An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA

We have employed evolutionary computation to solve the optimization problem of sensor deployment in battlefield environments. A genetic algorithm has the advantage of delivering results of a higher quality than simple computational algorithms, but it has the drawback of requiring too much computing...

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Vydané v:	International journal of distributed sensor networks Ročník 2016; číslo 3; s. 8612128
Hlavní autori:	Seo, Jae-Hyun, Yoon, Yourim, Kim, Yong-Hyuk
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England Hindawi Publishing Corporation 01.01.2016 SAGE Publications Sage Publications Ltd. (UK) John Wiley & Sons, Inc Wiley
Predmet:	Algorithms Applied research Computation Computational efficiency Computer simulation Computing time Fitness Genetic algorithms Optimization theory Sensors
ISSN:	1550-1329, 1550-1477, 1550-1477
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