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Mobile Information Systems
Volume 2017, Article ID 2409830, 10 pages
https://doi.org/10.1155/2017/2409830
Research Article

Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems

1College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China
2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
3Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang, China
4Department of Mechanical Engineering Technology, New York City College of Technology, City University of New York, Brooklyn, NY 11201, USA
5IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598, USA

Correspondence should be addressed to Li Zhou; nc.ude.tdun@5302iluohz

Received 16 February 2017; Accepted 4 May 2017; Published 30 May 2017

Academic Editor: Jun Cheng

Copyright © 2017 Jiao Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jiao Zhang, Li Zhou, Angran Xiao, Sai Zeng, Haitao Zhao, and Jibo Wei, “Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems,” Mobile Information Systems, vol. 2017, Article ID 2409830, 10 pages, 2017. https://doi.org/10.1155/2017/2409830.