Enhanced Reliable Delivery for VANET Safety Messages through Location-Aware Distributed Cluster Analysis and Fuzzy Weight-Based Clustering Scheme

Authors

  • R. Rajesh Kanna Department of Computer Science, Christ University, Bengaluru - 560 029, Karnataka, India

DOI:

https://doi.org/10.53273/tyehy462

Abstract

Vehicular ad hoc network (VANET) is an emerging and promising technology that aimed to improve the safety and provide the comfort for the passengers. However, the high mobility of the vehicles and frequent topology changes are a considerable challenge to the reliable delivery of safety applications. The numerous nodes could result in issues that lower the quality of service, like network congestion. In this paper we proposed a fuzzy weight based clustering algorithm (FWCA) to address these challenges in VANET environment.  To select the cluster head CH we are identified some metrics on the basis of the vehicle mobility information. Each node value defined based on the nodes speed, link connectivity duration time and direction.  Based on this parameter a vehicle node with the smallest weight value is selected as the primary cluster head (PCH).  Whenever the PCH is not suitable for continuing with the leadership, the SeCH will take over the leadership. The simulation result of the proposed approach showed a better performance with an increasing the performance metrics compares to existing approaches.  The new proposed scheme improves the cluster stability; throughput and reducing the re-clustering process, packet dropping rate and delay.

Keywords:

Routing techniques, VANET, Fuzzy Logic

References

Shahen Shah, A. F. M., Karabulut, M. A., Ilhan, H., & U. T. (2020). Performance Optimization of Cluster-Based

MAC Protocol for VANETs. IEEE Access, 8, 168792-168805.

Liu, G., Qi, N., Chen, J., Dong, C., & Huang, Z. (2020). Enhancing Clustering Stability in VANET: A Spectral

Clustering Based Approach. Emerging Technologies & Applications, January 13, 2020.

Mohammed, S. T., Aslinda, H., Thamer, A., Ali Jalil, I., & Nihad, I. A. (2020). A Center-Based Stable Evolving

Clustering Algorithm With Grid Partitioning and Extended Mobility Features for VANETs. IEEE Access, 8, 170706-170722.

Khayat, G., X, C., Mastorakis, G., Batalla, J. M., Maalouf, H., Mumtaz, S., & Pallis, E. (2020). Successful

Delivery in VANETs with Damaged Infrastructures Based on Double Cluster Head Selection.

Muhammad, A. S., Z, S., S, A., S, T., Z, M. A., J, A., R, S., & M, M. (2019). Expansion of Cluster Head Stability

Using Fuzzy in Cognitive Radio CR-VANET. IEEE Access, 7, 71365-71379.

Muhammad, A. S., S, Z., Muhammad, U. S., A, T., M, A., S, C. S., & T, M. (2021). Deep Learning-Based

Dynamic Stable Cluster Head Selection in VANET. Complexity, 2021, 9936299.

Ji, X., Yu, H., Fan, G., Sun, H., & Chen, L. (2018). Efficient and Reliable Cluster-Based Data Transmission for

Vehicular Ad Hoc Networks. Hindawi, 2018, 1-17.

Çalhan, A. (2015). A Fuzzy Logic-Based Clustering Strategy for Improving Vehicular Ad-Hoc Network

Performance.

Tal, I., & Muntean, G. M. (2015). User-Oriented Fuzzy Logic-Based Clustering Scheme for Vehicular Ad-Hoc

Networks.

Tarak, N., Yamani, M. I. B. I., Rafidah, M. N., Ahmedy, I., & Bhattacharyya, S. (2020). A Multiple-Criteria

Decision Analysis Clustering and Cluster Head Selection Algorithm in Vehicular Network. IEEE.

Shah, Y. A., Aadil, F., Khalil, A., Assam, M., Abunadi, I., Alluhaidan, A. S., & Al-Wesabi, F. N. (2022). An

Evolutionary Algorithm-Based Vehicular Clustering Technique for VANETs. IEEE Access, 10, 13746-13757.

