Traffic Analysis Using Decentralized Social Internet Of Things

The traffic is growing exponentially and expected to be more congested by thousands of millions of vehicles in near future and will become an inescapable problem across the world. It is highly necessary to find the probable reasons for traffic congestion in a traffic domain in order to minimize the hours wasted on the streets. Existing centralized approach to monitor this traffic domain eventually minimizes the outcome in terms of cost, time and scalability issue. By integrating social networking concepts into Internet of Things a new paradigm has been proposed named Social Internet of Things (SIoT). In this paper, we have approached to convert a traffic domain into a complex network that integrates Social Internet of Things (SIoT) concept in that traffic domain in a distributive manner by assuming each vehicle as an IoT device. The underneath concept is that every vehicle will communicate with other vehicles using its friendship in a decentralized manner with only local information. In the complex network of such smart IoT devices, by performing experiments on network properties and analyzing the result traffic congestion and probable reason behind traffic congestion has been predicted.