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Open AccessArticle

A Structure Fidelity Approach for Big Data Collection in Wireless Sensor Networks

Department of Computer Science, Central China Normal University, Wuhan 430079, China
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China
School of Computer Science, Colorado Technical University, Colorado Spring, CO 80907, USA
Author to whom correspondence should be addressed.
Sensors 2015, 15(1), 248-273;
Received: 19 September 2014 / Accepted: 11 December 2014 / Published: 25 December 2014
(This article belongs to the Special Issue Sensor Computing for Mobile Security and Big Data Analytics)
PDF [501 KB, uploaded 25 December 2014]


One of the most widespread and important applications in wireless sensor networks (WSNs) is the continuous data collection, such as monitoring the variety of ambient temperature and humidity. Due to the sensor nodes with a limited energy supply, the reduction of energy consumed in the continuous observation of physical phenomenon plays a significant role in extending the lifetime of WSNs. However, the high redundancy of sensing data leads to great waste of energy as a result of over-deployed sensor nodes. In this paper, we develop a structure fidelity data collection (SFDC) framework leveraging the spatial correlations between nodes to reduce the number of the active sensor nodes while maintaining the low structural distortion of the collected data. A structural distortion based on the image quality assessment approach is used to perform the nodes work/sleep scheduling, such that the number of the working nodes is reduced while the remainder of nodes can be put into the low-power sleep mode during the sampling period. The main contribution of SFDC is to provide a unique perspective on how to maintain the data fidelity in term of structural similarity in the continuous sensing applications for WSNs. The simulation results based on synthetic and real world datasets verify the effectiveness of SFDC framework both on energy saving and data fidelity. View Full-Text
Keywords: data collection; spatial correlation; wireless sensor network; structure fidelity data collection; spatial correlation; wireless sensor network; structure fidelity
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Wu, M.; Tan, L.; Xiong, N. A Structure Fidelity Approach for Big Data Collection in Wireless Sensor Networks. Sensors 2015, 15, 248-273.

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