Journal of Soft Computing Paradigm
IRO Journals
Volume 1 — Issue 2 — December 2019

QOS ENHANCED ROUTING PROTOCOLS FOR VEHICULAR NETWORK USING SOFT COMPUTING TECHNIQUE

https://doi.org/10.36548/jscp.2019.2.004
Wang Haoxiang
Director and lead executive faculty member, GoPerception Laboratory, NY
S. Smys
Professor, Department of CSE, RVS Technical Campus, Coimbatore, India
PDF
PDF

How to Cite

Haoxiang, Wang, and S. Smys. 2019. “QOS ENHANCED ROUTING PROTOCOLS FOR VEHICULAR NETWORK USING SOFT COMPUTING TECHNIQUE”. Journal of Soft Computing Paradigm 1 (2): 91-102. https://doi.org/10.36548/jscp.2019.2.004.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Vehicular Network
— Soft Computing
— Evolutionary Algorithm
— Ant Colony Optimization
— Clustering
— Quality of Service
Published: 31-12-2019

Abstract

The vehicular network that scopes to reach the internet access to make use of the available service on road along with the improvement in the safety and convenience while travelling has become a very popular area of research as they lay as the foundation for the intelligent transportation system. But due to the high mobility of the vehicles the network topology remains dynamic and the connectivity between the vehicles keep on changing reducing the life expectancy of the links and failures in the delivery of the services. So this paves way for the entailment of the more effective routing protocol that would heighten the vehicular network quality of service. The proposed method in the paper puts forth the modified Ant colony optimization that integrates the clustering technique to frame optimal shortest route for the internet access in the vehicular network to manage its mobility and the topology changes. The process of optimal route selection taking into consideration the mobility and the dynamic topology is evaluated using the network simulator tool to prove the capabilities of the proposed method on the grounds of bandwidth utilization throughput delay and link life expectancy.

References

  1. Zaghar, Dhafer R., and Thulfiqar S. Aldeen A. AL Wahab. "Simplified the QoS factor for the ad-hoc network using fuzzy technique." International Journal of Communications, Network and System Sciences 6, no. 09 (2013): 381.
  2. Toutouh, Jamal, and Enrique Alba. "Parallel swarm intelligence for VANETs optimization." In 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 285-290. IEEE, 2012.
  3. Kaur, Shabad, and A. Virk. "AODV extension using genetic algorithm in VANET." International Journal of Science and Research 4, no. 7 (2015): 2420-2422.
  4. Sharawi, Marwa, Imane Aly Saroit, Hesham El-Mahdy, and Eid Emary. "Routing wireless sensor networks based on soft computing paradigms: survey." International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) 2, no. 4 (2013): 21-36.
  5. Jindal, Jaspal, and Vishal Gupta. "Fuzzy Improved Genetic Approach for Route Optimization in MANET." International Journal of Advanced Research in Computer Science and Software Engineering 3, no. 6 (2013).
  6. Giri, Parimal Kumar. "A Survey on Soft Computing Techniques for Multi-Constrained QoS Routing in MANET." International Journal of Computer and Information Technology (IJCIT), ISSN (2012): 2218-5224.
  7. Vijayakumar, V., P. Inbavalli, K. Suresh Joseph, J. Amudhavel, D. Rajaguru, S. Sampath Kumar, T. Vengattaraman, and K. Premkumar. "Research on QoS aware dynamic reconfiguration and performance measures in VANET." In 2015 Global Conference on Communication Technologies (GCCT), pp. 829-833. IEEE, 2015.
  8. Nancharaiah, B., and B. Chandra Mohan. "Hybrid optimization using ant colony optimization and cuckoo search in manet routing." In 2014 International Conference on Communication and Signal Processing, pp. 1729-1734. IEEE, 2014.
  9. Baskaran, Anush, Nikhil Chaudhari, Ronnie D. Caytiles, and N. C. S. Iyengar. "Fuzzy optimized and bee inspired routing protocol for improved qos in mobile ad hoc networks." International Journal of Control and Automation 9, no. 8 (2016): 391-402.
  10. Benamar, Nabil, Kamal D. Singh, Maria Benamar, Driss El Ouadghiri, and Jean-Marie Bonnin. "Routing protocols in vehicular delay tolerant networks: A comprehensive survey." Computer Communications 48 (2014): 141-158.
  11. Kumar, Rakesh, and Mayank Dave. "A comparative study of Various Routing Protocols in VANET." arXiv preprint arXiv:1108.2094 (2011).
  12. Kaur, Kavneet, and Sandeep Kad. "A Study of Reliable Routing Protocols for Vehicular Ad hoc Networks." International Journal of Computer Applications 133, no. 3 (2016): 37-42.
  13. Bhalaji, N. "PERFORMANCE EVALUATION OF FLYING WIRELESS NETWORK WITH VANET ROUTING PROTOCOL." Journal of ISMAC 1, no. 01 (2019): 56-71.
  14. Raj, Jennifer S., S. Smys, and Abul Bashar. "ENERGY EFFICIENT MULTI-TIER SUSTAINABLE SECURE ROUTING PROTOCOL FOR MOBILE WIRELESS SENSOR NETWORKS."
  15. Hoang, Duc Chinh, Rasjesh Kumar, and Sanjib Kumar Panda. "Realisation of a cluster-based protocol using fuzzy C-means algorithm for wireless sensor networks." IET Wireless Sensor Systems 3, no. 3 (2013): 163-171.