Loading...

Elaris Computing Nexus

Elaris Computing Nexus


Performance Evaluation of Routing Protocols for Vehicle-to-Vehicle Communication in Urban VANETs Using Simulation Based Metrics


Elaris Computing Nexus

Received On : 14 April 2025

Revised On : 12 June 2025

Accepted On : 30 June 2025

Published On : 23 July 2025

Volume 01, 2025

Pages : 083-094


Abstract

Transportation intelligent interface requires Vehicular Ad Hoc Networks that enable management of traffic, provision of road safety and traffic optimization in cities. Dynamic urban landscapes have challenged current routing protocols including AODV, DSR and OLSR with the speed of node movement and fluctuating traffic density and connectivity asymmetry. These restrictions may result in routing lengthiness, additional end-to-end latency, increased control wastage and axiomatic packet transfer. As a way of eliminating these obstacles, the following paper introduces a simplified VANET routing model combining smarter node prioritization, smart path selection and smart lossless routing to guarantee the forwarding of packets. The most dynamic nodes in the model occur relative to the throughput, connectivity and the likelihood of the loss of packets and other related matters and achieves the best possible paths with few hops, latency and controlling traffic and maximum reliability. The strategy exploits the strengths of the high throughput nodes as relays in the backbone and avoids the low throughput nodes to enhance easier distribution of traffic and low bottlenecks. Performance is assessed on the simulation of an urban VANET on a snapshot basis and finally, measurements of performance are the path length, end-to-end delay, throughput, routing overhead, and the loss of packets. Visualizations such as network graphs, routing paths, and intensity heatmaps of coverage as well as the level of throughput of individual nodes all reveal the general behaviour of the network and individual nodes. The results have revealed that the model is superior to the conventional reactive and proactive model in that it offers shorter route, latency and larger throughput and lessened overhead and augmented reliability. The proposed routing model is a robust and adaptable solution to dynamic urban VANET settings that may have desirable values to both useful and scaled motives to next-generation vehicle to vehicle communication networks.

Keywords

Routing Protocols, Urban Mobility, Path Optimization, Packet Delivery Reliability, Network Throughput, Control Overhead.

