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Study and Design of Route Repairing Mechanism in MANET

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Design Frameworks for Wireless Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 82))

Abstract

Mobile Ad hoc Network (MANET) is a frameless, wireless network with no central access point. The network consists of migrant nodes. Topology is highly dynamic, unpredictable, and its probability of link failure is high due to continuous mobility of the nodes. As a result, we find that the nodes are no longer reachable and it moves away from the mobile or active path. This maximizes the dropping estimate, end-to-end delay and also undergoes cut in packet delivery rate thereby leading to degradation of network efficiency. In order to conquer such consequences, our work proposes designing of a route repairing mechanism in MANET. The basic idea of our proposed routing protocol is to find an optimal path based on the minimum hop count in the multipath scenario. Based on the widespread simulation of the proposed mechanism, done by adopting NS2 and by relative study of the same with existing protocol AODV, it was found that the projected routing mechanism helps in enhancing the performance and brings about improvement in ratio of packet delivery, packet loss as well as end-to-end delay.

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References

  1. Gautam, S. K., & Om, H. (2016). Computational neural network regression model for host based intrusion detection system. Perspectives in Science, 8, 93–95.

    Article  Google Scholar 

  2. Das, S. K., & Tripathi, S. (2018). Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming. Applied Intelligence, 48(7), 1825–1845. https://doi.org/10.1007/s10489-017-1061-6.

    Article  Google Scholar 

  3. Das, S. K., & Tripathi, S. (2017). Energy efficient routing formation technique for hybrid ad hoc network using fusion of artificial intelligence techniques. International Journal of Communication Systems, 30(16), e3340. https://doi.org/10.1002/dac.3340.

    Article  Google Scholar 

  4. Das, S. K., & Tripathi, S. (2016). Energy efficient routing protocol for MANET using vague set. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 235–245). Singapore: Springer.

    Google Scholar 

  5. Das, S. K., & Tripathi, S. (2015). Energy efficient routing protocol for MANET based on vague set measurement technique. Procedia Computer Science, 58, 348–355.

    Article  Google Scholar 

  6. Das, S. K., Tripathi, S., & Burnwal, A. P. (2015). Intelligent energy competency multipath routing in wanet. In Information systems design and intelligent applications (pp. 535–543). New Delhi: Springer.

    Google Scholar 

  7. Gautam, S. K., & Om, H. (2017). Comparative analysis of classification techniques in network based intrusion detection systems. In Proceedings of the First International Conference on Intelligent Computing and Communication (pp. 591–601). Singapore: Springer.

    Google Scholar 

  8. Yu, C. W., Wu, T. K., & Cheng, R. H. (2007). A low overhead dynamic route repairing mechanism for mobile ad hoc networks. Computer Communications, 30, 1152–1163.

    Article  Google Scholar 

  9. Binh, H. T. T., & Dey, N. (Eds.). (2018). Soft computing in wireless sensor networks. CRC Press.

    Google Scholar 

  10. Chowdhuri, S., Das, S. K., Roy, P., Chakraborty, S., Maji, M., & Dey, N. (2014, November). Implementation of a new packet broadcasting algorithm for MIMO equipped mobile ad-hoc network. In International Conference on Circuits, Communication, Control and Computing (pp. 372–376). IEEE.

    Google Scholar 

  11. Chowdhuri, S., Chaudhuri, S. S., Banerjee, P., Dey, N., Mandal, A., & Santhil, V. (2016). Secure minimum loss route selection of MIMO-based MANET in combined (indoor, outdoor, and forest) terrain. Working paper. International Journal Advanced Intelligence Paradigms, 1–26.

    Google Scholar 

  12. Youn, J.-S. (2006). Quick local repair scheme using adaptive promiscuous mode in mobile ad hoc networks. Journal of Networks, 1(1), 1–11.

