An optimal energy consuming protocol for localization using ANFIS residual energy for MANET

  • Authors

    • Vasim babu M KKR and KSR institute of technology and sciences
    • Ramasamy R Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai, Tamilnadu
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.10740
  • Residual Energy, Fuzzy Threshold Energy, ANFIS, Energy Efficient, MANET.
  • In recent years, the scientific community has acquired a fair amount of recognition on Mobile Adhoc Networks (MANETs). These devices are used in wide range of application scenarios due to its compact size, affordable devices consumed scarce energy and finite computing resources .These application includes biomedical health monitoring, environmental monitoring and target tracking where node localization is essentially another system parameter. Localization of nodes is mandatory in order to detail the emergence of events, routing and to respond queries regarding network coverage, oblige group enquiring of sensors. In this paper, a competent protocol is proposed that consumes less energy of nodes in MANET which is based on ANFIS residual threshold energy. The threshold value is determined based on the fuzzy membership functions. Primarily the neighborhood nodes of source are formulated using two factors: enclosed region and relaying region. The neighbor nodes deliberated by those factors adopt the maximum threshold value initiated using ANFIS. The node with maximum values of threshold and distance is preferred as the next hop for the transaction. The experimental outcome interprets that our protocol can prominently diminish the overall energy consumption considering for all environments.

  • References

    1. [1] Pinki Nayak, Rekha Agarwal, Seema Verma. An Overview of Energy Efficient Routing Protocols in Mobile Ad Hoc Network. International Journal of Research and Reviews in Ad hoc Networks. 2012; 2(1), 93-96.

      [2] Wei Liu, Nirwan Ansari. Cluster-Based Certificate Revocation with Vindication Capability for Mobile Ad Hoc Networks. IEEE Transaction on Parallel and Distributed Systems, 2013; 24(2), 239-249.https://doi.org/10.1109/TPDS.2012.85.

      [3] Khaled Alekeish, Paul Ezhilchelvan. Consensus in Sparse Mobile Ad Hoc Networks. IEEE Transactions on Parallel and Distributed systems. 2012; 23(3), 467 – 474.https://doi.org/10.1109/TPDS.2011.182.

      [4] Jihui Zhang, Qian Zhang, Bo Li, Xiaonan Luo, Wenwu Zhu. Energy-Efficient Routing in Mobile Ad Hoc Networks: Mobility-Assisted Case. IEEE Transaction on Vehicular Technology. 2006; 55(1), 369 - 379.https://doi.org/10.1109/TVT.2005.858174.

      [5] Parul Tomar, Vishal Saini. Efficient Routing Protocol for MANET. International Journal of Computer Networks and Wireless Communications. 2012; 2(4),1-6.

      [6] Soufiene Djahel, Zonghua Zhang, Farid Nait-Abdesselam, John Murphy. Fast and Efficient Countermeasure for MAC Layer Misbehavior in MANETs. IEEE Wireless Communication Letters, 2012; 1(5), 540 – 543.https://doi.org/10.1109/WCL.2012.080112.120367.

      [7] Sunho Lim, Member, Chansu Yu, Chita R. Das. RandomCast: An Energy-Efficient Communication Scheme for Mobile Ad Hoc Networks. IEEE Transaction on Mobile Computing. 2009; 8(8), 1039 - 1051.https://doi.org/10.1109/TMC.2008.178.

      [8] Gopinath.S, Sureshkumar.N, Vijayalakshmi.G, Natraj.N.A, Senthil.T, Prabu.P. Energy Efficient Routing Protocol for MANET. International Journal of Computer Science Issues. 2012; 9(2),1, 292-298.

      [9] Elhadi M. Shakshuki, Nan Kang, Tarek R. Sheltami. EAACK - A Secure Intrusion-Detection System for MANETs, IEEE Transactions on Industrial Electronics. 2013; 60(3), 1089 – 1098. https://doi.org/10.1109/TIE.2012.2196010.

      [10] P.S.Hiremath, Shrihari M.Joshi. Energy Efficient Routing Protocol with Adaptive Fuzzy Threshold Energy for MANETs. International Journal of Computer Networks and Wireless Communications. 2012; 2(3), 402-407.

      [11] Andy An-Kai Jeng, Rong-Hong Jan. Adaptive Topology Control for Mobile Ad Hoc Networks. IEEE Transactions on Parallel and Distributed System. 2011; 22(12), 1953 – 1960.https://doi.org/10.1109/TPDS.2011.68.

      [12] Patil V.P. On Demand and Table Driven Routing Protocol Energy Efficiency Performance Evaluation in Mobile Ad Hoc Networks. International Journal of Computer Science and Management Research, 2012; 1, 1702 – 1706.

      [13] P. Sivasankar, C. Chellappan, S. Balaji. Optimised Energy Efficient Routing Protocols and their Performance Comparison for MANET. European Journal of Scientific Research. 2012; 90,136-148.

      [14] Suchismita Rout, Ashok Kumar Turuk, Bibhudatta Sahoo. Energy Aware Routing Protocol in MANET using Power Efficient Topology Control Method. International Journal of Computer Applications. 2012; 43(5), 33-42.https://doi.org/10.5120/6101-8299.

      [15] M.Vasim babu, A.V.Ramprasad. Novel Strategy to improve the performance of localization in WSN, Scientific World Journal, Vol. 2015, Article ID 149767.

      [16] M.Vasim babu, A.V.Ramprasad. Adaptive self-localized Discrete Quasi Monte Carlo Localization (DQMCL) scheme for WSN based on antithetic markov model, International journal of Engineering and Technology, 2014, Vol. 6, No. 2, pp. 681-691.

      [17] M.Vasim babu, A.V.Ramprasad. OpteLoc: An optimal Energy consumption model for Localization for WSN using Multihop cluster routing and Discrete power control, Asian journal of information technology, 2012, Vol.11, No. 6, pp. 293-299.

      [18] M.Vasim babu, A.V.Ramprasad. Energy Aware Adaptive Monte Carlo Localization Algorithm for WSN Based on Antithetic Markov Chain (AMCAM), international journal of computer Engineering and technology, 2012, vol. 3, no. 1, pp.180-190.

      [19] M.Vasim babu, A.V.Ramprasad. Discrete antithetic Markov monte carlo based power mapping localization algorithm for WSN, IEEE international conference on advanced communication control and computing technologies (ICACCCT 2012), August 23-25, pp. 56-62.

      [20] M.Vasim babu, A.V.Ramprasad. Modified fuzzy C means and Ensemble based framework for Min cost localization and power constraints in three-dimensional Ocean sensor network, Indian journal of Science and technology, 2015, vol. 9, issue. 1.

      [21] C.N.S.Vinoth Kumar and A.Suhasini. Secured Three-Tier Architecture for Wireless Sensor Networks Using Chaotic Neural Networks. Advances in Intelligent Systems and Computing’ AISC Series, Springer Science + Business Media Singapore, 2017;507(13),129-136.

  • Downloads

  • How to Cite

    M, V. babu, & R, R. (2018). An optimal energy consuming protocol for localization using ANFIS residual energy for MANET. International Journal of Engineering & Technology, 7(2), 667-673. https://doi.org/10.14419/ijet.v7i2.10740