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1 Ergebnisse
1
Deep Reinforcement Learning for IoT Network Dynamic Cluster..:
, In:
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
,
Liu, Qingzhi
;
Cheng, Long
;
Ozcelebi, Tanir
.. - p. 600-603 , 2019
Link:
https://doi.org/10.1109/CCGRID.2019.00077
RT T1
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
: T1
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing
UL https://suche.suub.uni-bremen.de/peid=ieee-8752691&Exemplar=1&LAN=DE A1 Liu, Qingzhi A1 Cheng, Long A1 Ozcelebi, Tanir A1 Murphy, John A1 Lukkien, Johan YR 2019 K1 Servers K1 Data collection K1 Parallel processing K1 Reinforcement learning K1 Edge computing K1 Image edge detection K1 Dynamic scheduling K1 Deep Reinforcement Learning K1 DQN K1 IoT Network K1 Dynamic Clustering K1 Edge Computing SP 600 OP 603 LK http://dx.doi.org/https://doi.org/10.1109/CCGRID.2019.00077 DO https://doi.org/10.1109/CCGRID.2019.00077 SF ELIB - SuUB Bremen
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