Performance Evaluation of Fuzzy-Based Routing System for Vehicular Opportunistic Networks Considering Delivery Probability and Overhead Metrics
摘要
In this paper, we propose a routing protocol for Opportunistic Networks (OppNets) that leverages Fuzzy Logic (FL) to optimize message delivery in highly dynamic environments. Our system utilizes key parameters such as buffer occupancy, angle to the destination, and the number of unique connections to make intelligent routing decisions, enhancing the adaptability and efficiency of the network. Through simulations, we compare the performance of our FL-based protocol with existing protocols considering delivery probability and overhead. Our proposed FL-system shows good results in delivery probability and reduces network overhead, especially in scenarios with high node density. This study highlights the potential of FL in enhancing the reliability and performance of routing protocols in OppNets, offering a robust solution for real-world applications where conventional communication infrastructures are unavailable or impractical.