A model to offer reliable data transmissions in vehicular ad hoc network

Abstract

Vehicular Ad-hoc Network (VANET) is one of the widely used networks across various intelligent transport applications in order to support the autonomous driving, reduce network congestion and overcome any kind of the accidents occurring on the road. This report involves in focusing on the safety applications where the vehicles involve in broadcasting the safety messages that are highly time critical and reliability sensitive. The importance of delivering the broadcasted safety messages of VANET in highly timely and reliable manner has resulted in undertaking this research work. In order to support the reliable delivery of the broadcasted safety messages, this research has developed a model called Reliable Vector Clustering (RVC) which involves in neighbour node identification, vehicle cluster formation and broadcasting the coded data using the network coding method. In order to evaluate this developed model, analytical model developed and simulation studies have been carried out in this report. The analytical model has developed a criterion that helps in choosing the best vehicle as the cluster head node and the simulation studies have compared the effectiveness of the developed method. These simulation studies have revealed the effectiveness of proposed RVC method in improving the packet error recovery probability and packet delivery ratio when compared to the existing methods.

Date of Award	2020
Original language	English
Awarding Institution	University of Bedfordshire
Supervisor	Sijing Zhang (Supervisor) & Enjie Liu (Second supervisor)