Earticle

초록

영어

Missing data is a common phenomenon in the data collection process of wireless sensor network (WSN), and the missing data imputing is an important issue of WSN stream data mining. Currently WSN missing data imputing method has little considered about the dynamic characteristics of internal data time structure during the data collection process, which makes data imputing difficult to reflect the real monitoring change objectively. In order to analyze the internal structure and dynamics of WSN time sequence data systematically, with the equivalence relation of the monitored object the time domain can be regarded as a series of integral time granule (ie atomic time point set), a wireless sensor network timing information system (WTIS) is established. The system can reason logically at different time granularity, and a multiple optimal time granularity strategy of WTIS based on hierarchical successive approximation approach is proposed. Finally, based on the research, a multiple optimal time granularity WSN missing data clustering imputing algorithm is proposed. Compared with traditional fixed time granularity missing data imputing algorithm, experiments show that the algorithm can lower error rate when imputing WSN missing data.

목차

Abstract
 1. Introduction
 2. WSN Time Series Data Modeling
  2.1. Time Granulation and WSN Time Series Information System Modeling
  2.2. The Optimal Time Granularity based on WTIS
 3. WSN Optimal Time Granularity Acquisition and Missing Data Imputing Applications
  3.1. Experiments
  3.2. Analysis of Experimental Results
 4. Conclusion
 References

키워드

저자

• Jianfeng Xu [ Software and Information Engineering School, Tongji University, Shanghai, 201804, China, Software school, Nanchang University, Nanchang, Jiangxi, 330047, China ]
• Yu Li [ Software school, Nanchang University, Nanchang, Jiangxi, 330047, China, North Automatic Control Technology 1nstitute, Taiyuan, Shanxi, 030006, China ]
• Yuanjian Zhang [ Software and Information Engineering School, Tongji University, Shanghai, 201804, China, Software school, Nanchang University, Nanchang, Jiangxi, 330047, China ]
• Azhar Mahmood [ Software school, Nanchang University, Nanchang, Jiangxi, 330047, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605