Call For Paper Volume:4 Issue:10 Oct'2017 |

Estimation of Robust Standard by using Compression Sensing Data in Wireless Sensor Network

Publication Date : 30/11/2014



Author(s) :

Brindha.M , Prabaharan.P.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

Wireless sensor networks (WSNs) is the collection of physical measurements in a geographical area. It tracks the spatial-average of the sensor measurements in a region. Since it is highly vulnerable to sensor faults and measurement noise the average operation is not robust. In this paper the proposed computational efficient method is used to compute a weight average of sensor measurement. It takes consideration of sensor faults and sensor noise. WSN uses random projections of sensor to compress data and send the compressed data to the data fusion center. The computation efficient method uses the data fusion center for direct work with the compressed data stream. The fusion center performed decompression at the time of computed weighted average. Thus, it reduces the computational requirements. Hence the proposed method gives better accuracy and more efficient for the WSN.


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Estimation of Robust Standard by using Compression Sensing Data in Wireless Sensor Network

December 4, 2014