Research of Compressed Sensing Theory in WSN Data Fusion

Author

Li, Li ; Li, Jian

Author_Institution

Dept. of Comput. Sci. & Eng., Henan Institue of Eng., Zhengzhou, China

Volume

2

fYear

2011

fDate

28-30 Oct. 2011

Firstpage

125

Lastpage

128

Abstract

Data fusion is an important technology in WSN, But with the expansion of the scope object sensor and complexity increase, the fusion function is more and more complex, Energy consumption of the fusion operation is required more and more. Therefore, the energy consumption of the data fusion and the data transmission has been can´t ignored already. Using the compressive sensing theory in the WSN data fusion, It´s using auto-adapted data fusion algorithm. Collect and fusion the correlation node sensation data in the route process, To keep the total cost of the transmission and integration of energy close to the minimum.

Keywords

correlation methods; data communication; data compression; sensor fusion; wireless sensor networks; WSN data fusion; auto-adapted data fusion algorithm; compressed sensing theory; compressive sensing theory; correlation node sensation data; data transmission; energy consumption; fusion function; fusion operation; route process; scope object sensor; Compressed sensing; Distributed databases; Energy consumption; Signal processing algorithms; Sparse matrices; Vectors; Wireless sensor networks; Auto-adapted Data Fusion Algorithm; Compressive Sensing(CS); Transmission Energy Consumption; Wireless Sensor Networks (WSN);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-1085-8

Type

conf

DOI

10.1109/ISCID.2011.133

Filename

6079753