Adaptive duty cycling in sensor networks with energy harvesting using continuous-time markov chain and fluid models

Adaptive duty cycling in sensor networks with energy harvesting using continuous-time markov chain and fluid models

The dynamic and unpredictable nature of energy harvesting sources available for wireless sensor networks, and the time variation in network statistics like packet transmission rates and link qualities, necessitate the use of adaptive duty cycling techniques. Such adaptive control allows sensor nodes...

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書目詳細資料
Main Authors:	Chan, Ronald Wai Hong, Zhang, Pengfei, Nevat, Ido, Nagarajan, Sai Ganesh, VALERA, Alvin Cerdena, TAN, Hwee Xian
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2015
主題:	Wireless sensor networks adaptive duty cycle continuous-time Markov chain Markov decision process reinforcement learning fluid model Computer Sciences Databases and Information Systems Digital Communications and Networking
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/3808 https://ink.library.smu.edu.sg/context/sis_research/article/4810/viewcontent/Adaptive_duty_cycling_in_sensor_networks_with_energy_harvesting_using_continuous_time_markov_chain_and_fluid_models.pdf
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