Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks. Quintão, F.; Nakamura, F.; and Mateus, G. In Evolutionary Computation in Dynamic and Uncertain Environments, volume 51/2007, of Studies in Computational Intelligence, pages 197--222. Springer, 2007.
Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks [link]Paper  abstract   bibtex   
This chapter presents basic concepts on the recent technology of the Wireless Sensor Networks (WSNs) and discusses some problems that arise in this new kind of ad-hoc network. Mathematical formulations and evolutionary algorithms are provided to support the network manager . Our approaches are concerned in controlling the energy consumption in the network and the Quality of Service aspects, such as area coverage and nodes connectivity, through the use of fast and efficient algorithms.
@incollection{quintao_evolutionary_2007,
	series = {Studies in {Computational} {Intelligence}},
	title = {Evolutionary {Algorithms} for {Combinatorial} {Problems} in the {Uncertain} {Environment} of the {Wireless} {Sensor} {Networks}},
	volume = {51/2007},
	url = {http://dx.doi.org/10.1007/978-3-540-49774-5_9},
	abstract = {This chapter presents basic concepts on the recent technology of the Wireless Sensor Networks (WSNs) and discusses some problems that arise in this new kind of ad-hoc network. Mathematical formulations and evolutionary algorithms are provided to support the network manager . Our approaches are concerned in controlling the energy consumption in the network and the Quality of Service aspects, such as area coverage and nodes connectivity, through the use of fast and efficient algorithms.},
	booktitle = {Evolutionary {Computation} in {Dynamic} and {Uncertain} {Environments}},
	publisher = {Springer},
	author = {Quintão, Frederico and Nakamura, Fabíola and Mateus, Geraldo},
	year = {2007},
	pages = {197--222}
}
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