A Review on Collision Avoidance Application in Automotive Ad Hoc Networks Employing a Novel Source-Based Ant Colony Optimization Routing Protocol Using a Cross-Layer Approach

The term “Vehicle Ad hoc Network” (VANET) refers to a system in which a collection of non-stationary or stationary vehicles share a wireless connection. Until recently, VANETs were primarily used to improve the safety and convenience of driving. Both the AntHocNet method and the Ant based Routing Algorithm (ARA) rely on ACO. It is a combinational method that combines proactive route maintenance with a reactive setup process for route finding. Its objective is to preserve information about current routes and identify new ones. The term “Ant Colony Optimization” (ACO) refers to a population-based mathematical heuristic that's capable of providing approximate solutions to difficult optimization problems. The aim of ACO is to solve an optimization problem by sending out a colony of virtual ants to find an optimal solution. Ant colony optimization is a probabilistic technique for finding optimum paths. In this paper a detailed literature review for VANET for collision avoidance application based on Ant colony optimization is surveyed.