Title :
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
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);
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
DOI :
10.1109/ISCID.2011.133
