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Vol. 161, Issue 12, December 2013, pp. 253-258

 

Bullet

 

On Application of Advanced Algebra Matrix Problem to Sensors
 
1 Yu Wang, 1 Niqin Jing and 2 Xin Dai

1 Beijing Polytechnic, Beijing, 100015, P. R. China 2 Information Engineering Department, Wuhan Business University, Wuhan, 430056, P. R. China
E-mail: wyypkm@163.com

 

Received: 2 November 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: In order to reduce energy consumption of the sensor node communication and maximize the life cycle of wireless sensor network, this paper follows the principle of high-dimensional thinking represented by low-dimensional space, puts forward a wireless sensor network energy saving algorithm based on generalized inverse nonnegative matrix decomposition. First of all, it applies generalized inverse decomposition technique to perform initialization operation on the original communication data matrix. Then, non-negative matrix factorization is applied to make dimensionality reduction on characteristic space after the singular value decomposition. The simulation results show that: the algorithm can effectively compress communication data in WSN, solve the high dimension, high redundancy phenomenon of communication data, achieve the energy saving purpose for data transmission.

 

Keywords: Matrix, Generalized inverse decomposition, Wireless sensor network, Energy saving.

 

 

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