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A hybrid geographic-DTN routing protocol based on fuzzy logic in vehicular ad hoc networks

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Abstract

Position-based routing algorithms were proposed to overcome the poor efficiency of traditional routing protocols in vehicular ad hoc networks (VANETs); however, while selecting the next hop to send data packets in greedy mode, these algorithms encounter the so-called local maximum problem. The main objectives of this paper are: (1) improving the greedy routing efficiency and (2) reducing the chance of selecting an absurd node for routing. In fact, the proposed method in this paper is aimed at detecting the absurdity of each node before sending the packets to it. That is, sending packets to an absurd node will be avoided; accordingly, the packet will not be trapped in a local maximum. By applying fuzzy logic and parameters such as the number of neighbors, neighboring vehicles’ speed, their direction, and distance from a destination in the proposed method, a chance value is calculated for each neighbor node. Then, the node having the highest chance value among the neighbors is selected for greedy forwarding. In case the greedy forwarding fails, the proposed algorithm will switch to the perimeter forwarding mode for delivering packets to the destination. However, in case the perimeter forwarding also fails, DTN capability is used in the proposed method for delivering packets to the destination. The simulation results of the proposed method indicated that, due to using fuzzy logic and parameters such as nodes’ direction and speed and applying DTN forwarding approach, it was able to better improve packet delivery ratio and end-to-end delay when compared with GPSR, GPSR-DTN, and LSGO routing protocols.

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References

  1. Sharef BT, Alsaqour RA, Ismail M (2014) Vehicular communication ad hoc routing protocols: A survey. J Netw Comput. Appl 40(1):363–396

    Article  Google Scholar 

  2. Al-Sultan S, Al-Doori MM, Al-Bayatti AH, Zedan H (2014) A comprehensive survey on vehicular Ad Hoc network. J Netw Comput Appl 37(1):380–392

    Article  Google Scholar 

  3. Liu J, Wan J, Wang Q, Deng P, Zhou K, Qiao Y (2016) A survey on position-based routing for vehicular ad hoc networks. Telecommun Syst 62(1):15–30

    Article  Google Scholar 

  4. Karp B, Kung H (2000) GPSR: Greedy Perimeter Stateless Routing for wireless networks. ACM MobiCom, no. MobiCom, p 243–254

  5. F. Li, L. Zhao, X. Fan, and Y. Wang: Hybrid Position-Based and DTN Forwarding for Vehicular Sensor Networks. Int J Distrib Sens Networks, vol. 8, no. 4, p. 186146, 2012.

  6. Gottwald S (2013) Fuzzy sets and fuzzy logic: The foundations of application—from a mathematical point of view. Springer-Verlag, New York

    MATH  Google Scholar 

  7. Wu C, Ohzahata S, Kato T (2013) Flexible, portable, and practicable solution for routing in VANETs: A fuzzy constraint Q-learning approach. IEEE Trans Veh Technol 62(9):4251–4263

    Article  Google Scholar 

  8. R. Khokhar, R. Md Noor, K. Ghafoor, C.-H. Ke, and M. A. Ngadi: Fuzzy-assisted social-based routing for urban vehicular environments. EURASIP J Wirel Commun Netw, vol. 2011, no. 1, p. 178, 2011.

  9. Bilal SM, Bernardos CJ, Guerrero C (2013) Position-based routing in vehicular networks: A survey. J Netw Comput Appl 36(2):685–697

    Article  Google Scholar 

  10. Kumar S, Verma AK (2015) Position Based Routing Protocols in VANET: A Survey. Wirel Pers Commun 83(4):2747–2772

    Article  Google Scholar 

  11. Fonseca A, Vazão T (2013) Applicability of position-based routing for VANET in highways and urban environment. J Netw Comput Appl 36(3):961–973

    Article  Google Scholar 

  12. Paul B, Ibrahim M, Abu Naser M (2011) Bikas: VANET Routing Protocols: Pros and Cons. Int J Comput Appl 20(3):28–34

    Google Scholar 

  13. Johnson DB, Maltz DA, Hu YC (2007) The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks (DSR). Technical Report, IETF MANET Working Group

    Book  Google Scholar 

  14. Perkins CC, Royer E, Das S (2003) RFC 3561 Ad hoc On-Demand Distance Vector (AODV) Routing. Technical Report, IETF Network Working Group

    Google Scholar 

  15. Clausen TH, Jacquet P (2003) Optimized link state routing protocol (OLSR). Technical report, INRIA

    Book  Google Scholar 

  16. Beijar N (2002) Zone Routing Protocol (ZRP). Netw. Lab. Helsinki Univ. Technol. Finl., p 1–12

  17. R. Kumar: Performance comparison of AODV and DSR Routing protocols in MANETs: Computer (Long. Beach. Calif)., vol. 3, no. 4, pp. 1059–1063, 2006.

