing protocol design for UAV Ad hoc NETworks. Proc. of the 34th Digital Avionics Systems Conference (DASC), 2015, pp. 4A5-1–4A5-15. https://doi.org/10.1109/DASC.2015.7311415
  20. Leonov A.V.Modeling of bio-inspired algorithms AntHocNet and BeeAdHoc for Flying Ad Hoc Networks (FANETs).Proc. of the 13th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). V. 2. 2016,pp. 90–99.https://doi.org/10.1109/APEIE.2016.7806419
  21. Mukherjee A., Misra S., Pradeep Chandra V.S., Raghuwanshi N.S. ECoR: energy-aware collaborative routing for task offload in sustainable UAV swarms. IEEE Transactions on Sustainable Computing, 2020, vol. 5, no. 4, pp. 514–525. https://doi.org/10.1109/TSUSC.2020.2976453
  22. HyeonS.U., KimK.-I., YangS.W. Anewgeographicroutingprotocolforaircraftadhocnetworks. Proc. ofthe29thDigitalAvionicsSystemsConference: ImprovingOurEnvironmentthroughGreenAvionicsandATMSolutions(DASC), 2010, pp. 2.E.21–2.E.28. https://doi.org/10.1109/DASC.2010.5655476
  23. ZikratovI.A., ZikratovaT.V., LebedevI.S., GurtovA.V. Trust and reputation model design for objects of multi-agent robotics systems with decentralized control. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2014, no. 3(91), pp. 30–38. (in Russian)
  24. Matveeva A.A., Kim I.V., Viksnin I. Information security methods for communication channels in multiagent robotic systems. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 1, pp. 102–108. (in Russian). https://doi.org/10.17586/2226-1494-2019-19-1-102-108


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