Khan, GulistaKanauzia, Rohit et al.2026-07-162026G. Khan, S. Kumar, W. Ali, K. K. Gola, and R. Kanauzia, “ Enhance Reliability and Security in VANET Using Clustering Based on ANT Colony Optimization and Fuzzy Logic,” Internet Technology Letters 9, no. 1 (2026): e70202, https://doi.org/10.1002/itl2.70202.http://10.0.2.71/handle/123456789/454Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by enabling communication between vehicles and infrastructure. However, ensuring secure, reliable, and consistent data transfer remains challenging due to their dynamic nature. This paper proposes a Clustering-Based Ant Colony Optimization (CB-ACO) and Fuzzy Logic algorithm to address these issues. Clustering reduces network load and enhances stability, while ACO selects optimal cluster heads and routes, supported by Fuzzy Logic-based trust assessments for secure access control. Compared to existing algorithms, the proposed method improves packet delivery, reduces latency, and enhances security, offering a robust solution for next-generation VANETs.enACOfuzzy logicreliabilityvehicular sensor networks (VSNs)Enhance Reliability and Security in VANET Using Clustering Based on ANT Colony Optimization and Fuzzy LogicArticle