Applying Advanced IoT Network Topologies to Enhance Intelligent City Transportation Cost Based on a Constrained and Secured Applicative IoT CoAP Protocol

The analysis, planning, and modeling of the transportation system today cover several areas. In addition, satisfying demand with minimal losses is a major challenge, which must focus on several objectives, including reducing greenhouse gas emissions and promoting the deployment of renewable energy. These objectives aim to achieve significant energy savings in the future. In this work, based on the electric mobility concept consisting of road and streetcar networks using an all-electric multimodal urban transportation network, we implemented a synchronized and secure IoT smart transportation platform, which is used to improve the transportation cost of the smart city through an electric minibus. The idea is to inform the bus about the optimal path it will take according to criteria. It will take the maximum number of people with the minimum number of stops, with reduced prices, and avoid wasting the bus resources. To answer this problem, we have applied the different network topologies star, tree, mesh, and cluster to see which one meets our need by making a comparative study between them in terms of execution time and memory consumption, using CoAP protocol secured with AES.