A NEW Technique for Disseminating Knowledge Concerning VANET Traffic Using Crocodile Hunting Search

Abstract

VANETs or Vehicular Ad hoc Networks represent the most rapidly emerging application of Ad hoc Networks. It shares traffic condition information and is one of the attempts to improve road safety and traffic management. This paper develops a new technique in the name of "Crocodile Hunting Search" (CHS) to assist information dissemination in Vehicular hoc networks (VANETs). It is named after hunting a crocodile, methodically moving to catch prey, which CHS bases many of its principles upon. The CHS solution that we use sends important traffic data in a decentralized, flexible way within the network. From the point of view of VANET, we consider each vehicle as a mobile node that carries the packets with the information contained on the traffic conditions. These packets are solicited and forwarded to the various vehicles in proportion to closeness and usefulness. The point here is that the search perimeter would have to be adapted to the variation in the quantity of vehicles and their actual traffic. If times are off-peak and there is less traffic, the cars would therefore widen their searching area, which could not be the case for other solutions during that time of less traffic. On the other side, in localities with narrow narrowing information-seeking to find only what is essential and related becomes increasingly important. We show through large-scale simulations and real-world experimentation that our method can work in sending information over Vehicular Ad Hoc Networks (VANETs). This perspective, the current research, clearly demonstrates that knowledge propagation is way more effective in spreading information than traditional methods. It causes low packet loss, and the communication overhead is also low. The Crocodile Hunting Search is another practicable method of solving the problems that arise while trying to send information effectively in VANETs.