الفهرس 
Motivation
smart Cities and ITSOnly 14 pages are availabe for public view
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Abstract
Intelligent Transportation Systems (ITS) are very important component of smart cities. One of the most important technologies that are utilized to support ITS is Vehicular Ad-hoc Networks (VANETs). In VANETs, vehicles communicate with each other (V2V) or with the infrastructure (Roadside Units) (V2I). Roadside Units (RSUs) collect data from vehicles in the coverage area and send it to cloud servers through the Internet. Cloud servers have high performance computational and storage capabilities that ITS applications require for data processing. However, due to the real-time requirements of the ITS applications, cloud approach alone cannot be guaranteed to satisfy the strict time constraints due to long latency access of the centralized cloud server. Fog Computing is an emerging approach that extends the services of cloud computing to the edge of the network. Fog Computing can be utilized in VANETs through deployment of fog nodes into RSUs. One of the major challenges to accomplish this deployment is identifying the optimum number, locations and computational capabilities of the RSUs particularly in urban regions where obstacles exist heavily inside the coverage area of the RSUs. The optimization problem of fog-based RSU placement and configuration is considered as the main contribution of this thesis. A new methodology is proposed that takes care of the obstacle density in the area under investigation and its effect on the signal attenuation. Additionally, a new modeling for the problem is introduced. The problem is formulated and solved as a Satisfiability Modulo Theories (SMT) problem. This approach is evaluated on three different scenarios. The approach outperforms other solutions in the literature in terms of cost and the percentage of the messages that are not processed due to lack of processing capacity, which in turn contributes in the enhancement of the ITS.