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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.
Cognitive Radio (CR), VANET, Air Quality Monitor (AQM), eco-routes.
Wireless sensor networks (WSNs) are devices that exchange data between two or more nodes. This is a most recently employed scheme and is used in several civilian application areas. There are also used in environment and surroundings observance, care applications, home automation, and conveyance traffic management . One of the associated application of WSN, VANETS was recently developed. Vehicular communications plays crucial role in implementing next generation energetic safety applications. Vehicular adhoc Networks (VANETs) devices are deployed in vehicles in order that these devices will exchange helpful data. This data exchange aims to increase vehicles and drivers perception by constructing a worldwide awareness of the surrounding atmosphere and also to specify the alternative paths. Data communication among these vehicles protects high data reach, which provides the driver a lot of latency to avoid unsafe things. With the increase of number of vehicles on the roads conjure concern on advanced road safety as with in-vehicle gratification .In this view we need to develop environment convenience services. Some specific examples that embrace applications are for safety, collision avoidance and traffic observation was stated in .Vanets has become one of the best technology for vehicular communications. WSN could be a technology that may be exercised in realistic time to search out the above decisive events. A WSN sometimes consists of geographically distributed sovereign sensors to watch real time applications like climatic conditions, noise, vibration, pressure, motion, CO, CO2, pollutants or smoke being emitted from various sources and pass this information to the nearby base station. In this present situation air quality index might increase in most of the cities in India. Air pollution has jumped to number five spot amongst the highest killers in India. As a result of significant traffic most of the respiration air gets contaminated. Principally CO emitted from vehicles pollutes air. Areas where vehicle traffic is more will results in contamination of air and dirt significantly effects the people in these areas with varied health issues.
With the rising growth in CR technology and VANETs, many novel approaches are being developed day to day. In this work, we surveyed novel approaches and mentioned analysis challenges associated with the advantages of Cognitive Radio technology for Vehicular Adhoc networks (VANETS). Although CR usage in transport networks remains in the inception stage, CR-VANETs has the capability of turning into the most popular of CR applications within the near future due to a large client market for vehicular communications. However, the solutions planned for an all-purpose Cognitive radio networks can indirectly be applied to CRVANETs owing to their unique options that required to be thought of when coming up with the spectrum management solutions for CR-VANETs. We hope to address some of the issues in developing more advanced applications for CR-VANETs.
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