Configuring wireless sensor networks (WSNs) plays an important role for the performance and quality of service of the running application. The huge number of sensor nodes and the possibility of configuring each of them in several ways cause an extremely large design space. Multi-objective genetic algorithms (GAs) are well suited to explore the trade offs in a WSN design space. A GA has many parameters in itself. So properly configuring a GA for design space exploration, given a specification of the WSN to be configured and a time budget available for analysis can lead us to better configurations for the WSN.
|Title of host publication
|Proceedings of 5th International Summer School on Advanced Computer Architecture and Compilation for Embedded Systems, ACACES'09. 12-15 July 2009, Ghent, Belgium
|Place of Publication
|Published - 2009