Técnicas de soft-computing para el desarrollo de redes de acceso móvil con control de polución electromagnética

  1. García Díaz, María del Pilar
Dirigée par:
  1. Sancho Salcedo Sanz Directeur
  2. José Antonio Portilla Figueras Co-directeur

Université de défendre: Universidad de Alcalá

Fecha de defensa: 16 janvier 2014

  1. Saturnino Maldonado Bascón President
  2. Enrique Alexandre Cortizo Secrétaire
  3. David Camacho Fernández Rapporteur
  4. Javier del Ser Lorente Rapporteur
  5. Pedro Antonio Gutiérrez Peña Rapporteur
  1. Teoría de la Señal y Comunicaciones

Type: Thèses


This Ph. D Thesis is focused on The Mobile Network Deployment Problem (MNDP) a class of assignment problem in GMS networks. It is usually stated as an optimization problem which looks for a solution with the minimal possible economic cost of the deployment and the maximal possible coverage percentage of the communication network. Thus, in the classical problem, the objective function is ussually defined by both variables: cost and coverage percentage. In this work we include a third variable in the objective function: the electromagnetic radiation due to the base stations working. The society feels some apprehension because the possible negative effects of radiation in human life. The idea of considering the pollution control in the MNDP came up from this social feeling. This new optimization problem is solved through two methods: an evolutive algorithm and a new algorithm recently published: The Coral Reefs Optimization (CRO). It is bio-inspired on the coral reefs behaviour in natural world. The results of both algorithms have been compared with other three algorithms considering the same fitness function. They are: the Particle Swarm Optimization algorithm, the Harmony Search algorithm and a greedy one. Our experiments show that CRO is the best algorithm to solve the MNDP.