    Article  Google Scholar 

  13. Jiang, M. H., & Jan, R. H. (2001). An efficient multiple paths routing protocol for ad-hoc networks. In Proceedings of Fifteenth IEEE International Conference on Information Networking (pp. 544–549).

    Google Scholar 

  14. Srinath, P., Abhilash, P., & Sridhar, I. (2002). Router handoff: A preemptive route repair strategy for AODV. In IEEE International Conference on Personal Wireless Communications (pp. 168–171).

    Google Scholar 

  15. Perkins, C. E. (1997, November). Ad hoc on demand distance vector (AODV) routing. In IETF Internet-Draft, draft-ietf-manet-aodv-00.txt.

    Google Scholar 

  16. Park, V. D., & Corson, M. S. ( 1997, April). A highly adaptive distributed routing algorithm for mobile wireless networks. In Proceedings of the INFOCOM ’97.

    Google Scholar 

  17. Joa-Ng, M., & Lu, I. T. (1999). A peer-to-peer zone-based two-level link state routing for mobile ad hoc networks. IEEE Journal on Selected Areas in Communications, 17(8), 1415–1425.

    Article  Google Scholar 

  18. Chung, C. M., Wang, Y. H., & Chuang, C. C. (2001). Ad hoc on-demand backup node setup routing protocol. In Proceedings of Fifteenth IEEE International Conference on Information Networking (pp. 933–937).

    Google Scholar 

  19. Srinivasan, T., Babu, T. N., Mahadevan, V., Nivedita, M., Sahitya, G., Meyyappan, A., et al. (2006). BFBR: A novel bird flocking behavior based routing for highly mobile ad hoc networks. In Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies an Internet Commerce (pp. 202–202).

    Google Scholar 

  20. Abdel-Moniem, A. M., Mohamed, M. H., & Hedar, A. R. (2010). An ant colony optimization algorithm for the mobile ad hoc network routing problem based on AODV protocol. In Proceedings of 10th International Conference on Intelligent Systems Design and Applications (ISDA) (pp. 1332–1337).

    Google Scholar 

  21. Dhurandher, S. K., Misra, S., Pruthi, P., Singhal, S., Aggarwal, S., & Woungang, I. (2011). Using bee algorithm for peer to peer file searching in mobile ad hoc networks. Journal of Networks and Computer Applications, 34(5), 1498–1508.

    Article  Google Scholar 

  22. Misra, S., & Rajesh, G. (2011). Bird flight-inspired routing protocol for mobile ad hoc networks. ACM Transactions on Autonomous and Adaptive Systems, 6(4), Article No. 25.

    Google Scholar 

  23. Jain, J., & Gupta, R. (2011). On demand local link repair algorithm for AODV protocol. International Journal of Computer Application, 35(5), 20–25.

    Article  Google Scholar 

  24. Naidu, P. P., & Chawla, M. (2012). Extended ad hoc on demand distance vector local repair trail for MANET. International Journal of Wireless & Mobile Networks (IJWMN), 4(2), 235–250.

    Article  Google Scholar 

  25. Subburam, S., & Khader, P. S. A. (2012). Efficient two hop local route repair mechanism using Qos-aware routing for mobile ad hoc networks. Indian Journal of Science and Technology, 5(11), 3651–3659.

    Google Scholar 

  26. Rao, K. S., & Shrivastava, L. (2012). Efficient local route repair method in AODV to reduce congestion in MANET. Corona Journal of Science and Technology, 1, 35–38.

    Google Scholar 

  27. Al-Ani, A., & Seitz, J. (2016). QoS-aware routing in multi-rate ad hoc networks based on ant colony optimization. Network Protocols and Algorithms, 7(4), 1–25.

    Article  Google Scholar 

  28. Singh, H., & Singh, P. (2017). Enhanced new clustering ant colony optimization based routing protocol AODV-R. International Journal of Computer Applications, 160(9), 24–27.

