Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems.
Jiao Zhang; Li Zhou; Angran Xiao; Sai Zeng; Haitao Zhao; JiboWe
刊名MOBILE INFORMATION SYSTEMS
2017
文献子类期刊论文
英文摘要Both the densification of small base stations and the diversity of user activities bring huge challenges for today's heterogeneous networks, either heavy burdens on base stations or serious energy waste. In order to ensure coverage of the network while reducing the total energy consumption, we adopt a greenmobile cyberphysical system (MCPS) to handle this problem. In this paper, we propose a feature extraction method using sliding window to extract the distribution feature of mobile user equipment (UE), and a case study is presented to demonstrate that the method is efficacious in reserving the clusteringdistribution feature. Furthermore, we present traffic clustering analysis to categorize collected traffic distribution samples into a limited set of traffic patterns, where the patterns and corresponding optimized control strategies are used to similar traffic distributions for the rapid control of base station state. Experimental results show that the sliding window is more superior in enabling higher UE coverage over the grid method. Besides, the optimized control strategy obtained from the traffic pattern is capable of achieving a high coverage that can well serve over 98% of all mobile UE for similar traffic distributions.
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语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/11641]  
专题深圳先进技术研究院_集成所
作者单位MOBILE INFORMATION SYSTEMS
推荐引用方式
GB/T 7714
Jiao Zhang,Li Zhou,Angran Xiao,et al. Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems.[J]. MOBILE INFORMATION SYSTEMS,2017.
APA Jiao Zhang,Li Zhou,Angran Xiao,Sai Zeng,Haitao Zhao,&JiboWe.(2017).Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems..MOBILE INFORMATION SYSTEMS.
MLA Jiao Zhang,et al."Sliding Window Based Feature Extraction and Traffic Clustering for Green Mobile Cyberphysical Systems.".MOBILE INFORMATION SYSTEMS (2017).
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