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| Compressed Sensing Algorithm Based on Data Fusion Tree in Wireless Sensor Networks |
| Huang Hai-ping①② Chen Jiu-tian①② Wang Ru-chuan①②③ Zhang Yong-can①② |
①(College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
②(Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China)
③(Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing 210003, China) |
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Abstract For the characteristic of energy-constrained in wireless sensor networks, considering routing strategy into the designing of the projection matrix, a Compressed Sensing algorithm based on Data Fusion Tree (CS-DFT) is proposed. It minimizes communication consumption by means of sparse random projection, and relevance between projection matrix and sparse basis is decreased in order to guarantee the data reconstruction quality while data fusion tree is generating. Simulation results show that, the proposed algorithm not only achieves a balance between reconstruction quality and energy consumption, but also has high adaptability to operate on a variety of data originated from different sparse basis.
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Received: 21 October 2013
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Corresponding Authors:
Huang Hai-ping
E-mail: hhp@njupt.edu.cn
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2014, Vol. 36 