    Google Scholar 

  29. Sarkar, D., Choudhury, S., & Majumder, A. (2018). Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University—Computer and Information Sciences. ISSN 1319–1578.

    Google Scholar 

  30. Das, S. K., Yadav, A. K., & Tripathi, S. (2017). IE2M: Design of intellectual energy efficient multicast routing protocol for ad-hoc network. Peer-to-Peer Networking and Applications, 10(3), 670–687. https://doi.org/10.1007/s12083-016-0532-6.

    Article  Google Scholar 

  31. Yadav, A. K., Das, S. K., & Tripathi, S. (2017). EFMMRP: Design of efficient fuzzy based multi-constraint multicast routing protocol for wireless ad-hoc network. Computer Networks, 118, 15–23.

    Article  Google Scholar 

  32. Das, S. K., & Tripathi, S. (2018, May 1–21). Intelligent energy-aware efficient routing for MANET. Wireless Networks, 24(4), 1139–1159. https://doi.org/10.1007/s11276-016-1388-7.

    Article  Google Scholar 

  33. Das, S. K., & Tripathi, S. (2018). Energy efficient routing formation algorithm for hybrid ad-hoc network: A geometric programming approach. Peer-to-Peer Networking and Applications, 12(1), 102–128. https://doi.org/10.1007/s12083-018-0643-3.

    Article  Google Scholar 

  34. Mazumdar, N. & Om, H. (2017). DUCR: Distributed unequal cluster‐based routing algorithm for heterogeneous wireless sensor networks. International Journal of Communication Systems, 30. https://doi.org/10.1002/dac.3374.

    Article  Google Scholar 

  35. Mazumdar, N., & Om, H. (2017). Distributed fuzzy logic based energy-aware and coverage preserving unequal clustering algorithm for wireless sensor networks: Distributed energy-aware and coverage preserving unequal clusterING. International Journal of Communication Systems, 30, e3283. https://doi.org/10.1002/dac.3283.

    Article  Google Scholar 

  36. Mazumdar, N., & Om, H. (2018). Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks. International Journal of Communication Systems, 31(12), e3709. https://doi.org/10.1002/dac.3709.

    Article  Google Scholar 

  37. Chaya, S., Jayasree, P. V. Y., Kumar, S., & Sah, D. K. (2018). Boolean directional sensor orientation solution for K-coverage in wireless sensor network. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT), Dhanbad (pp. 1–6).

    Google Scholar 

  38. Sah, D. K., & Amgoth, T. (2018). Parametric survey on cross-layer designs for wireless sensor networks. Computer Science Review, 27, 112–134. https://doi.org/10.1016/j.cosrev.2017.12.002.

    Article  MathSciNet  Google Scholar 

  39. Sah, D. K., Shivalingagowda, C., & Praveen Kumar, D. (2018). Optimization problems in wireless sensors networks. In Soft computing in wireless sensor networks (pp. 41–62). Chapman and Hall/CRC.

    Google Scholar 

  40. Singh, A. K., Bera, T., & Pamula, R. (2018). PRCP: Packet replication control based prophet routing strategy for delay tolerant network. In 2018 4th International Conference on Recent Advances in Information Technology (RAIT) (pp. 1–5). IEEE.

    Google Scholar 

  41. Singh, A. K., & Pamula, R. (2018). IRS: Incentive based routing strategy for socially aware delay tolerant networks. In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 343–347). IEEE.

    Google Scholar 

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Correspondence to Harendra Kumar .

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Kumar, H., Malakar, M., Debnath, S., Rafi, M. (2020). Study and Design of Route Repairing Mechanism in MANET. In: Das, S., Samanta, S., Dey, N., Kumar, R. (eds) Design Frameworks for Wireless Networks. Lecture Notes in Networks and Systems, vol 82. Springer, Singapore. https://doi.org/10.1007/978-981-13-9574-1_6

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  • DOI: https://doi.org/10.1007/978-981-13-9574-1_6

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