Improved Game Theory-Based Scheduling Model for Vehicular Adhoc Network

A proposed IGTSM aims to optimize scheduling and data transfer efficiency in Vehicular Adhoc Networks (VANETs) by integrating non-cooperative game theory. In this model, vehicles strategically select the next hop for data transmission, minimizing network traffic and vehicle costs. Through theoretical analysis and simulations, the IGTSM achieves a Nash equilibrium point, maximizing network performance. The abstract provides an overview of the challenges faced in VANETs, highlighting the need for efficient communication protocols to address road safety concerns and traffic management issues. The proposed IGTSM offers a novel solution by leveraging game theory principles, demonstrating its effectiveness through comparative performance analysis against existing techniques. This research contributes to advancing communication protocols in VANETs, ultimately enhancing reliability, efficiency, and overall network performance.