Abstract
Vehicular Ad Hoc Networks (VANETs) play a critical role in ensuring safety and welfare applications for drivers and passengers amidst the escalating vehicular population in urban environments. The efficient functioning of VANETs hinges on addressing the challenge of load balancing among Road Side Units (RSUs). This paper introduces a groundbreaking approach aimed at enhancing real-time data transmission services within VANETs. The key contribution lies in the development of a multicast routing algorithm utilizing a geo-targeting protocol, facilitating simultaneous delivery of source data packets to multiple destinations. This innovative strategy aims to alleviate RSU congestion, thereby significantly enhancing the quality of real-time data transmission services. Moreover, this study presents advancements in the Statistical Match and Queuing algorithm, refining it over time to substantially mitigate network congestion and redundancy. Additionally, a Multi-Protocol Label Switching based algorithm is implemented to elevate service quality parameters, including end-to-end latency, packet loss, and overall network efficiency within in-vehicle networks. Importantly, this approach remains adaptable across various Layer two technologies, ensuring compatibility and scalability. Simulation results validate the efficacy of the proposed methodology, showcasing its superiority over existing methods. The findings underscore the innovative algorithms’ prowess in addressing load balancing challenges across diverse scenarios, affirming their potential to significantly enhance VANET service quality.
Similar content being viewed by others
Data availability
In this article, the data is generated randomly and will be made available to the public if needed.
References
Adhikari, M., et al.: A roadmap of next-generation wireless technology for 6G-enabled vehicular networks. IEEE Internet Things Mag. 4(4), 79–85 (2021)
Chaurasia, B.K., et al.: Clustering based MAC protocol for VANETs. Wireless Pers. Commun. 108, 409–436 (2019)
Eiza, M.H., et al.: Situation-aware QoS routing algorithm for vehicular ad hoc networks. IEEE Trans. Veh. Technol. 64(12), 5520–5535 (2015)
Khodadoust, J., et al.: A multibiometric system based on the fusion of fingerprint, finger-vein, and finger-knuckle-print. Expert Syst. Appl. 176, 114687 (2021)
Baraka, K., et al.: An infrastructure-aided cooperative spectrum sensing scheme for vehicular ad hoc networks. Ad Hoc Netw. 25, 197–212 (2015)
Parsa, A.B., et al.: Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis. Accid. Anal. Prev. 136, 105405 (2020)
Velmurugan, V., Leo Manickam, J.M.: A efficient and reliable communication to reduce broadcast storms in VANET protocol. Cluster Comput. 22, 14099–14105 (2019)
Wu, C., Ohzahata, S., Kato, T.: Data dissemination with dynamic backbone selection in vehicular ad hoc networks. in 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE. (2013)
Hosseinabadi, A.A.R., et al.: OVRP_GELS: solving open vehicle routing problem using the gravitational emulation local search algorithm. Neural Comput. Appl. 29(10), 955–968 (2018)
Hosseinabadi, A.A.R., et al.: A new efficient approach for solving the capacitated vehicle routing problem using the gravitational emulation local search algorithm. Appl. Math. Model. 49, 663–679 (2017)
Peng, Z., et al.: An improved energy-aware routing protocol using multiobjective particular swarm optimization algorithm. Wireless Commun. Mobile Comput. (2021). https://doi.org/10.1155/2021/6677961
Rostami, A.S., et al.: Survey on clustering in heterogeneous and homogeneous wireless sensor networks. J. Supercomput. 74(1), 277–323 (2018)
Bozorgi, S.M., et al.: A new clustering protocol for energy harvesting-wireless sensor networks. Comput. Electr. Eng. 64, 233–247 (2017)
Liang, W., et al.: Vehicular ad hoc networks: architectures, research issues, methodologies, challenges, and trends. Int. J. Distrib. Sens. Netw. 11(8), 745303 (2015)
Eiza, M.H., Owens, T., Ni, Q.: Secure and robust multi-constrained QoS aware routing algorithm for VANETs. IEEE Trans. Depend. Secur. Comput. 13(1), 32–45 (2015)
Chinnasamy, A., et al.: Minimum connected dominating set based RSU allocation for smartCloud vehicles in VANET. Cluster Comput. 22, 12795–12804 (2019)
Mirkamali, S.S., Nagabhushan, P.: Object removal by depth-wise image inpainting. Signal. Image Video Process. 9, 1785–1794 (2015)
