The Effective Transmission of Acquired Sensor data with FFT, DWT and DTCWT in Different Channel Environment
Naveen H1, Chetan H2, Bhimsen Kulkarni3, Sudatta Mohanty4, Druva Kumar S5, Sreerama Reddy G M6
1Naveen H, Department of Electronic and Communication, New Horizon College of Engineering, Bangalore (Karnataka), India.
2Chetan H, Department of Electronic and Communication, C M R Institute of Technology, Bangalore (Karnataka), India.
3Bhimsen Kulkarni, Department of Electronic and Communication, New Horizon College of Engineering, Bangalore (Karnataka), India.
4Sudatta Mohanty, Department of Electronic and Communication, C M R Institute of Technology, Bangalore (Karnataka), India.
5Druva Kumar S, Department of Electronics and Communication, DSCE, Bangalore (Karnataka), India.
6Dr. Sreerama Reddy G M, Department of Electronics and Communication, CBIT, Kolar (Karnataka), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 737-742 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11360782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1136.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper describes the analysis of FFT, DWT and DTCDWT for effective transmission of acquired underwater sensor data in AWGN and Acoustic channel. The underwater temperature is acquired using a temperature sensor, pH value is acquired using pH sensor, and Depth of water is acquired using ultrasonic sensor. The sensor data is acquired using ARM Cortex M4 Microcontroller and the same data is processed using FFT, DWT and DTCDWT in AWGN channel and Acoustic channel for comparative analysis. Number of Samples is limited to 64 samples and SNR values ranging from 0 to 50 are considered for analysis. Graphical user interface is designed using MATLAB and the simulation results shows that number of errors after transmission in FFT is more compared to DWT and also number of errors is decreased in the case of DTCDWT.
Keywords: Acoustic Channel, DWT, DTCDWT, FFT.
Scope of the Article: Wireless Power Transmission