Authors:
A. Singaravelan, S. Sujitha, S. Gopikha, Thirumalraj Karthikeyan, Rahul Panakkal
Addresses:
Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India. Department of Information Technology, St. Joseph's College of Engineering, Chennai, Tamil Nadu, India. Department of Artificial Intelligence, Trichy Research Labs, Quest Technologies, Tiruchirappalli, Tamil Nadu, India. Department of Computer Science and Engineering, University of Illinois at Urbana-Champaign, Illinois, United States of America.
Abstract:
The Vehicular networks enable several ITS advancements, such as media apps, secure financial transactions, and efficient traffic management. Cooperative ITS services are expected to increase network reliance on communication connections, even with occasional, time-limited connection losses. Vehicle networks are hard to scale because their topology changes to suit growing traffic on roads and highways. This makes it hard for all network cars to follow a stable path, increasing network instability. This research presents an intelligent, probability-based, and nature-inspired optimisation method for vehicular communication cluster formation in IoT-based network transportation. The HRSA technique combines the Reptile Search Algorithm (RSA) search procedures with the Remora Optimisation Algorithm (ROA). To improve prior methods, HRSA was introduced. To reduce uncertainty, the fitness function was adjusted to account for the probability of several attributes, including the highway communication range path. The experimental results reveal that the proposed model achieved 96% PDR across all vehicle nodes, while the conventional models achieved 83% to 89%. The proposed model had 61J of energy usage, 94 Mbps of throughput, 98% PDR, 1% PLR, 5500 rounds of NLT, and 2s E2E delay at node 100. Results-based empirical equations can estimate driver speed recommendations.
Keywords: Data Transmission; Remora Optimisation Procedure; Reptile Search Algorithm; Intelligent Transportation System; Vehicle to Infrastructure; Vehicular Ad Hoc Networks; Cluster-Based Algorithm.
Received: 05/08/2024, Revised: 20/09/2024, Accepted: 06/11/2024, Published: 05/09/2025
DOI: 10.64091/ATICL.2025.000226
AVE Trends in Intelligent Computer Letters, 2025 Vol. 1 No. 3 , Pages: 104-118