ENHANCED CLUSTER-BASED EMERGENCY MESSAGE FORWARDING SCHEME FOR VANET

Abstract

The Vehicular Ad-hoc Network(VANET) is a branch of Mobile Ad-hoc Network(MANET) that is dedicated to improve the safety and comfort of both drivers and passen gers in Intelligent Transportation Systems(ITS). Vehicle-to-vehicle communica tion refers to communication between moving vehicles in a VANET. Clustering mechanism in a VANET where mobility is static and stable but constructing a stable clustering structure between vehicle nodes is difficult, due to some char acteristics of VANET, such as high mobility. In a highway scenario, high speed causes frequent link disconnection, resulting in network fragmentation, whereas, in a fundamental broadcasting strategy, redundant data transfer causes significant overhead. To address these challenges, a cluster-based forwarding approach for emergency communications is required. The goal of this study is to develop en hanced cluster-based emergency message forwarding algorithms that are suitable for the VANET environment with a high packet delivery ratio, low overhead, and a large number of vehicles notified to improve the network cluster’s stability. To avoid network fragmentation, we employ a group of vehicles to construct clusters based on some predetermined metrics such as density and distance as a parameter to create a somewhat stable cluster structure. We examine the vehicles’ speed, di rection, and position or geographical area while choosing cluster-head as forwarder nodes. This thesis is implemented using the SUMO simulator for mobility genera tion and OMNeT++ for network simulation utilizing the Veins framework. From the simulation, we get 28 % and 35 % Packet delivery ratio in our scheme and 21 % and 27 % in the existing scheme with 50 and 20 nodes respectively. From this the proposed enhanced cluster-based dissemination scheme increases the Packet delivery ratio. Therefore, the proposed scheme has better performances than the existing schemes by increasing the Packet delivery ratio, decreasing overhead