Vehicular Ad Hoc Network Clustering
Abstract
VANET is modern and effective networks to manage the communication between cars and city infrastructure. It’s used to increase the efficiency of self-driven cars in transforming data, and hence to improve their ability. In this study, clustering is considered as a method to group the cars to improve data sharing speed in order to gain high efficient network. Clustering is the creation of a more reliable and scalable vehicle network by combining vehicles moving on a specific street or area. There are multiple criteria for clustering. We will address two criteria: First: - extent of communication between cars we mean by extent of communication the distance through which the car can communicate with another car. The second: - the direction in which the car is traveling. For this purpose, a simulation is established by using NetLogo to represent a virtual city and mobilized cars, to observe the important variables effecting the process. And get a better understanding on how to shape the optimal clustering operation for different circumstances.
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