Stable Communication among Vehicles through VANET

Abstract

Grouping in VANET is significant for late days because of increasingly number of vehicle present in urban region. In future Canny Transportation Framework (ITS), VANET can give security related applications, Web getting to and some client applications for drivers and travelers. Bunching based topology a proficient information collaboration among vehicles, can be applied to the gatherings of vehicle hubs in land region together that supports direct cooperation between the intercluster information association through group heads (CHs). In existing method, so many algorithms developed Related to clustering based VANET communication, but due to high mobility of vehicle and their parameters like position, velocity and acceleration is improve the complexity and reduce the performance. In this paper, we propose an adaptive self-learning approach based hybrid clustering. In hybrid clustering, the process divided in three steps. In first step Type1, it used for Road side unit (RSU) act as a static cluster head. In second step, divide the multiple zones with whole area and apply zone sensitive based clustering algorithm. It is used for predict the efficient centroid/weight value for each Vehicles. Finally in third step, from the above algorithm, in neuro- fuzzy training samples we got. Neuro fuzzy prediction based cluster head selection was applied. Percentages of cluster-Head for each zone assign the purpose of reduces the end-to-end delay and reduce congestion. In simulation results shows that demonstrate the efficiency of proposed algorithm compare to existing method. Implement in MATLAB2014a Trial Version, Thank you for MATLAB. A language has versatile option in single IDE.

Keywords:MATLAB2014a Trial Version, IDE, RSU.