Hybrid Sensor Network Data Compression with Error Resiliency

2018 ◽  
Author(s):  
Chiman Kwan ◽  
Yvonne Luk
Keyword(s):  
Data Compression ◽  
Sensor Network ◽  
Network Data ◽  
Error Resiliency

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.

A Microclimate Monitor Sensor Network with an Effective Data Aggression Algorithm

2014 ◽  
Vol 490-491 ◽  
pp. 1209-1216
Author(s):  
Rui Rui Zhang ◽  
Shang Feng Du ◽  
Li Ping Chen ◽  
Gang Xu ◽  
Jie Kan
Keyword(s):  
Wireless Sensor Network ◽  
Data Compression ◽  
Sensor Network ◽  
Algorithm Design ◽  
Wireless Sensor ◽  
Network Data ◽  
Network Technology ◽  
Dynamic Changes ◽  
Power Cost ◽  
Fine Grained

Wireless sensor network technology has the potential to reveal fine-grained, dynamic changes in monitored variables of outdoor landscape. But there are significant problems to be overcome in order to realize the vision in working systems, such as effective utilize of energy, prolong network life and improve sensor accuracy. This paper describes the design and evaluation of a sensor network with an effective data aggression algorithm applied in orchard microclimate monitor. A novel feature of the solution is its data compression algorithm design, in which all sensors were encoded with Morton code and a logical multi-lays cluster was constructed among the nodes. Making use of the similarity of the output of the sensors, the algorithm reduces network data amount and power cost significantly to prolong life of the network. Tests and experiments results are shown in diagrammatic form. The system was field tested over one month in Nankou farm located in Beijing province of China. The experimental results demonstrate that effective collecting of environmental information can be achieved by using our proposed system.

Using data mules for sensor network data recovery

2016 ◽  
Vol 40 ◽  
pp. 26-36 ◽  
Author(s):  
Jon Crowcroft ◽  
Liron Levin ◽  
Michael Segal
Keyword(s):  
Sensor Network ◽  
Data Recovery ◽  
Network Data ◽  
Using Data
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