A Machine Learning Model for Wide Area Network Intelligence with Application to Multimedia Service
Author:
Affiliation:
1. National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences
2. University of Chinese Academy of Sciences
3. University of Science and Technology of China
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEP0003/_pdf
Reference27 articles.
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3. [3] Z. Huang, H. Okada, K. Kobayashi, and M. Katayama, “A study on cluster lifetime in multi-hop wireless sensor networks with cooperative MISO scheme,” J. Commun. Netw., vol.14, no.4, pp.443-450, 2012.
4. [4] H. Narimatsu, H. Kasai, and R. Shinkuma, “Area-based collaborative distributed cache system using consumer electronics mobile device,” IEEE Trans. Consum. Electron., vol.57, no.2, pp.564-573, 2011.
5. [5] Y. Sheng, J. Wang, H. Deng, and C. Li, “k-degree layer-wise network for geo-distributed computing between cloud and IoT,” IEICE Trans. Commun., vol.E99-B, no.2, pp.307-314, 2016.
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