Abstract:
For the last fifty years, finding efficient vehicle routes has been studied as a
representative logistics problem. In the transportation field, finding the shortest
path in a road network is a common problem. VANET presents an
innovation opportunity in the transportation field that enables services for
intelligent transportation system (ITS) especially communication features.
Because of VANET features and despite road obstacles, a route for
the shortest path can be established at a given moment.
VANET is the most growing research area in wireless communication. With
the advancement and maturity of the VANET, there will be a great
revolution in the field of wireless communication in terms of fast handovers,
network availability, security, safety with the use of advanced applications etc.
This project proposes an enhanced algorithm, based on ACO Ant Colony
Optimization and related to VANET infrastructure that aims to find the
shortest path from the source to destination through the optimal path; in
addition, a storage on static nodes is installed in each intersection in a
VANET environment and for a specific time.
