Optimization of Cluster Head Election in VANET

Authors

  • G. Deepa
  • Balambigai Subramanian
  • Janarthanan. P.P
  • Kousalya. J
  • Medhini. K
  • Nandhini. R

Abstract

In order to make Vehicular Ad hoc Networks (VANET) topology less dynamic, clustering is used in VANET. Clustering is the process of grouping the vehicles which are based upon some parameters like density of vehicles, speed and the location of the vehicles. Mobile Ad hoc Networks (MANET) led to the evolution of the clustering algorithms of VANET. Yet, they are represented by their high mobility range. By electing the most appropriate cluster head, the cluster structure is made stable. Vector - based cluster head election algorithm is the existing work where only the position of the vehicle is considered for electing the Cluster Head (CH) i.e.; the cluster head should always lie at the center.  A Weight-based cluster head election algorithm is proposed in order to optimize the frequent cluster head change in VANET environment considering a highway scenario with the intend of improving the stability of the network.Weight includes both position of the vehicle and the vehicle moving with constant moving velocity are considered for cluster head election. This is done by taking the mean difference between two longest end nodes in a network with constantly moving velocity; therefore, it will communicate with the entire vehicle with minimum delay to create relatively stable cluster structure.Simulation was done to evaluate the method and compare it with the existing vector-based cluster head election algorithm. The simulation results show that the proposed work provides more stable cluster head in highway environment.

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Published

2020-04-16

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Section

Articles