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

Deft Particle Swarm Optimization-Based Routing Protocol (DPSORP) for Energy Consumption Minimization in Mobile Ad-Hoc Network

Author NameAuthor Details

S. Preema, M. Thilagu

S. Preema[1]

M. Thilagu[2]

[1]Department of Computer Science, Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore, Tamil Nadu, India

[2]Department of Computer Science, Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore, Tamil Nadu, India

Cite this Article

DOI: 10.22247/ijcna/2022/215922

Pages : 641-652

 Download PDF

1422

Views

Abstract

Rapid technological development in the wireless communication sector has improved mobile ad hoc networks (MANETs) to serve a variety of domains, such as military activities, emergency operations, civilian settings, and disaster management. Self-organizing mobile nodes in MANET work together to create a dynamic network architecture to make connections. Before reaching its destination node in a MANET, data must pass through several intermediate nodes. For the creation and maintenance of routes, local link connection is crucial. This paper proposes the Deft Particle Swarm Optimization-based Routing Protocol (DPSORP) to reduce delay, which minimizes energy consumption. DPSORP gives precedence for local and global optimal routes. Before using a route for data transmission, DPSORP assesses its quality using two distinct kinds of rules. DPSORP uses a multi-path for data transmission rather than relying on a single path. Using the NS3 simulator and common network performance metrics and parameters, DPSORP is evaluated. The findings demonstrate unequivocally that the proposed routing protocol, DPSORP, outperforms existing routing protocols in terms of reducing delay and energy consumption.

