Analysis of regularity in fuzzy soft graphs and its application in Vehicular communication on the highways
The concept of the fuzzy soft graph is an admirable mathematical framework to handle different real time applications in various domains. Fuzzy soft graphs provide a more generalized notion to resolve problems associated with uncertainty and vagueness in data as related to fuzzy graphs and soft graphs. This work describes several rudimentary concepts related to fuzzy soft graphs (FSG) including regular FSG, totally regularFSG, partially regular FSG and irregular FSG. We also discuss some of their significant properties with suitable examples. Additionally, we present a highly worthwhile application of FSG for calculating traffic rates in crossings and roads to enhance the performance of Vehicular Ad hoc Networks (VANET) In this work, we consider two traffic parameters (i.e. daytime and nighttime) as attributes to predict the traffic rate. This study shows the benefits of easier enactments and minimum computational complexity, and it can adapt additional parameters for consideration if necessary. By understanding present traffic conditions, several innovative algorithms for vehicular transmission can be developed to enhance the performance of VANET in the near future.