  1. H. Abualola, H. Otrok, R. Mizouni, and S. Singh, “A V2V charging allocation protocol for electric vehicles in VANET,” Vehicular Communications, vol. 33, p. 100427, Jan. 2022, doi: 10.1016/j.vehcom.2021.100427.
  2. P. Shah and T. Kasbe, “A review on specification evaluation of broadcasting routing protocols in VANET,” Computer Science Review, vol. 41, p. 100418, Aug. 2021, doi: 10.1016/j.cosrev.2021.100418.
  3. R. Kaur et al., “A Comprehensive Framework for Emergency Message Dissemination in Urban VANET Scenarios: A Comparative Analysis of Clustering-Based Routing Protocols,” IEEE Access, vol. 12, pp. 174284–174296, 2024, doi: 10.1109/access.2024.3502718.
  4. S. Zhou, D. Li, Q. Tang, Y. Fu, C. Guo, and X. Chen, “Multiple intersection selection routing protocol based on road section connectivity probability for urban VANETs,” Computer Communications, vol. 177, pp. 255–264, Sep. 2021, doi: 10.1016/j.comcom.2021.08.004.
  5. P. Sehrawat and M. Chawla, “Interpretation and Investigations of Topology Based Routing Protocols Applied in Dynamic System of VANET,” Wireless Personal Communications, vol. 128, no. 3, pp. 2259–2285, Sep. 2022, doi: 10.1007/s11277-022-10042-3.
  6. P. Patankar, S. Dorle, N. Wyawahare, and L. P. Thakre, “Comparative Study on Design Of AI-Based Communication Protocol For VANET,” 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Oct. 2022, doi: 10.1109/icccmla56841.2022.9989247.
  7. M. M. A. Muslam, “Enhancing Security in Vehicle-to-Vehicle Communication: A Comprehensive Review of Protocols and Techniques,” Vehicles, vol. 6, no. 1, pp. 450–467, Feb. 2024, doi: 10.3390/vehicles6010020.
  8. P. Upadhyay et al., “An improved deep reinforcement learning routing technique for collision-free VANET,” Scientific Reports, vol. 13, no. 1, Dec. 2023, doi: 10.1038/s41598-023-48956-y.
  9. I. A. Aljabry and G. A. Al-Suhail, “A QoS Evaluation of AODV Topology-Based Routing Protocol in VANETs,” 2022 International Conference on Engineering & MIS (ICEMIS), pp. 1–6, Jul. 2022, doi: 10.1109/icemis56295.2022.9914282.
  10. V. K. Quy, V. H. Nam, D. M. Linh, N. T. Ban, and N. D. Han, “Communication Solutions for Vehicle Ad-hoc Network in Smart Cities Environment: A Comprehensive Survey,” Wireless Personal Communications, vol. 122, no. 3, pp. 2791–2815, Aug. 2021, doi: 10.1007/s11277-021-09030-w.
  11. X. Wang, Y. Weng, and H. Gao, “A Low-Latency and Energy-Efficient Multimetric Routing Protocol Based on Network Connectivity in VANET Communication,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 4, pp. 1761–1776, Dec. 2021, doi: 10.1109/tgcn.2021.3100526.
  12. M. Malakar, B. Bhabani, and J. Mahapatro, “NS3-Based Performance Assessment of Routing Protocols AODV, OLSR and DSDV for VANETs,” Advances in Distributed Computing and Machine Learning, pp. 1–14, 2023, doi: 10.1007/978-981-99-1203-2_1.
  13. R. Attia, A. Hassaan, and R. Rizk, “Advanced Greedy Hybrid Bio-Inspired Routing Protocol to Improve IoV,” IEEE Access, vol. 9, pp. 131260–131272, 2021, doi: 10.1109/access.2021.3114646.
  14. G. D. Singh, M. Prateek, S. Kumar, M. Verma, D. Singh, and H.-N. Lee, “Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs,” IEEE Access, vol. 10, pp. 9142–9151, 2022, doi: 10.1109/access.2022.3142811.
  15. R. L. Khan, R. Singh, R. Vijay, R. Kumar, A. Singh, and D. Ather, “Evaluating the Impact of Different Routing Protocols on VANET Performance,” 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), pp. 308–314, Dec. 2023, doi: 10.1109/smart59791.2023.10428409.
  16. R. I. Al-Essa and G. A. Al-Suhail, “An Efficacy of Transmission Power on DYMO Routing Protocol in VANET,” 2022 International Conference on Engineering & MIS (ICEMIS), pp. 1–6, Jul. 2022, doi: 10.1109/icemis56295.2022.9914309.
  17. S. Harrabi, I. B. Jaafar, and K. Ghedira, “Survey on IoV Routing Protocols,” Wireless Personal Communications, vol. 128, no. 2, pp. 791–811, Sep. 2022, doi: 10.1007/s11277-022-09976-5.
CRediT Author Statement

The author reviewed the results and approved the final version of the manuscript.

Acknowledgements

The authors would like to thank to the reviewers for nice comments on the manuscript.

Funding

No funding was received to assist with the preparation of this manuscript.

Ethics Declarations

Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

Availability of Data and Materials

Data sharing is not applicable to this article as no new data were created or analysed in this study.

Author Information

Contributions

All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.

Corresponding Author



Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit: https://creativecommons.org/licenses/by-nc-nd/4.0/

Cite this Article

Jain Emadi, “Performance Evaluation of Routing Protocols for Vehicle-to-Vehicle Communication in Urban VANETs Using Simulation Based Metrics”, Elaris Computing Nexus, pp. 083-094, 2025, doi: 10.65148/ECN/2025009.

Copyright

© 2025 Jain Emadi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.