Simulation and Development of Smart Traffic Management Data Center based on IoT Protocols by Cooja

Internet of things is an opportunity to help manage the world in a better aspect. One of the most important devices which needed to be connected on large scale are vehicles that humans all over the world use in their everyday life. Although, using IPv۶ makes it possible to have billions of devices connected, but data transition and data centers to collect all data for later on analysis would make it hard to achieve. Also, data loss in IoT systems is unavoidable because of low-power and simple process units. This issue can cause major trouble in systems that should stay connected. Base on basic research over connecting L۱ cars has been done and because of the lack of a Network platform, implementing a traffic management network looks impossible. To deal with this issue, theoretically distributed processing can be helpful to ensure the functionality of the network. It means there is no need to transfer data from an individual node to the data center and by warning drivers about speed and traffic limitations, there is a possibility of reduction of data transfer. First, all nodes are in hibernate mode until a driving offense occurs, the second device would stay on standby for ۱۰s and warns the driver. Finally, report it to the data center or another nearby car. In this experimental network, ۶lowpan and RPL protocols had been used to evaluate in Contiki-Cooja v۳ to inform reliable V۲V and node to data center networks. This method has proven better data and resource management