Inormation

This website belongs to VANETs projects carried out by NEO research group at University of Málaga.
It summarizes the Master Thesis "Metaheuristics for Optimal Transfer of P2P Information in VANETs".

Introduction

The Vehicular Ad-hoc Networks (VANET) consist on networks composed by vehicles equipped with wireless network devices which are able to spontaneously interconnect each other without any pre-existing infrastructure. In such kind of networks it is crucial to provide an optimal configuration of the protocols used during the communications.

The search of the best protocol configuration for VANETs by hand is practically impossible since it exists an enormous number of different possibilities. For this reason we face this problem by mean of automatic intelligent tools.

In this work, we treat the optimization of the Vehicular Data Transport Protocol (VDTP) known as the Optimal File Transfer Configuration (OFTC) problem. VDTP is a connectionless protocol which operates on UDP to exchange files among vehicles.

The problem has been faced by using different metaheuristics techniques which arises as well-suited tools to solve complex optimization problems. Likewise, we use a realistic VANET simulator in order to evaluate and test the solutions over real urban and highway scenarios located in Málaga during the execution of the search.

Metaheuristics Techniques

The following list presents the metaheuristics techniques used to optimize the VDTP protocol.

Swarm intelligence techniques (2)

Particle Swarm Optimization (PSO)

Differential Evolution (DE)

Evolutionary algorithms (2)

Evolutionary Strategy (ES)

Genetic Algorithm (GA)

Local search technique (1)

Simulated Annealing (SA)