Competing mobile network game: Embracing antijamming and jamming strategies with reinforcement learning

2013 IEEE Conference on Communications and Network Security, CNS 2013

Volumn , Issue , 2013, Pages 28-36

  Gwon, Youngjune ^a   Dastangoo, Siamak ^b   Fossa, Carl ^b   Kung, H T ^a  

^a HARVARD UNIVERSITY   (United States)

^b MIT LINCOLN LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE RADIO; JAMMING; MOBILE AD HOC NETWORKS; NETWORK SECURITY; WIRELESS NETWORKS;

AGGRESSIVE ENVIRONMENT; CENTRALIZED CONTROL; COGNITIVE RADIO NETWORK; JAMMING STRATEGIES; MINIMAX-Q LEARNING; MOBILE AD HOC NETWORKING; MOBILE NETWORK GAMES; STOCHASTIC FRAMEWORK;

REINFORCEMENT LEARNING;

EID: 84893605474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNS.2013.6682689     Document Type: Conference Paper

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