Fuzzy Online Scheduling Proffering Fault Tolerance Traffic Mobility Control in Vanet
V. Gopi1 and Lakshmi M.K2
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This paper puts into service of network namely ad hoc networks to fetch the speed and position information in real time and gather it in total on every single vehicle to make signal controlling easier at several intersections. We describe precisely the traffic signal controlling problem as job partitioning problem where a job relates to platoons of vehicles. Keeping under consideration of equal size of jobs we make use of an online algorithm to minimize the delay around traffic networks. By using fuzzy logic we can reduce the delay to a greater extent than offline algorithm scheduling where we have a prior knowledge of arrival of vehicles. Here we divide the vehicles into platoons over which we use online fuzzy programming. We represent this as two phase method where platooning acts as phase one and applying fuzzy logic acts as phase two. The simulation outcome illustrates that fuzzy logic gives its best at reducing the traffic delay while comparing with other methods such as vehicle-actuated technique.