Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance

  • Authors

    • Nageswara Rao Sirisala
    • Raswitha Bandi
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.20488
  • Competency Factor, Fuzzy Logic, Multicast tree, Quality of Service

  • Abstract

    Mobile ad-hoc network (MANET) is a decentralized and infrastructure less network where a nodes can communicate with other nodes within the access region. Due to mobility node can enter and leave a network at any moment. Due to unstable nature of MANETs, the provision of Quality of Service (QoS) to the applications is a difficult task. In this paper, fuzzy logic enabled QoS multicast routing is proposed. Here energy, bandwidth and link expiry time are considered as a QoS parameters. The existing methods lost their performance in handling multi constrained QoS protocols, since defining the dynamic priorities among the multiple QoS parameters is not a trivial task. In the proposed method “Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance-FQMLâ€, this issue is overcome by using fuzzy logic. The Competency Factor of each intermediate node along the route is calculated by aggregating it’s QoS parameters using fuzzy inference system. In the classical multicast protocols, some of the nodes in the multicast tree are overloaded by having multiple branches towards the destination nodes. This leads to partition of the multicast tree and degrades the performance of protocols. In the proposed method, this problem is handled by limiting the number of branches at intermediate nodes. The results are taken in network simulator-ns2, where the proposed method could measure less number of path failures and improved results than existing methods.

     

  • References

    1. [1] NageswaraRao Sirisala and C.Shoba Bindu. A Novel QoS Trust Computation in MANETs Using Fuzzy Petri Nets, International Journal of Intelligent Engineering and Systems, Vol.10, No.2, (2017), pp 116-125.

      [2] NageswaraRao Sirisala and C.Shoba Bindu. Recommendations Based QoS Trust Aggregation and Routing in Mobile Adhoc Networks, International Journal of Communication Networks and Information Security (IJCNIS), Vol 8, No 3, (2016), pp 215-220.

      [3] Fei Hao; Geyong Min; Man Lin; Changqing Luo; Yang, L.T. 2014, “MobiFuzzyTrust: An Efficient Fuzzy Trust Inference Mechanism in Mobile Social Networksâ€, IEEE Transactions on Parallel and Distributed Systems, vol.25, no.11, pp.2944-2955.

      [4] Zhexiong Wei; Tang, H.; Yu, F.R.; Maoyu Wang; Mason, P., 2014 “Security Enhancements for Mobile Ad Hoc Networks With Trust Management Using Uncertain Reasoning,†IEEE Transactions on Vehicular Technology, vol.63, no.9, pp.4647-4658.

      [5] Sirisala, NageswaraRao.; C.Shoba Bindu. 2014 “Weightage based trusted QoS protocol in Mobile Adhoc Networksâ€, IEEE Global Conference on Wireless Computing and Networking (GCWCN), pp.283-287.

      [6] Lei Ju, Edwin H. M. Sha, Hui Xia, Zhiping Jia, Xin Li, 2013 “Trust prediction and trust-based source routing in mobile ad hoc networks†Ad Hoc Networks Elsevier,Vol. 11, No. 7, pp. 2096-2114.

      [7] NageswaraRao Sirisala and C.Shoba Bindu. Uncertain Rule Based Fuzzy Logic QoS Trust Model in MANETs, International Conference on Advanced Computing and Communications -ADCOM, (IITM PhD forum), (2015), pp.55-60.

      [8] Ruifeng Zhang, Olivier Berder, Jean-Marie Gorce, Olivier Sentieys 2012 “Energy–delay trade off in wireless multihop networks with unreliable linksâ€,,Ad Hoc Networks v10, pp1306–1321.

      [9] Nicola Costagliola · Pedro Garçia López ·Francesco Oliviero · Simon Pietro Romano, 2012 “Energy- and Delay-Efficient Routing in Mobile Ad Hoc Networksâ€. Mobile Network Applications v17 pp:281–297.

      [10] Luo Junhai, Ye Danxia, Xue Liu, and Fan Mingyu, 2009 “A Survey of Multicast Routing Protocols for Mobile Ad-Hoc Networksâ€. IEEE Communications Surveys & Tutorials, (Volume:11, Issue: 1), Page(s):78 – 91.

      [11] Mina Masoudifar, 2009 “A review and performance comparison of QoS multicast routing protocols for MANETs†Ad Hoc Networks 7(6), pp:1150–1155.

      [12] Ben-Jye Chang and Szu-Liang Kuo, 2009 “Markov Chain Trust Model for Trust-Value Analysis and Key Management in Distributed Multicast MANETsâ€, IEEE Transactions on Vehicular Technology, vol.58, no.4, pp.1846-1863.

      [13] Chia-Cheng Hu, Eric Hsiao-Kuang Wu, Gen-HueyChen, 2008 “bandwidth-Satisfied Multicast Trees in MANETsâ€, IEEE Transactions On Mobile Computing, Vol. 7, No. 6,pp:712-723.

      [14] Guo, S. 2007 “Energy-aware multicasting in wireless ad hoc networks: A survey and discussion’, Computer Communicationsâ€, Volume 30 Issue 9, Pages 2129-2148.

      [15] Huayi Wu, Xiaohua Jia, 2007 “QoS multicast routing by using multiple paths/trees in wireless ad hoc networksâ€, Ad Hoc Networks Volume 5 Issue 5, pages 600-612.

      [16] Nen-Chung Wang, Yung-Fa Huang · Yu-Li Su 2007 “A Power-Aware Multicast Routing Protocol for Mobile AdHoc Networks With Mobility Predictioâ€, Wireless Personal Communications, Vol 43:pp.1479–1497.

      [17] Jing Nie, Jiangchua Wen, Ji Luo, Xin He, Zheng Zhou 2006 “An adaptive fuzzy logic based secure routing protocol in mobile ad hoc networksâ€, Fuzzy Sets and Systems, Volume 157, Issue 12, 16 Pages 1704-1712.

      [18] Baolin, S. and Layuan, L. 2005 “On the reliability of MAODV in ad hoc networksâ€, IEEE international symposium on microwave, antenna, propagation and EMC technologies for wireless communications, Vol. 2, pp. 1514–1517.

      [19] Q. Xue and A. Ganz, “Ad Hoc QoS On-demand Routing (AQOR) in Mobile Ad hoc Networks,†J. Parallel and Distrib. Comp., vol. 62, no. 2, Feb. 2003, pp. 154–65.

      [20] Kuei-Ping Shih. 2002 “A TDMA-based bandwidth reservation protocol for QoS routing in a wireless mobile ad hoc Networkâ€, IEEE International Conference on Communications Conference Proceedings ICC (Cat No 02CH37333) ICC-02.

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  • How to Cite

    Sirisala, N. R., & Bandi, R. (2018). Fuzzy Logic Aware QoS Multicasting in MANETs with Load Balance. International Journal of Engineering & Technology, 7(4.6), 269-274. https://doi.org/10.14419/ijet.v7i4.6.20488

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-09-25