Design and realization of data loss compensation system based on compressed sensing

Ruidan Xue; Yi Zhang; Yan Yu

doi:10.1117/12.2296271

27 March 2018 Design and realization of data loss compensation system based on compressed sensing

Ruidan Xue, Yi Zhang, Yan Yu

Proceedings Volume 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018; 105983R (2018) https://doi.org/10.1117/12.2296271
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

Data loss in wireless transmission is an important factor that restricts the reliable development of wireless sensor networks. However, the compression sensing theory indicates that as long as the signal is sparse or compressible, it can be collected in a low sampled frequency and reconstructed by an algorithm accurately while in data loss. It shows that compressed sensing theory can be a good solution to the problem of data loss. In this paper, a wireless data loss compensation algorithm based on compressed sensing is proposed, and a WiFi-based wireless sensor network hardware system is designed to verify the effectiveness of the algorithm. The developed system with star topology, is composed of sensor nodes, base stations and host computers. The workflow of the system is: when receiving the acquisition instructions issued by the host compute, the nodes begin to collect data, the central processing unit randomly encodes the collected data, the processed data and the original one are sent to the host computer to stores and displays separately. If some data lost during transmission, the compensation algorithm is used for data reconstruction. Through the test, the developed system can realize the expected function, and the proposed algorithm can reconstruct the lost data in the wireless transmission process to a certain extent. In summary, the data loss compensation algorithm is of great value in solving data loss problem and also has far-reaching significance to the development of structural health technology based on wireless sensor network.

Citation Download Citation

Ruidan Xue, Yi Zhang, and Yan Yu "Design and realization of data loss compensation system based on compressed sensing", Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 105983R (27 March 2018); https://doi.org/10.1117/12.2296271

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Reconstruction algorithms

Sensor networks

Signal attenuation

Computing systems

Sensors

Compressed sensing

Data acquisition

Show All Keywords

Keywords/Phrases

Search In:

Publication Years