Abstract
In this paper, we propose multi-characteristics based data scheduling over smart grid. Three different pricing strategies are presented based on user priority and load rate. Then the corresponding novel scheduling algorithms are introduced by the proposed data priority and pricing strategies. The simulation experiments are carried out to evaluate the proposed algorithms based on trace data. And the results show that our methods can outperform the conventional method.
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This work was supported in part by the Fundamental Key Research Project of Shanghai Municipal Science and Technology Commission (No. 12JC1404201).
Recommended by Guest Editor Yang Song
Dong-Feng Fang received the M.Eng. degree in control theory and control engineering from China University, Shanghai in 2014. She has researched in system identification and self-adaptive control during 2008–2009.
Her research interests include scheduling and pricing algorithm of demand response over smart grid.
Zhou Su has been working on the research fields including multimedia communication, web performance and network traffic. He received the Best Paper Award of International Conference CHINACOM 2008, and Funai Information Technology Award for Young Researchers 2009 in Japan.
Qi-Chao Xu is currently a master student in the School of Mechatronic Engineering and Automation of Shanghai University, China.
His research interests include the general area of wireless network architecture and mobile social network.
Ze-Jun Xu is currently a master student in the School of Mechatronic Engineering and Automation of Shanghai University, China.
His research interests include the general area of wireless sensor network architecture and routing algorithm.
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Fang, DF., Su, Z., Xu, QC. et al. Multi-characteristics based data scheduling over the smart grid. Int. J. Autom. Comput. 13, 151–158 (2016). https://doi.org/10.1007/s11633-016-0959-5
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DOI: https://doi.org/10.1007/s11633-016-0959-5