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Fuzzy-Based Routing Protocol to Increase Throughput in Mobile Ad Hoc Networks

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Abstract

Mobile ad hoc networks (MANETs) are dynamically configurable wireless networks that have no fixed infrastructures and do not require predefined configurations. In MANETs, the high mobility of the mobile nodes is a major reason for link failure. Based on ad hoc on-demand distance vector (AODV), we propose a fuzzy-based on-demand routing protocol (FBORP) for MANETs. The proposed scheme uses the fuzzy logic system to select a stable route to enhance system performance. The fuzzy logic system is based on the remained energies of the nodes on the routes, the bandwidth and the node mobility. This study also compares the performance of the FBORP protocol with the well-known AODV protocol. Simulation results show that the proposed FBORP outperforms AODV, especially in a high mobility environment.

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References

  1. Seno, S. A. H., Budiarto, R., & Wan, T. (2011). A routing layer-based hierarchical service advertisement and discovery for MANETs. Ad Hoc Networks, 9, 355–367.

  2. Garg, N., Aswal, K., & Dobhal, D. C. (2012). A review of routing protocols in mobile ad hoc networks. International Journal of Information Technology, 5, 177–180.

  3. Raich, A., & Vidhate, A. (2013). Best path finding using location aware AODV for MANET. International Journal of Advanced Computer Research, 3, 336–340.

  4. Bilgin, Z., & Khan, B. (2010). A dynamic route optimization mechanism for AODV in MANETs. In IEEE ICC.

  5. Misra, P. (2000). Routing protocols for ad hoc mobile wireless networks. http://www.cis.ohio-state.edu/~misra.

  6. Wang, N.-C., Huang, Y.-F., & Chen, J.-C. (2007). A stable weight-based on-demand routing protocol for mobile ad hoc networks. Information Sciences: an International Journal, 177, 5522–5537.

  7. EL-Afandi, H. (2006). An intelligent wireless ad hoc routing protocol. Milwaukee: University of Wisconsin–Milwaukee.

    Google Scholar 

  8. Jain, R., & Garg, S. (2014). Dynamic source routing protocol for ad hoc networks using the concept intelligent agent fuzzy logic. International Journal of Engineering and Management Research, 480–486.

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

  10. Kanakaris, V., Ndzi, D., & Azzi, D. (2010). Ad hoc networks energy consumption: A review of the ad-hoc routing protocols. Journal of Engineering Science and Technology Review.

  11. Vu, T. K., & Kwon, S. (2014). Mobility-assisted on-demand routing algorithm for MANETs in the presence of location errors. The Scientific World Journal, 2014, 790103.

  12. Sivakumar, B., Bhalaji, N., & Sivakumar, D. (2014). A survey on investigating the need for intelligent power-aware load balanced routing protocols for handling critical links in MANETs. The Scientific World Journal, 2014, 603547.

  13. Xia, H., Jia, Z., Li, X., Ju, L., & Sha, E. H. M. (2013). Trust prediction and trust-based source routing in mobile ad hoc networks. Science Direct Ad Hoc Networks, 11, 2096–2114.

  14. Moussaoui, A., Semchedine, F., & Boukerram, A. (2014). A link-state QoS routing protocol based on link stability for mobile ad hoc networks. Journal of Network and Computer Applications, 39, 117–125.

  15. Kumar, K., & Singh, V. P. (2014). Power consumption based simulation model for mobile ad-hoc network. Wireless Personal Communications, 77, 1437–1448.

  16. Kumar Jain, Y., & Kumar Verma, R. (2012). Energy level accuracy and life time increased in mobile ad-hoc networks using OLSR. International Journal of Advanced Research in Computer Science and Software Engineering, 2, 97–103.

  17. Sheng, H., Wang, J., Huang, H., & Yen, D. (2006). Fuzzy measure on vehicle routing problem of hospital materials. Expert Systems with Applications, 30, 367–377.

  18. Budyal, V. R., & Manvi, S. S. (2014). ANFIS and agent based bandwidth and delay aware anycast routing in mobile ad hoc networks. Journal of Network and Computer Applications, 39, 140–151.

  19. Yuanzhou, L., & Weihua, H. (2010). Optimization strategy for mobile ad hoc network based on AODV routing protocol. In 6th international conference on wireless communications networking and mobile computing (WiCOM).

  20. Goswami, M. M., Rughwani, V., & Anjikar, A. (2013). A novel fuzzy stochastic routing protocol for mobile adhoc network. International Journal of Computer Science and Mobile Computing, 2, 98–106.

  21. Stojmenovic, I. (2002). Position-based routing in ad hoc networks. IEEE Communications Magazine, 40, 128–134.

  22. Naruephiphat, W., & Usaha, W. (2008). Balanced energy-efficient routing in MANETs using reinforcement learning. Nakhon Ratchasima: School of Telecommunication Engineering, Suranaree University of Technology.

    Book  Google Scholar 

  23. Su, B., Wang, M., & Huang, Y. (2007). Fuzzy logic weighted multi-criteria of dynamic route lifetime for reliable multicast routing in ad hoc networks. Journal of Expert Systems with Applications, 35, 476–484.

  24. Hasan, M. S., Hongnian, Yu., Griffiths, A., & Yang, T. (2007). Simulation of distributed wireless networked control systems over MANET using OPNET. In Proc ICNSC (pp. 699–704).

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Authors and Affiliations

  1. Department of Computer, Science and Research Branch, Islamic Azad University, Toward Hesarak, Ashrafi Esfehari Expressway, Poonak Square, Tehran, Iran

    Shayesteh Tabatabaei

  2. Faculty of Electrical and Computer Engineering, Control Center of Excellence, K.N.Toosi University of Technology, Tehran, Iran

    Mohammad Teshnehlab

  3. Department of Computer, Islamic Azad University, Center Tehran Branch, Tehran, Iran

    Seyed Javad Mirabedini

Authors
  1. Shayesteh Tabatabaei
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  2. Mohammad Teshnehlab
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  3. Seyed Javad Mirabedini
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Correspondence to Shayesteh Tabatabaei.

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Tabatabaei, S., Teshnehlab, M. & Mirabedini, S.J. Fuzzy-Based Routing Protocol to Increase Throughput in Mobile Ad Hoc Networks. Wireless Pers Commun 84, 2307–2325 (2015). https://doi.org/10.1007/s11277-015-2706-6

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  • DOI: https://doi.org/10.1007/s11277-015-2706-6

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