# A Novel Context-Aware Reliable Routing Protocol and SVM Implementation in Vehicular Area Networks
## 6 Conclusions  
In VANETs, transmission links are extremely susceptible to interruption; as a result, the routing efficiency of these constantly evolving networks requires special attention. To promote reliable routing in VANETs, we propose a novel context-aware reliable routing protocol that integrates k-means and support vector machine (SVM) in this paper. The performance of each route from source to target is evaluated by considering PDR, average E2E delay, and throughput. The simulation results of the proposed results reveal that it is more effective compared to CBLTR [21] and [PERSON] et al. [24] protocols. Comparative analysis indicates that the proposed protocol has up to 2.5% and 8.4% more PDR and up to 10.5% and 17.1% less E2E delay in comparison to CBLTR [21] and [PERSON] et al. [24] for a varying number of simulations in the network. In future scope, MSE-based analysis is to be continued for a dynamic vehicular scenario in a clustered environment for better insight. Conceptualization: M.S., S.S., A.G. and S.T. ; writing--original draft preparation: A.T., M.S.R., F.A. and A.G.; methodology: F.A., A.T. and S.T; writing--review and editing: S.T., M.S.R., M.S. and A.T.; Software: S.S., M.S. and S.T. ; Visualization: A.G., M.S.R. and S.S.; Investigation: A.G., F.A., A.T. and S.T. All authors have read and agreed to the published version of the manuscript. Figure 10: Comparison of results of the proposed system and existing systems ([PERSON] et al. [24] and CBLTR [21]) on delay versus vehicular nodes in area 1500 \(\times\) 1500. Figure 9: Comparison of results of the proposed system and existing systems ([PERSON] et al. [24] and CBLTR [21]) on delay versus vehicular nodes in area 1000 \(\times\) 1000. **Funding:** This work was funded by the Researchers Supporting Project number. (RSP2023R509) King Saud University, Riyadh, Saudi Arabia. The results were obtained with the support of the Ministry of Investments and European Projects through the Human Capital Sectoral Operational Program 2014-2020, Contract no. 62461/03.06.2022, SMIS code 153735. This work is supported by Ministry of Research, Innovation, Digitization from Romania by the National Plan of R & D, Project PN 19 11, Subprogram 1.1. Institutional performance--Projects to finance excellence in RDL, Contract No. 19 PFE/30.12.2021 and a grant of the National Center for Hydrogen and Fuel Cells (CNHPC)--Installations and Special Objectives of National Interest (IOSIN). This paper was partially supported by UEFISCDI Romania and MCI through BEA projects AutoDecS, SOLID-B5G, T4 ME2, DISAVIT, PIMEO-AI, AISTOR, MULTI-AI, ADRIATIC, Hydro3D, PREVENTION, DAFCC, EREMI, ADCATER, MUSEION, FinSESco, iPREMAS, IPSU, U-GARDEN, CREATE, and by European Union's Horizon Europe research and innovation program under grant agreements No. 101073879 (FLEXI-cross). **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** Not applicable. **Conflicts of Interest:** The authors declare no conflict of interest. * _[PERSON] et al. (2021)_ [PERSON]; [PERSON] Bio-inspired VANET routing optimization: An overview. _Artif. Intell. Rev._**2021**, _54_, 1005-1062. [CrossRef]
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