Reviewing the process of data fusion in wireless sensor network: A brief survey

被引：12

作者：

Shivaprasad Yadav, S.G. ^{[1
]}

Chitra, A. ^{[2
]}

Lakshmi Deepika, C. ^{[3
]}

机构：

[1] Department of Telecommunication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka

[2] Department of Computer Applications, P.S.G College of Technology, Coimbatore, Tamil Nadu

[3] Department of Biomedical Engineering, P.S.G College of Technology, Coimbatore, Tamil Nadu

来源：

International Journal of Wireless and Mobile Computing | 2015年 / 8卷 / 02期

关键词：

Data aggregation technique; Data fusion technique; Information aggregation; Wireless sensor network;

D O I：

10.1504/IJWMC.2015.068617

中图分类号：

学科分类号：

摘要：

Wireless sensor network is deployed on human inaccessible region to perform a very sensitive task where various external and internal factors affect the results being accumulated by the sensing node. Data fusion is one such technique. With the upcoming applications of wireless sensor network, it is also accompanied by various power and quality related issues. However, it was seen that whatever are the challenges or issues, it affects basically the data collection techniques from sensor nodes and corresponding forwarding to sink node. Hence, this paper aims to perform an exclusive investigation of the data fusion with respect to various standard architectures, standard algorithms and techniques investigated in the past study for performing data fusion, followed by open issues and research gap in the existing system adopted for enhancing the efficiency of data fusion techniques. Copyright © 2015 Inderscience Enterprises Ltd.

引用

页码：130 / 140

页数：10

共 57 条

[21]

Gupta V., Pandey R., Data fusion and topology control in wireless sensor networks, WSEAS Transactions on Signal Processing, 4, 4, pp. 150-172, (2008)

[22]

Hart G., Li B., Infer: A Bayesian inference approach towards energy efficient data collection in dense sensor networks, Proceedings of 25th IEEE International Conference on Distributed Computing Systems, pp. 371-380, (2005)

[23]

Hermans F., Data Fusion Based on Distributed Quality Estimation in Wireless Sensor Networks, pp. 1-129, (2009)

[24]

Hermans F., Dziengel J.S., Quality estimation based data fusion in wireless sensor networks, IEEE 6th International Conference on Mobile Adhoc and Sensor Network, pp. 1068-1070, (2009)

[25]

Hosseingholizadeh A., A neural network approach for wireless sensor network power management, Proceedings of 2nd International Workshop on Dependable Network Computing and Mobile Systems, (2009)

[26]

Definitions of Sensor Data Fusion in the Literature, (2014)

[27]

Javadi S., Clone-based mobile agent itinerary planning using separate trees for data fusion in WSNs, International Journal of Wireless & Mobile Networks, 4, 4, pp. 227-242, (2012)

[28]

Jian X., Xun L.J., Sheng X., Data fusion for target tracking in wireless sensor networks using quantized innovations and Kalman filtering sensor network, Information Science, 55, 3, pp. 530-544, (2012)

[29]

Kay M.G., Luo R.C., Data fusion and sensor integration: State-of-the-art 1990s, Data Fusion in Robotics and Machine Intelligence, pp. 7-135, (1992)

[30]

Lewis T.W., Powers D.M.W., Audio-visual speech recognition using red exclusion and neural networks, Proceedings of the 25th Australasian Conference on Computer Science, pp. 149-156, (2002)

← 1 2 3 4 5 6 →