Vehicular adhoc networks is one of the tangible applications of MANETs which is designed to facilitate road safety application in a messy road environment. The sharing of location information between the vehicles plays a vital role in avoiding fatal accidents. The communication is established via direct communication for transmitting emergency messages between the vehicles. But the presence of interference and obstacles makes the localization of vehicles an intricate chore. Though the presence of intelligent transport system makes VANETs a wiser network it has failed in localizing the vehicles which is in non line of sight (NLOS) region. This paper aims in proposing a Salp swarm bio inspired algorithm for effective localization of the vehicular nodes which is in the NLOS region by utilizing the properties of meta-heuristic approach. The simulation results have proved that it has improved the emergency message delivery rate, neighborhood awareness and minimized latency when compared against the existing works.

车载自组织网络是MANET的有形应用程序之一，旨在促进在凌乱的道路环境中的道路安全应用。车辆之间的位置信息共享在避免致命事故方面起着至关重要的作用。通过直接通信建立通信，以在车辆之间传输紧急消息。但是干扰和障碍物的存在使车辆的本地化成为一件繁琐的事情。尽管智能运输系统的存在使VANETs成为一个更明智的网络，但它未能将非视线（NLOS）区域的车辆定位在本地。本文旨在通过利用元启发式方法的特性，提出一种Salp群生物启发算法，对NLOS区域内的车辆节点进行有效定位。