Simulation and Analysis of Vehicular Network Capacity
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Abstract Communication is essential for Intelligent Transport Systems (ITS). Vehicular network have envisioned various applications that greatly improve traffic safety and efficiency along the roads and highways. Vehicular networks could use both short-range (e.g. Wi-Fi, DSCR) and long-range (e.g. 2G, 3G, 4G) communication technologies for sharing and distributing information among vehicles. Despite it?s promising; it is not fully deployed to benefit from it. One reason is the different challenges of vehicular network communication that should be answered and solved. Among the major challenging issue of vehicular network is capacity. Many information services and applications compete for the available network capacity, especially in urban areas i.e. high vehicles density. The guaranteed network capacity per each vehicle depends on vehicles density, different information source, and mobility, and used wireless technologies. It is a difficult task to estimate the individual vehicles? available network capacity. This thesis examines different aspects that affect available network capacity. Then design a simulation model, which comprises all aspects that affect network capacity. And Using different simulation scenario, we analyzed the performance experienced by individual vehicles and also study the effect of different aspects that affects network capacity.