ABSTRACT
The latest mobile communications is two types of ad hoc networks are introduced; one is Mobile Ad Hoc Network (MANET) and second one is Vehicular Ad Hoc Network (VANET).VANET is based on IEEE 802.11b wireless standard. This helps to communicate vehicle to vehicle and vehicle to roadside communications. According to Federal Communications Commission (FCC)[1] suggestion for VANET frequency spectrum of 75 MHz in the range of 5.850 GHz to 5.925 GHz. It communicates from one vehicle (source) to another vehicle (destination) through different vehicles (intermediate nodes). A numbers of different routing protocols for communication, ie multimedia data, text data etc. from one vehicle (node) to another vehicle are existing. The Ad hoc On-Demand Distance Vector (AODV) routing algorithm is one of the popular routing protocols for ad-hoc mobile networks. AODV is used for both unicast and multicast routing. In this paper, we propose and implement in the NCTUns-6.0 simulator neural network based Modified AODV routing protocol considering Power, TTL, Node distance and Payload parameter to find the optimal route from the source station (vehicle) to the destination station in VANET communications.
