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A Q-Learning Approach With Collective Contention Estimation for Bandwidth-Efficient and Fair Access Control in IEEE 802.11p Vehicular Networks.
Andreas Pressas
Zhengguo Sheng
Falah H. Ali
Daxin Tian
Published in:
IEEE Trans. Veh. Technol. (2019)
Keyphrases
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access control
fine grained
security policies
role based access control
data security
dynamic access control
access control policies
reinforcement learning
multi agent
routing scheme
access control models
web services
network bandwidth
access control mechanism
access control systems