Koshimizu, T., Gengtian, S., Wang, H., Pan, Z., Liu, J., & Shimamoto, S. (2020). Multi-Dimensional Affinity

Propagation Clustering Applying a Machine Learning in 5G-Cellular V2X. IEEE Access, 8, 68775-68786.

Abbas, F., Liu, G., Fan, P., & Khan, Z. (2020). An Efficient Cluster Based Resource Management Scheme and Its

Performance Analysis for V2X Networks. IEEE Access, 8, 60690-60700.

An, J., Yu, Y., Tang, J., & Zhan, J. (2019). Fuzzy-Based Hybrid Location Algorithm for Vehicle Position in

VANETs via Fuzzy Kalman Filtering Approach. Hindawi, 2019, 1-13. doi:10.1155/2019/5142937.

Hanan, H., Al Malki, A. I., Moustafa, A. M. H. S. (2020). An Improving Position Method Using Extended

Kalman Filter.

Mohammed, S. T., Aslinda, H., Thamer, A., Zuraida, A. A., Ali Abdul-Jabbar, M., Ali Jalil, I., & Nihad, I.

(2020). A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning and Extended Mobility Features for VANETs. IEEE Access, 8, 170706-170722.

Kumar, S., Choi, S., & Kim, H. (2019). Analysis of Hidden Terminal's Effect on the Performance of Vehicular

Ad-Hoc Networks. Springer, 18(1), 1-12.

Yan, G., & Rawat, D. B. (2016). Vehicle-to-Vehicle Connectivity Analysis for Vehicular Ad-Hoc Networks. Ad

Hoc Networks, 50, 74-85.

Rajeshkanna, R., & Saradha, A. (2014). Adaptive Multicast Multimedia Transmission Routing Protocol System

(ACMMR) for Congestion Control and Load Balancing Techniques in Mobile Adhoc Networks. International Journal of Applied Engineering Research, 9(23), 21531-21540.

Dhivya, R., & Rajesh Kanna, R. (2021). Detection of Malicious Node in Network Layer Using ESMTS

Technique to Improve the Energy Efficiency in VANET. Studies in Indian Place Names, 40(3), 164-171.

Alam et al., 2025. (2025a). Online Corrective Feedback and Self-Regulated Writing: Exploring Student

Perceptions and Challenges in Higher Education. 15(06), 139–150. https://doi.org/https://doi.org/10.5430/wjel.v15n6p139

Alam, J., Hossen, M. S., Nawaz, I., Rahman, S., & Mahmood, A. (2025b). Black Magic and Dark Tourism

Impact Mental Well-being of Gender: A Standpoint of Embodiment Theory With Emotional Experience.

Hossen, M. S., Pauzi, H. B. M., & Salleh, S. F. B. (2023). Enhancing Elderly Well-being Through Age-Friendly

Community, Social Engagement and Social Support. American J Sci Edu Re: AJSER-135.

Hossen, M. S., Pauzi, H. M., Islam, M. S., & Salleh, S. F. (2026). ELDERLY LIFE SATISFACTION

THROUGH SOCIAL INTERACTION AND FORMAL CARE CENTER MANAGEMENT. Asian People Journal (APJ), 9(1), 1–15.

Mohd Pauzi, H., & Shahadat Hossen, M. (2025). Comprehensive bibliometric integration of formal social support

literature for elderly individuals. Housing, Care and Support, 1–17.

Rahman, M. K., Hossain, M. A., Ismail, N. A., Hossen, M. S., & Sultana, M. (2025). Determinants of students’

adoption of AI chatbots in higher education: the moderating role of tech readiness. Interactive Technology and Smart Education.

Rashed, M., Jamadar, Y., Hossen, M. S., Islam, M. F., Thakur, O. A., & Uddin, M. K. (2025). Sustainability

catalysts and green growth: Triangulating evidence from EU countries using panel data, MMQR, and CCEMG. Green Technologies and Sustainability, 100305.

Downloads

Published

16-06-2026

How to Cite

Enhanced Reliable Delivery for VANET Safety Messages through Location-Aware Distributed Cluster Analysis and Fuzzy Weight-Based Clustering Scheme. (2026). Journal of Content Validation, 2(2), 101-111. https://doi.org/10.53273/tyehy462