Combining network coding and compressed sensing for error correction in wireless sensor networks

2014 ◽  
Vol 28 (7) ◽  
pp. 1303-1315 ◽  
Author(s):  
Siguang Chen ◽  
Meng Wu ◽  
Kun Wang ◽  
Zhixin Sun ◽  
Weifeng Lu
2014 ◽  
Vol 686 ◽  
pp. 423-428 ◽  
Author(s):  
Jun Xia Li

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.


2014 ◽  
Vol 11 (13) ◽  
pp. 171-178 ◽  
Author(s):  
Tuanfa Qin ◽  
Yunfan Meng ◽  
Liangliang Li ◽  
Haibin Wan ◽  
Dongmei Zhang

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