Poster: Learning to Shine - Optimizing Glossy at Runtime with Reinforcement Learning
Paper i proceeding, 2019

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.

wireless sensor networks

network flooding

artificial intelligence

Glossy

reinforcement learning

IoT

Författare

Valentin Poirot

Chalmers, Data- och informationsteknik, Nätverk och system

Olaf Landsiedel

Chalmers, Data- och informationsteknik, Nätverk och system

Christian-Albrechts-Universität zu Kiel

International Conference on Embedded Wireless Systems and Networks

25622331 (eISSN)

Vol. 2019 226-227
978-099498863-8 (ISBN)

International Conference on Embedded Wireless Systems and Networks, EWSN 2019
Beijing, China,

Ultralåg fördröjning, effektsnåla trådlösa nät

Stiftelsen för Strategisk forskning (SSF) (FFL15-0062), 2017-01-01 -- 2021-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Datavetenskap (datalogi)

Mer information

Senast uppdaterat

2024-01-03