The aim of this thesis is to propose a method for enhancing the performance of Vehicular Ad hoc
Networks (VANETs). The focus is on a routing protocol where performance metrics are used to
inform the routing decisions made. The thesis begins by analysing routing protocols in a random
mobility scenario with a wide range of node densities. A Cellular Automata algorithm is
subsequently applied in order to create a mobility model of a highway, and wide range of density
and transmission range are tested. Performance metrics are introduced to assist the prediction of
likely route failure. The Good Link Availability (GLA) and Good Route Availability (GRA)
metrics are proposed which can be used for a pre-emptive action that has the potential to give
better performance. The implementation framework for this method using the AODV routing
protocol is also discussed. The main outcomes of this research can be summarised as identifying
and formulating methods for pre-emptive actions using a Cellular Automata with NS-2 to
simulate VANETs, and the implementation method within the AODV routing protocol.
A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy of Loughborough University.