Real-time power management for embedded m2m using intelligent learning methods

ACM Transactions on Embedded Computing Systems

Volumn 13, Issue , 2014, Pages

  Paul, Anand ^a  

^a Kyungpook National University   (South Korea)

Author keywords

Dynamic power management; Intelligent reinforcement and indexing

Indexed keywords

COMPUTER SOFTWARE; LEARNING SYSTEMS; MARKOV PROCESSES; REINFORCEMENT LEARNING;

COMPUTATIONAL APPROACH; DYNAMIC POWER MANAGEMENT; EVENT-DRIVEN SIMULATORS; FORMAL FRAMEWORK; INTELLIGENT LEARNING; REAL-TIME POWER MANAGEMENTS; SERVICE QUEUES; WORKING MODELS;

POWER MANAGEMENT;

EID: 84908211309     PISSN: 15399087     EISSN: 15583465     Source Type: Journal    
DOI: 10.1145/2632158     Document Type: Article

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