Fuel Consumption and Delay Aware Traffic Scheduling in Vanet Environment
Pages 3173 - 3191
Abstract
Increased vehicle traffic rate leads to higher waiting time, which would cause increased fuel consumption. Existing work 3-phase fuzzy-decision tree model attempts to make decision regarding traffic management quickly. Delay in data communication would increase the decision-making time, which is not concentrated in the existing work. In this work, Fuel Consumption and Delay aware Traffic Scheduling Method is introduced. Here when the vehicle is encountered with another vehicle, then it will communicate with the road side units and gain information such as vehicles count and coverage region. In this work coverage aware clustering protocol is introduced which would ensure the successful data transmission. Based on nodes count present within the cluster message replication quota is decided which reduce the network load. In MATLAB environment, evaluation of this research work is done and better results are exhibited by proposed work when compared with existing work as shown by results of experimentation.
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Kluwer Academic Publishers
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Published: 01 April 2021
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