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

  1. García Díaz, María del Pilar
Supervised by:
  1. Sancho Salcedo Sanz Director
  2. José Antonio Portilla Figueras Co-director

Defence university: Universidad de Alcalá

Fecha de defensa: 16 January 2014

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

Type: Thesis


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.