International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

MENU
International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Adaptive Neuro-Fuzzy Inference System Based On-Demand Fault Tolerant Routing Protocol (ANFIS-ODFTR) for MANETs

Author NameAuthor Details

Suneel Kumar Duvvuri, S. Ramakrishna

Suneel Kumar Duvvuri[1]

S. Ramakrishna[2]

[1]Department of Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India

[2]Department of Computer Science, S V University, Tirupati, Andhra Pradesh, India

Cite this Article

DOI: 10.22247/ijcna/2021/210721

Pages : 719-729

 Download PDF

1863

Views

Abstract

Due to adverse characteristics such as open medium, recurrent restructuring of paths, power constraints, and high mobility of MANETs, the nodes and links failed frequently. These failures increase the control overhead because of the tedious route discovery process. Thereby the performance of the network diminished drastically. Devising an efficient on-demand routing protocol with fault tolerance is a challenging task. Detecting and removal of these faulty nodes during data transmission without affecting the communication flow is very critical because of the unavailability of path information. The research challenge of designing the effective fault tolerant routing protocol for MANET is addressed in this study. An Adaptive Neuro-Fuzzy Inference System was utilized to create a fault-tolerant routing system. The fault tolerant routing protocols based on numerical estimation are discussed. Simulation results have attested that the suggested approach considerably boosts the Packet Delivery Ratio while lowering the Routing Overhead.

