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A genetic approach for WSN lifetime maximization through dynamic linking and management
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Authors:
Carlo Brandolese
Politecnico di Milano, Milano, Italy
Luigi Rucco
Politecnico di Milano, Milano, Italy
Published in:
· Proceeding
PE-WASUN '10
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Pages 99-100
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0276-0
doi>
10.1145/1868589.1868609
2010 Article
Poster
Bibliometrics
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· Citation Count: 0
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Tags:
algorithms
design
genetic algorithm
global optimization
modeling techniques
performance
power optimization
remote dynamic linking
wireless communication
wireless sensor networks
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