Compressed Sensing of IR-UWB Wireless Sensor Network Data Based on Two-Dimensional Measurements

2015 ◽  
Vol 24 (3) ◽  
pp. 627-632 ◽  
Author(s):  
Kai Wang ◽  
Xiaojun Jing ◽  
Yulin Liu ◽  
Qun Wan
Keyword(s):  
Wireless Sensor Network ◽  
Compressed Sensing ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Data ◽  
Two Dimensional ◽  
Dimensional Measurements

Research on Data Compression of WSN Based on Compressed Sensing

2014 ◽  
Vol 686 ◽  
pp. 423-428 ◽  
Author(s):  
Jun Xia Li
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Compressed Sensing ◽  
Data Compression ◽  
Network Coding ◽  
Sensor Network ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Network Data

For Wireless Sensor Networks (WSN) is responsible for sensing, collecting, processing and monitoring of environmental data, but it might be limited in resources. This paper describes in detail the compressed sensing theory, study the wireless sensor network data conventional compression and network coding method. The linear network coding scheme based on sparse random projection theory of compressed sensing. Simulation results show that this system satisfies the requirements of the reconstruction error of packets needed to reduce the number of nodes to the total number of 30%, improves the efficiency of data communications in wireless sensor network, reduce the energy consumption of the system. With other wireless sensor network data compression algorithm, the proposed algorithm has the advantages of simple realization, the compression effect is good, especially suitable for resource limited, and the accuracy requirements are not particularly stringent in wireless sensor networks.

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