A Fuzzy Logic-Based Fault Tolerance New Routing Protocol in Mobile Ad Hoc Networks


Ad hoc networks are self-organizing and self-configuring networks that do not have fixed infrastructures. Mobile stations in wireless ad hoc networks move around in the network, thus requiring routing to dynamically handle the constant changing of network topologies. In this paper, we propose a fuzzy logic-based on-demand routing protocol (FBRP) for mobile ad hoc networks. The FBRP selects routes based on power of battery and speed of mobile nodes. The results of simulation and a comparison of the proposed method with the well-known ad hoc on-demand distance vector protocol revealed better performance and a higher fault tolerance for our approach, particularly in terms of node failures.

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  1. 1.

    Raich, A., Vidhate, A.: Best path finding using location aware AODV for MANET. Int. J. Adv. Comput. Res. 3, 336–340 (2013)

    Google Scholar 

  2. 2.

    Brahma, M., Kim, K.W., Abouaissa, A., Lorenz, P.: A load-balancing and push-out scheme for supporting QOS in MANETs. Telecommun. Syst. 30, 161–175 (2005)

    Article  Google Scholar 

  3. 3.

    Tabatabaei, S., Teshnehlab, M., Mirabedini, S.J.: A new routing protocol to increase throughput in mobile ad hoc networks. Wireless Pers. Commun. 83, 1765–1778 (2015)

    Article  Google Scholar 

  4. 4.

    EL-Afandi, H.: An intelligent wireless ad hoc routing protocol. University of Wisconsin_Milwaukee (2006)

  5. 5.

    You, L., Li, J., Wei, C., Dai, C., Xu, J., Hu, L.: A hop count based heuristic routing protocol for mobile delay tolerant networks. Sci. World J. (2014)

  6. 6.

    Moussaoui, A., Semchedine, F., Boukerram, A.: A link-state QoS routing protocol based on link stability for mobile ad hoc networks. J. Netw. Comput. Appl. 39, 117–125 (2014)

    Article  Google Scholar 

  7. 7.

    Tabatabaei, Sh., Teshnehlab, M., Mirabedini, S.J.: Fuzzy-based routing protocol to increase throughput in mobile ad hoc networks. Wireless Pers. Commun.  84, 2307–2325 (2015)

    Article  Google Scholar 

  8. 8.

    Lin, G.T.R., Lin, Ch., Chou, C.J., Lee, YCh.: Fuzzy modeling for information security management issues in cloud computing. Int. J. Fuzzy Syst. 16, 529–540 (2014)

    Google Scholar 

  9. 9.

    Jeng, J.T., Chuang, Ch., Tseng, Ch., Juan, ChJ: Robust interval competitive agglomeration clustering algorithm with outliers. Int. J. Fuzzy Syst. 12, 227–236 (2010)

    Google Scholar 

  10. 10.

    Tsai, Ch., Chen, Ch., Chan, Ch., Li, Y.: Behavior-based navigation using heuristic fuzzy kohonen clustering network for mobile service robots. Int. J. Fuzzy Syst. 12, 25–32 (2010)

    Google Scholar 

  11. 11.

    Baklizi, M., Abdel-Jaber, H., Shareha, A.A., Abualhaj, M.M., Ramadass, S.: Fuzzy logic controller of gentle random early detection based on average queue length and delay rate. Int. J. Fuzzy Syst. 16, 9–19 (2014)

    Google Scholar 

  12. 12.

    Shafigh, A.S., Abdollahi, K., Kouchaki, M.: Developing a fuzzy logic based on demand multicast routing protocol. J. Electr. Comput. Eng. 2012, 1–14 (2012)

    Article  Google Scholar 

  13. 13.

    Nie, J., Wen, J., Luo, J., He, X., Zhou, Z.: An adaptive fuzzy logic based secure routing protocol in mobile ad hoc networks. Wireless Network Lab, Beijing University of Posts and Telecommunications, China, 2006

  14. 14.

    Gupta, S., Bharti, P.K., Choudhary, V.: Fuzzy logic based routing algorithm for mobile ad hoc networks. In: High Performance Architecture and Grid Computing Communications in Computer and Information Science, vol. 169, pp. 574–579 (2011)

  15. 15.

    Vu T.K., Kwon, S.: Mobility-assisted on-demand routing algorithm for MANETs in the presence of location errors. Sci. World J. (2014)

  16. 16.

    Sivakumar, B., Bhalaji, N., Sivakumar, D.: A survey on investigating the need for intelligent power-aware load balanced routing protocols for handling critical links in MANETs. Sci. World J. (2014)

  17. 17.

    Sumathia, K., Priyadharshinib, A.: Energy optimization in MANETS using on demand routing protocol. Proc. Comput. Sci. 47, 460–470 (2015)

    Article  Google Scholar 

  18. 18.

    Kumar, K., Singh, V.P.: Power consumption based simulation model for mobile ad-hoc network. Wireless Pers. Commun. 77, 1437–1448 (2014)

    Article  Google Scholar 

  19. 19.

    Saraireh, M., Saatchi, R., Al-khayatt, S., Strachan, R.: Assessment and Improvement of Quality of Service in Wireless Networks Using Fuzzy and Hybrid Genetic-Fuzzy Approaches. Springer, Berlin (2008)

    Google Scholar 

  20. 20.

    Mirabedini, S.J., Teshnehlab, M., Shenasa, S.H., Rahmani, A.M.: FLAR: an adaptive fuzzy routing algorithm for communications networks using mobile ants. Int. J.-Cybern. Syst. 39, 684–702 (2008)

    MATH  Google Scholar 

  21. 21.

    Ning, P., Sun, K.: How to misuse AODV: a case study of insider attacks against mobile ad-hoc routing protocols. Cyber Defense Laboratory, Computer Science Department, North Carolina State University, Raleigh (2004)

  22. 22.

    OPNET Modeler. http://www.opnet.com

  23. 23.

    Broch, J., Maltz, D.A., Johnson, D.B., Hu, Y., Jetcheva, J.: A performance comparison of multi-hop wireless ad hoc network routing protocols. In: International Conference on Mobile Computing and Networking, pp. 85–97, New York (1998)

  24. 24.

    Michiardi, P., Molva, R.: Simulation-based analysis of security exposures in mobile ad hoc networks. In: Proceedings of European Wireless Conference (2002)

  25. 25.

    Wang, N.-C., Huang, Y.-F., Chen, J.-C.: A Stable Weight-Based on-Demand Routing Protocol for Mobile Ad Hoc Networks. Elsevier Inc, Amsterdam (2007)

    Google Scholar 

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Correspondence to Shayesteh Tabatabaei.

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Tabatabaei, S., Hosseini, F. A Fuzzy Logic-Based Fault Tolerance New Routing Protocol in Mobile Ad Hoc Networks. Int. J. Fuzzy Syst. 18, 883–893 (2016). https://doi.org/10.1007/s40815-015-0119-z

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  • Mobile ad hoc networks
  • FBRP
  • Stable route
  • Fuzzy logic
  • Ad hoc protocol