Data-Driven Stochastic Models and Policies for Energy Harvesting Sensor Communications

Energy harvesting from the surroundings is a promising solution to perpetually power-up wireless sensor communications. This paper presents a data-driven approach of finding optimal transmission policies for a solar-powered sensor node that attempts to maximize net bit rates by adapting its transmis...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2015-08, Vol.33 (8), p.1505-1520
Main Authors: Meng-Lin Ku, Yan Chen, Liu, K. J. Ray
Format: Article
Language:English
Subjects:
Batteries
Bit rate
Channels
Energy harvesting
Energy policy
Fading
Hidden Markov models
Markov analysis
Markov decision process
Markov processes
Mathematical models
Modulation
Optimization
Policies
Sensors
Solar energy
solar-powered communication
stochastic data-driven model
transmission policy
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