Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/1233
Title: Evolutionary design of wireless sensor networks based on complex networks.
Authors: Ruela, André Siqueira
Cabral, Raquel da Silva
Aquino, André Luiz Lins de
Guimarães, Frederico Gadelha
Issue Date: 2009
Citation: RUELA, A. S. et al. Evolutionary design of wireless sensor networks based on complex networks. In: Fifth international Conference on Intelligent Sensor, Sensor Networks and information Processing, 5., 2009. Melbourne. Anais... Melbourne: Fifth international Conference on Intelligent Sensor, Sensor Networks and information Processing, 2009. p.1-6. Disponível em: <http://homepages.dcc.ufmg.br/~alla/issnip_09.pdf>. Acesso em: 04 ago. 2012.
Abstract: This work proposes a genetic algorithm for design-ing a wireless sensor network based on complex network theory. We develop an heuristic approach based on genetic algorithms for finding a network configuration such that its communication structure presents complex network characteristics, e.g. a small value for the average shortest path length and high cluster coefficient. The work begins with the mathematical model of the hub location problem, developed to determine the nodes which will be configured as hubs. This model was adopted within the genetic algorithm. The results reveal that our methodology allows the configuration of networks with more than a hundred nodes with complex network characteristics, thus reducing the energy consumption and the data transmission delay.
URI: http://www.repositorio.ufop.br/handle/123456789/1233
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