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Vol. 157, Issue 10, October 2013, pp. 51-56




Research on Applications of Information Fusion Technology in WSNs
1 Geng ZHANG, 2 Hao XU, 3 Hao DENG

1 Chongqing Technology and Business Institute, No.1, Hualong Avenue, Jiulong Science and Technology Park, Jiulongpo District, Chongqing City, 400052, China

2 Chongqing Electric Power College, No. 9, The Fourth Electric Power Village, Wulong Temple, Jiulongpo District, Chongqing City, 400053, China

 3 Chongqing Industry Polytechnic College, No. 1000, Taoyuan Avenue, Yubei District (Kongang), Chongqing City, 401120, China

1 Tel.: +8618523073848, fax: 18523073848

1 E-mail: zhanggeng185@126.com


Received: 23 August 2013   /Accepted: 25 October 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems


Abstract: The wireless sensor networks (WSNs) link the virtual information world and the objective physical world together which changed the interacting mode between human and the nature. This kind of networks can work in the unattended or severe environment for a long time. For this advantage, WSN has important studying value and wide market outlook in many domains such as national defense and military, industries and agriculture, city management system, environment detective and so on. However, there are some defects for the WSN. For example, if its energy is enough for the system, if the working life is long enough, or the saving performance is not good. For this, the WSNs need the information fusion technology for better effect. To different environments, we should use different fusion algorithms, in this paper, we have analyzed the applications of three main algorithms at present in the WSNs. To these algorithms, there are corresponding resolutions in different environments.


Keywords: Wireless sensor networks, Multi-sensor networks, Information fusion algorithm, D-S (Dempster-Shafe) evidence theory, Kalman filtering, BP neural network.


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