Data-driven stochastic scheduling for solar-powered sensor communications

Meng Lin Ku, Yan Chen, K. J.Ray Liu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper presents a data-driven approach of finding optimal scheduling policies for a solar-powered sensor node that attempts to maximize net bit rates by adapting its transmission to the changes of channel fading and battery recharge. The problem is formulated as a discounted Markov decision process (MDP) framework, whereby the energy harvesting process is stochastically quantized into several representative solar states with distinct energy arrivals and is totally driven by historical data records at a sensor node. We evaluate the average net bit rate of the optimal transmission scheduling policy, and computer simulations show that the proposed policy significantly outperforms other schemes with or without the knowledge of short-term energy harvesting and channel fading patterns.

原文???core.languages.en_GB???
主出版物標題2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面83-87
頁數5
ISBN(電子)9781479970889
DOIs
出版狀態已出版 - 5 2月 2014
事件2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
持續時間: 3 12月 20145 12月 2014

出版系列

名字2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

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???event.eventtypes.event.conference???2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
國家/地區United States
城市Atlanta
期間3/12/145/12/14

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