Halim, A.H.A., et al.: Taxanomy and overview on cooperative MAC for vehicular ad hoc networks. in 2014 2nd International Conference on Electronic Design (ICED). IEEE. (2014)
Amirinasab, M., et al.: Energy-efficient method for wireless sensor networks low-power radio operation in internet of things. Electronics. 9(2), 320 (2020)
Park, J., Cho, Y.K., Khodabandelu, A.: Sensor-based safety performance assessment of individual construction workers. Sensors. 18(11), 3897 (2018)
Eze, E.C., Zhang, S., Liu, E.: Vehicular ad hoc networks (VANETs): Current state, challenges, potentials and way forward. in 2014 20th international conference on automation and computing. IEEE. (2014)
Abboud, K., Zhuang, W.: Stochastic modeling of single-hop cluster stability in vehicular ad hoc networks. IEEE Trans. Veh. Technol. 65(1), 226–240 (2015)
Dietzel, S., et al.: In-network aggregation for vehicular ad hoc networks. IEEE Commun. Surv. Tutor. 16(4), 1909–1932 (2014)
Alouneh, S., Kharbutli, M., Mohd, B.J.: MPLS technology in wireless networks. Wireless Netw. 20(5), 1037–1051 (2014)
Perdana, D., et al.: Performance evaluation of PUMA routing protocol for Manhattan mobility model on vehicular ad-hoc network. in. 22nd International Conference on Telecommunications (ICT). 2015. IEEE. (2015)
Zhang, L., et al.: Cooperative spectrum allocation with QoS support in cognitive cooperative vehicular ad hoc networks. China Commun. 11(10), 49–59 (2014)
Yu, J., Wang, N., Wang, G.: Wireless algorithms, systems, and applications. heuristic algorithms for constructing connected dominating sets with minimum size and bounded diameter in wireless networks, pp. 11–20. Springer, Berlin (2010)
Selvi, M., Ramakrishnan, B.: Lion optimization algorithm (LOA)-based reliable emergency message broadcasting system in VANET. Soft Comput. 24(14), 10415–10432 (2020)
Aravindhan, K., Dhas, C.S.G.: Destination-aware context-based routing protocol with hybrid soft computing cluster algorithm for VANET. Soft Comput. 23(8), 2499–2507 (2019)
Li, G., Boukhatem, L.: Adaptive vehicular routing protocol based on ant colony optimization. in Proceeding of the tenth ACM international workshop on vehicular inter-networking, systems, and applications. (2013)
Chang, C.-Y., Yen, H.-C., Deng, D.-J.: V2V QoS guaranteed channel access in IEEE 802.11 p VANETs. IEEE Trans. Depend. Secur. Comput. 13(1), 5–17 (2015)
Shamshirband, S., et al.: FCS-MBFLEACH: designing an energy-aware fault detection system for mobile wireless sensor networks. Mathematics 8(1), 28 (2020)
Peng, Z., et al.: TCDABCF: a trust-based community detection using artificial bee colony by feature fusion. Math. Probl. Eng. 2021, 19 (2021)
Campolo, C., Molinaro, A., Scopigno, R.: Vehicular ad hoc Networks. Standards, Solutions, and Research, p. 544. Springer, Berlin (2015)
Chaurasia, B.K., Manjoro, W.S., Dhakar, M.: Traffic congestion identification and reduction. Wireless Pers. Commun. 114, 1267–1286 (2020)
Ko, B., et al.: RSU-assisted adaptive scheduling for vehicle-to-vehicle data sharing in bidirectional road scenarios. IEEE Trans. Intell. Transp. Syst. (2020). https://doi.org/10.1109/TITS.2019.2961705
Fathy, M., GholamalitabarFirouzjaee, S., Raahemifar, K.: Improving QoS in VANET using MPLS. Procedia Comput. Sci. 10, 1018–1025 (2012)
Mirkamali, S.S., Nagabhushan, P.: RGBD image segmentation. in 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP). (2015)
Funding
The authors did not receive support from any organization for the submitted work.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception, the design of the experiments, and the paper’s structure. AARH and SM performed experiment analysis. BS wrote the first draft of the manuscript, and all authors commented on previous versions of the manuscript. All authors participated in the revision and proofreading of the paper and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Research involving human and animal participants
This article does not contain any studies with human participants or animals performed by any of the authors.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Saemi, B., Halataei, F., Ahmadi, R. et al. Improving the quality of real-time data transmission service in VANETS by balancing the load on road side units. Cluster Comput (2024). https://doi.org/10.1007/s10586-024-04317-6
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10586-024-04317-6