Index Terms

MANET

Fuzzy Inference System

ANFIS

Hybrid Neural Network

ANN

Fault Tolerance

AODV

RSSI

Reference

  1. 1.
    Sheng Liu, Yang Yang, Weixing Wang, Research of AODV Routing Protocol for Ad Hoc Networks1, AASRI Procedia, Volume 5,2013, Pages 21-31, ISSN 2212-6716, https://doi.org/10.1016/j.aasri.2013.10.054.
  2. 2.
    Almazok, S.A., Bilgehan, B. A novel dynamic source routing (DSR) protocol based on minimum execution time scheduling and moth flame optimization (MET-MFO). J Wireless Com Network 2020, 219 (2020). https://doi.org/10.1186/s13638-020-01802-5
  3. 3.
    Hussain, Salim. (2011). Effect of Mobility Model on the Performance of DSDV Protocol in MANET.
  4. 4.
    Thakrar, Payal and Singh, Vijander and Kotecha, Ketan, Study of Routing Limitation of OLSR Protocol in Mobile Ad Hoc Networks (October 18, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019
  5. 5.
    Y. Chapre, P. Mohapatra, S. Jha and A. Seneviratne, "Received signal strength indicator and its analysis in a typical WLAN system (short paper)," 38th Annual IEEE Conference on Local Computer Networks, 2013, pp. 304-307, doi: 10.1109/LCN.2013.6761255.
  6. 6.
    Çayda?, Ula? & Hasçal?k, Ahmet & Ekici, Sami. (2009). An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM. Expert Systems with Applications. 36. 6135-6139. 10.1016/j.eswa.2008.07.019.
  7. 7.
    A. Sarfaraz Ahmed, T. Senthil Kumaran, S. Syed Abdul Syed, S. Subburam, Cross-Layer Design Approach for Power Control in Mobile Ad Hoc Networks, Egyptian Informatics Journal,Volume 16, Issue 1,2015,Pages 1-7,ISSN 1110-8665,https://doi.org/10.1016/j.eij.2014.11.001.
  8. 8.
    H. Zhong and T. Zhou, "Research and Implementation of AOMDV Multipath Routing Protocol," 2018 Chinese Automation Congress (CAC), 2018, pp. 611-616, doi: 10.1109/CAC.2018.8623785.
  9. 9.
    Nisha Chaudhary, Er Shiv Kumar Goel, Nitin Goel (2015). A Deep Analysis: Highly Robust Fault Tolerant Secure Optimized Energy Ad-hoc Networks Methodologies for Mobile Nodes. International Journal of Advanced Research in Computer Science and Software Engineering, 5(7), pp.540-543
  10. 10.
    Ravichandra and Chandrasekar Reddy (2016). Fault tolerant QoS Routing Protocol for MANETs. IEEE International Conference on Advanced Computing, pp.34-45.
  11. 11.
    Senthilnathan Palaniappan and Kalaiarasan Chellan (2015). Energy-efficient stable routing using QoS monitoring agents in MANET. EURASIP Journal on Wireless Communications and Networking, 13(1), pp.1-11.
  12. 12.
    Fatemeh Tavakoli, Meisam Kamarei, Gholam Reza Asgari (2016). An Efficient Fault-Tolerance Routing Algorithm for Mobile Ad-hoc Networks. Journal of Advances in Computer Research, 7(2), pp.23-40.
  13. 13.
    M.S. Gaur, Swati Todi, Vijay Rao, Meenakshi Tripathi, Riti Kushwaha (2017). Multi-constraints Link Stable Multicast Routing Protocol in MANETs, Ad Hoc Networks, DOI: 10.1016/j.adhoc.2017.05.007.
  14. 14.
    Gopal Singh, Deepak Saini, Rahul Rishi, Harish Rohil, “Role of Link expiration time to make reliable link between the nodes in MANETs: A Review “International Journal of Applied Engineering Research ISSN 0973- 4562 Volume 11, Number 7 2016.
  15. 15.
    K. Sakthidasan Sankaran, N. Vasudevan, K. R. Devabalaji, T. S. Babu, H. H. Alhelou and T. Yuvaraj, "A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks," in IEEE Access, doi: 10.1109/ACCESS.2021.3055422.
  16. 16.
    Xin Ming Zhang, Member, IEEE, En Bo Wang, Jing Jing Xia, and Dan Keun Sung, Senior Member, IEEE, “An Estimated Distance-Based Routing Protocol for Mobile Ad hoc Networks ” IEEE Transactions on Vehicular Technology, VOL. 60, NO. 7, SEPTEMBER 2011.
  17. 17.
    B. H. Khudayer, M. Anbar, S. M. Hanshi and T. Wan, "Efficient Route Discovery and Link Failure Detection Mechanisms for Source Routing Protocol in Mobile Ad-Hoc Networks," in IEEE Access, vol. 8, pp. 24019- 24032, 2020, doi: 10.1109/ACCESS.2020.2970279.
  18. 18.
    A. Bhardwaj and H. El-Ocla, "Multipath Routing Protocol Using Genetic Algorithm in Mobile Ad Hoc Networks," in IEEE Access, vol. 8, pp. 177534-177548, 2020, doi: 10.1109/ACCESS.2020.3027043.
  19. 19.
    Sudip Misra et al., “A learning automata-based fault tolerant routing algorithm for mobile ad hoc networks”, Journal of Super compt(2012) 62:4–23
  20. 20.
    J.S.R. Jang, and C.T. Sun, “Neuro-Fuzzy Modeling and Control,” Proc. IEEE, vol. 83, no. 3, pp. 378-406, Mar. 1995.
  21. 21.
    A. Al-Hmouz, Jun Shen, R. Al-Hmouz and Jun Yan, "Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning" in IEEE Transactions on Learning Technologies, vol. 5, no. 03, pp. 226-237, 2012.
  22. 22.
    Arkhipov, M.; Krueger, E.; Kurtener, D. Evaluation of ecological conditions using bioindicators: Application of fuzzy modeling. In Proceedings of the International Conference on Computational Science and Its Applications, Perugia, Italy, 30 June–3 July 2008.
  23. 23.
    E. M. Dogo, O. J. Afolabi, N. I. Nwulu, B. Twala and C. O. Aigbavboa, "A Comparative Analysis of Gradient Descent-Based Optimization Algorithms on Convolution Neural Networks," 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), 2018, pp. 92-99, doi: 10.1109/CTEMS.2018.8769211.
  24. 24.
    Osama Younes, Nigel Thomas, Analysis of the Expected Number of Hops in Mobile Ad Hoc Networks with Random Waypoint Mobility, Electronic Notes in Theoretical Computer Science, Volume 275, 2011, Pages 143-158, ISSN 1571-0661, https://doi.org/ 10. 1016 /j.entcs . 2011.09.010.
  25. 25.
    Singh, K., & Gupta, R. (2021). SO-AODV: A Secure and Optimized Ad-Hoc On-Demand Distance Vector Routing Protocol Over AODV With Quality Assurance Metrics for Disaster Response Applications. Journal of Information Technology Research (JITR), 14(3), 87-103. http://doi.org/10.4018/JITR.2021070106
SCOPUS
SCImago Journal & Country Rank

Announcements

Archives

Downloads

Contact Us

Dr.M. Milton Joe
EverScience Publications,
Nagercoil, Tamilnadu,India

Talk to Us

+91 9442777224

Email Us

editor@ijcna.org

info@ijcna.org

info@everscience.org

Quick Links

Follow Us

Copyright © 2023; EverScience Publications

Designed & Maintained By Shiro Software Solutions