  18. Song T, Xia W, Song T, Shen L (2010) A cluster-based directional routing protocol in VANET. Int. Conf. Commun. Technol. Proceedings, ICCT, no. 2008, p 1172–1175

  19. Santos RA, Edwards A, Edwards RM, Seed NL (2005) Performance evaluation of routing protocols in vehicular ad-hoc networks. Int J Ad Hoc Ubiquitous Comput 1(1/2):80

    Article  Google Scholar 

  20. Bachir A, Benslimane A (2003) A multicast protocol in ad hoc networks inter-vehicle geocast. IEEE Semiannu Veh Technol Conf 4:2456–2460

    Google Scholar 

  21. Kihl M, Sichitiu M, Ekeroth T, Rozenberg M (2007) Reliable geographical multicast routing in vehicular ad-hoc networks. WWIC, In, pp 315–325

    Google Scholar 

  22. Lochert C, Hartenstein H (2003) A routing strategy for vehicular ad hoc networks in city environments. Intell Veh 2000(1):156–161

    Google Scholar 

  23. Jabbarpour MR, Jalooli A, Shaghaghi E, Marefat A, Noor RM, Jung JJ (2015) Analyzing the impacts of velocity and density on intelligent position-based routing protocols. J Comput Sci 11:177–184

    Article  Google Scholar 

  24. R. S. Raw, D. K. Lobiyal, and S. Das: An analytical approach to position-based routing protocol for vehicular ad hoc networks. Commun Comput Inf Sci, vol. 335 CCIS, pp. 147–156, 2012.

  25. Jerbi M, Meraihi R, Senouci S-M, Ghamri-Doudane Y (2006) GyTAR: improved greedy traffic aware routing protocol for vehicular ad hoc networks in city environments. ACM Proc. 3rd Int. Work. Veh. ad hoc networks., p 88–89

  26. Tornell SM, Calafate CT, Cano JC, Manzoni P (2015) DTN protocols for vehicular networks: An application oriented overview. IEEE Commun Surv Tutorials 17(2):868–887

    Article  Google Scholar 

  27. Bilal S, Madani S, Khan I (2011) Enhanced junction selection mechanism for routing protocol in VANETs. Int Arab J Inf Technol 8(4):422–429

    Google Scholar 

  28. X. Cai, Y. He, C. Zhao, L. Zhu, and C. Li: LSGO: Link State aware Geographic Opportunistic routing protocol for VANETs. EURASIP J Wirel Commun Netw, vol. 2014, no. 1, p. 96, 2014.

  29. Li C, Wang L, He Y, Zhao C, Lin H, Zhu L (2014) A link state aware geographic routing protocol for vehicular ad hoc networks. EURASIP J Wirel Commun Netw 2014(1)

  30. Salkuyeh MA, Abolhassani B (2016) An Adaptive Multipath Geographic Routing for Video Transmission in Urban VANETs. IEEE Trans Intell Transp Syst 17(10):2822–2831

    Article  Google Scholar 

  31. S. Agrawal, R. S. Raw, T. Neeraj, and A. K. Misra: Fuzzy Logic based Greedy Routing (FLGR) in multi-hop vehicular ad hoc networks. Indian Journal of Science and Technology 8, no. 30, 2015.

  32. Xiang Y, Zheng L, Liu R, Sun W, Wang W (2013) GeoSVR: A map-based stateless VANET routing. Ad Hoc Netw 11(7):2125–2135

    Article  Google Scholar 

  33. Leontiadis I, Mascolo C (2007) GeOpps: Geographical opportunistic routing for vehicular networks. 2007 I.E. Int. Symp. a World Wireless, Mob. Multimed. Networks, WOWMOM

  34. Cheng PC, Lee KC, Gerla M, Härri J (2010) GeoDTN+Nav: Geographic DTN routing with navigator prediction for urban vehicular environments. Mob Networks Appl 15(1):61–82

    Article  Google Scholar 

  35. Y. Li, P. hui, D. Jin, and S. Chen: Delay-tolerant network protocol testing and evaluation. IEEE Commun Mag, vol. 53, no. 1, pp. 258–266, 2015.

  36. Asgari M, Jumari K, Ismail M (2011) Analysis of Routing Protocols in Vehicular Ad Hoc Network Applications. Softw Eng Comput Syst 181:384–397

    Article  Google Scholar 

  37. Bazzi A, Zanella A (2016) Position based routing in crowd sensing vehicular networks. Ad Hoc Netw 36:409–424

    Article  Google Scholar 

  38. Sánchez-Carmona A, Robles S, Borrego C (2016) PrivHab+: A secure geographic routing protocol for DTN. Comput Commun 78:56–73

    Article  Google Scholar 

  39. Wang S, Lin Y (2013) PassCAR: A passive clustering aided routing protocol for vehicular ad hoc networks. Comput Commun 36(2):170–179

    Article  MathSciNet  Google Scholar 

  40. Hertkorn G, Krajzewicz D, Rössel (2002) SUMO Homepage. Available: http://sumo.sourceforge.net/

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Correspondence to Mohammad Ali Jabraeil Jamali.

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Rahimi, S., Jabraeil Jamali, M.A. A hybrid geographic-DTN routing protocol based on fuzzy logic in vehicular ad hoc networks. Peer-to-Peer Netw. Appl. 12, 88–101 (2019). https://doi.org/10.1007/s12083-018-0642-4

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