Index Terms

MANET

Routing

PSO

Optimization

Energy

Swarming

Reference

  1. 1.
    J. Vinayagam, C. H. Balaswamy, and K. Soundararajan, “Certain Investigation on MANET Security with Routing and Blackhole Attacks Detection,” Procedia Comput. Sci., vol. 165, pp. 196–208, 2019, doi: https://doi.org/10.1016/j.procs.2020.01.091.
  2. 2.
    C. K. da S. Rodrigues and V. Rocha, “Enhancing BitTorrent for efficient interactive video-on-demand streaming over MANETs,” J. Netw. Comput. Appl., vol. 174, p. 102906, 2021, doi: https://doi.org/10.1016/j.jnca.2020.102906.
  3. 3.
    L. Zhang, L. Hu, F. Hu, Z. Ye, X. Li, and S. Kumar, “Enhanced OLSR routing for airborne networks with multi-beam directional antennas,” Ad Hoc Networks, vol. 102, p. 102116, 2020, doi: https://doi.org/10.1016/j.adhoc.2020.102116.
  4. 4.
    L. E. Jim, N. Islam, and M. A. Gregory, “Enhanced MANET security using artificial immune system based danger theory to detect selfish nodes,” Comput. Secur., vol. 113, p. 102538, 2022, doi: https://doi.org/10.1016/j.cose.2021.102538.
  5. 5.
    M. Kalewski and J. Brzezi?ski, “Uniform and regular reliable broadcast protocols facilitating concurrent message dissemination for mobile ad hoc networks with the network liveness property,” J. Netw. Comput. Appl., vol. 199, p. 103300, 2022, doi: https://doi.org/10.1016/j.jnca.2021.103300.
  6. 6.
    N. Rajesh Kumar, R. Nandakumar, R. P. Meenaakshisundhari, K. Siddharthraju, M. Nisha Angeline, and P. Vijayakumar, “An improved two-way secure key supervision (tsks) scheme for secure scada,” Mater. Today Proc., 2021, doi: https://doi.org/10.1016/j.matpr.2020.12.1221.
  7. 7.
    G. Feng, X. Li, Z. Gao, C. Wang, H. Lv, and Q. Zhao, “Multi-Path and Multi-Hop Task Offloading in Mobile Ad Hoc Networks,” IEEE Trans. Veh. Technol., vol. 70, no. 6, pp. 5347–5361, 2021, doi: 10.1109/TVT.2021.3077691.
  8. 8.
    K. S. 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,” IEEE Access, vol. 9, pp. 21735–21745, 2021, doi: 10.1109/ACCESS.2021.3055422.
  9. 9.
    A. Singh and A. Nagaraju, “Low latency and energy efficient routing-aware network coding-based data transmission in multi-hop and multi-sink WSN,” Ad Hoc Networks, vol. 107, p. 102182, 2020, doi: https://doi.org/10.1016/j.adhoc.2020.102182.
  10. 10.
    I. Manolopoulos, K. Kontovasilis, I. Stavrakakis, and S. C. A. Thomopoulos, “Methodologies for calculating decision-related event occurrence times, with applications to effective routing in diverse MANET environments,” Ad Hoc Networks, vol. 99, p. 102068, 2020, doi: https://doi.org/10.1016/j.adhoc.2019.102068.
  11. 11.
    C. R. da C. Bento and E. C. G. Wille, “Bio-inspired routing algorithm for MANETs based on fungi networks,” Ad Hoc Networks, vol. 107, p. 102248, 2020, doi: https://doi.org/10.1016/j.adhoc.2020.102248.
  12. 12.
    J. S. P. Singh and M. K. Rai, “CROP: Cognitive radio ROuting Protocol for link quality channel diverse cognitive networks,” J. Netw. Comput. Appl., vol. 104, pp. 48–60, 2018, doi: https://doi.org/10.1016/j.jnca.2017.12.014.
  13. 13.
    J. Ramkumar and R. Vadivel, “Performance Modeling of Bio-Inspired Routing Protocols in Cognitive Radio Ad Hoc Network to Reduce End-to-End Delay,” Int. J. Intell. Eng. Syst., vol. 12, no. 1, pp. 221–231, 2019, doi: 10.22266/ijies2019.0228.22.
  14. 14.
    J. Ramkumar and R. Vadivel, “Multi-Adaptive Routing Protocol for Internet of Things based Ad-hoc Networks,” Wirel. Pers. Commun., vol. 120, no. 2, pp. 887–909, Apr. 2021, doi: 10.1007/s11277-021-08495-z.
  15. 15.
    R. Jaganathan and R. Vadivel, “Intelligent Fish Swarm Inspired Protocol (IFSIP) for Dynamic Ideal Routing in Cognitive Radio Ad-Hoc Networks,” Int. J. Comput. Digit. Syst., vol. 10, no. 1, pp. 1063–1074, 2021, doi: 10.12785/ijcds/100196.
  16. 16.
    L. A. L. F. da Costa, R. Kunst, and E. Pignaton de Freitas, “Q-FANET: Improved Q-learning based routing protocol for FANETs,” Comput. Networks, vol. 198, p. 108379, 2021, doi: https://doi.org/10.1016/j.comnet.2021.108379.
  17. 17.
    R. Almesaeed and A. Jedidi, “Dynamic directional routing for mobile wireless sensor networks,” Ad Hoc Networks, vol. 110, p. 102301, 2021, doi: https://doi.org/10.1016/j.adhoc.2020.102301.
  18. 18.
    D. Zhang, T. Zhang, Y. Dong, X. Liu, Y. Cui, and D. Zhao, “Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning,” J. Netw. Comput. Appl., vol. 122, pp. 37–49, 2018, doi: https://doi.org/10.1016/j.jnca.2018.07.018.
  19. 19.
    M. L. Eksert, H. Yücel, and E. Onur, “Intra- and inter-cluster link scheduling in CUPS-based ad hoc networks,” Comput. Networks, vol. 185, p. 107659, 2021, doi: https://doi.org/10.1016/j.comnet.2020.107659.
  20. 20.
    K. A. Darabkh, O. M. Amro, R. T. Al-Zubi, and H. B. Salameh, “Yet efficient routing protocols for half- and full-duplex cognitive radio Ad-Hoc Networks over IoT environment,” J. Netw. Comput. Appl., vol. 173, p. 102836, 2021, doi: https://doi.org/10.1016/j.jnca.2020.102836.
  21. 21.
    W. Wang, B. Yang, O. Takahashi, X. Jiang, and S. Shen, “On the packet delivery delay study for three-dimensional mobile ad hoc networks,” Ad Hoc Networks, vol. 69, pp. 38–48, Feb. 2018, doi: 10.1016/j.adhoc.2017.10.004.
  22. 22.
    T. Le, “Multi-hop routing under short contact in delay tolerant networks,” Comput. Commun., vol. 165, pp. 1–8, 2021, doi: https://doi.org/10.1016/j.comcom.2020.10.018.
  23. 23.
    B. Hammi, S. Zeadally, H. Labiod, R. Khatoun, Y. Begriche, and L. Khoukhi, “A secure multi-path reactive protocol for routing in IoT and HANETs,” Ad Hoc Networks, vol. 103, p. 102118, Jun. 2020, doi: 10.1016/J.ADHOC.2020.102118.
  24. 24.
    R. N. Raj, A. Nayak, and M. Sathish Kumar, “QoS-aware routing protocol for Cognitive Radio Ad Hoc Networks,” Ad Hoc Networks, vol. 113, p. 102386, 2021, doi: https://doi.org/10.1016/j.adhoc.2020.102386.
  25. 25.
    A. Samuylov, D. Moltchanov, R. Kovalchukov, A. Gaydamaka, A. Pyattaev, and Y. Koucheryavy, “GAR: Gradient assisted routing for topology self-organization in dynamic mesh networks,” Comput. Commun., vol. 190, pp. 10–23, 2022, doi: https://doi.org/10.1016/j.comcom.2022.03.023.
  26. 26.
    A. S. Sharma and D. S. Kim, “Energy efficient multi-path ant colony based routing algorithm for mobile ad hoc networks,” Ad Hoc Networks, vol. 113, p. 102396, 2021, doi: https://doi.org/10.1016/j.adhoc.2020.102396.
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