2M2C-R2ED: Multi-Metric Cooperative Clustering Based Routing for Energy Efficient Data Dissemination in Green-VANETs

Abstract

The aim of this paper is to focus on energy dissemination for green vehicle transportation. In current scenario population of urban areas keeps increasing as the people move towards the cities in search of jobs and betterlife style. This leads to an increase in the number of vehicles on the road. But the transport network which is accessible to the citizens is less when compared to their demand. This situation results in more vehicles on the road. The result of which is one of the factors that aggravate the traffic congestion. It is identified the vehicle volume on road is 91.7% which increases the CO2 emission to 93.25% every month. 2M2C-R2ED shows its efficiency in identification and segregation of alternative route by IWS with an average frequency of 3.82%. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. The demand for the resources is higher than the actual capacity of the roads and the streets. There are some circumstances that which will aggravate the traffic congestion. The circumstances can be the road condition (potholes, road repair), accidents and some natural calamities. There is a lot of research being done to predict the traffic and model it in order to find a solution that will make the condition better. But still it is an open issue. The accuracy of the predictions done is less.

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