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  4. Poster: Learning to shine – optimizing glossy at runtime with reinforcement learning
 
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Poster: Learning to shine – optimizing glossy at runtime with reinforcement learning

Publikationstyp
Conference Paper
Date Issued
2019-02
Sprache
English
Author(s)
Poirot, Valentin  
Landsiedel, Olaf  
TORE-URI
https://hdl.handle.net/11420/53891
Start Page
226
End Page
227
Citation
International Conference on Embedded Wireless Systems and Networks, EWSN 2019: 226-227
Contribution to Conference
International Conference on Embedded Wireless Systems and Networks, EWSN 2019  
Scopus ID
2-s2.0-85120806629
Publisher
Junction Publishing
ISBN
978-0-9949-8863-8
Glossy is a dissemination protocol that allows a node to propagate information to the entire network through constructive interference. We present GLOSSAI, a new artificial intelligence-based version of Glossy. We use reinforcement learning to determine and update Glossy’s parameters at runtime. Each node individually learns the best strategy to minimize energy consumption while maintaining high reliability. Furthermore, nodes can dynamically adapt their parameters to follow the dynamics of the medium.
Subjects
MLE@TUHH
DDC Class
600: Technology
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