Earticle

초록

영어

Energy consumption is a critical problem affecting the lifetime of wireless sensor networks (WSNs) in structural health monitoring (SHM). A huge original acquisition data was transmitted between nodes which occupy a large amount of communication bandwidth, and even lead to paralysis of WSNs. Thus, data compression to reduce network traffic and energy loss before transmission is necessary. A number of traditional techniques have proposed to solve this issue by sampling the full signal and then taking compression process. But it spends a lot of processing time. In this paper, we establish suitability compressive sensing (CS) to address some challenges using WSN. Through the improvement of reconstruction algorithm and the experimental demonstration, the application of this method could ensure the accuracy of the data as well as balance the network energy consumption. Moreover, it can also reduce the cost of data storage and transmission which makes a certain contribution to the quality for SHM.

목차

Abstract
 1. Introduction
 2. Compressive Sensing Theory
  2.1 Signal Sparsity and the Sparse Representation
  2.2 Measurement Matrix Selections in CS
  2.3 Reconstruction Algorithms Selection in CS
  2.4. Improved OMP Algorithm (TOMP)
 3. Performance Evaluation
  3.1 Evaluation Standards for CS Application in SHM
  3.2 Simulation Results
 4. Conclusions and Future Works
 Acknowledgments
 References

키워드

저자

• Sai Ji [ The Aeronautic Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China, 210016, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China, 210044 ]
• Liping Huang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China, 210044 ]
• Jin Wang [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China, 210044 ]
• Jian Shen [ Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China, 210044 ]
• Jeong-Uk Kim [ Department of Energy Grid, Sangmyung University, Seoul 110-743, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605