A CR-VANET Approach: Urban Eco-Route System Based on Air Quality

Abstract

Cognitive radio (CR) is an emerging key technology in the recent times that allows versatile, efficient and reliable usage of available spectrum. Spectrum is a fixed band of frequencies that needs to be allocated to nodes that communicate via a wireless medium. It is expected that in the near future, all vehicles will act as intelligent systems and shall be equipped with radio communication interfaces. Vehicular Adhoc Networks (VANETs), acts as one type of mobile adhoc networks in which the cars are considered as the mobile nodes. This technology is gaining in popularity and with the popularity of Cognitive Radio Technology almost all vehicles in the near future will be set up with CR technology. In this paper we addressed the implementation of most helpful application for CR-based application for VANET vehicles. Clean air is assumed to be a vital necessity for living beings. However, pollution continues to make a serious threat to living beings worldwide. We proposed a topology with many number of Air Quality Monitors (AQM) in urban cities at each traffic signal. Our intention is to provide an eco-route planning system to vehicle users based on this air quality levels. We indicate each and every attainable route with colored lines based on this air quality levels and attainable values. Users conjointly access information through mobile application.