International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

A Discrete Wavelet Transform Compression Technique Used in Underwater Sensor Network (UWSN) for Energy Efficiency

Author : Bharti narang ¹ Er. Amanpreet kaur ² Dr. Dheerendra Singh ³

Date of Publication :7th August 2015

Abstract: The underwater sensors are used in various activity monitoring, data sensing or other similar applications. The underwater sensors works in the dense medium than the air, which increases the possibility of higher data drop rates etc. The higher data drop rate decreases the efficiency of the Underwater Wireless Sensor Networks (UWSN), because high volumes of data drop causes higher number of missing values, which directly affects the statistical calculations. In this paper, the model has been proposed for the data compression of the sensor data in the underwater applications. The proposed model is offered with the discrete wavelet transform (DWT) method of compression. The DWT method decomposes the data into multiple coefficients. One coefficient is known as the approximation coefficient, which is the approximation of the original data, and the original data can be produced by using the reverse DWT process. The proposed model has been evaluated on the basis of network load, data loss, and power consumption etc. The experimental results have shown the effectiveness of the proposed model.

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