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Data Communication using OFDM System for Underwater Acoustic Sensor Network

IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology
© 2017 by IJCA Journal
ICQUEST 2016 - Number 1
Year of Publication: 2017
Jyotsna W. Chavhan
G. G. Sarate

Jyotsna W Chavhan and G G Sarate. Article: Data Communication using OFDM System for Underwater Acoustic Sensor Network. IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology ICQUEST 2016(1):10-13, August 2017. Full text available. BibTeX

	author = {Jyotsna W. Chavhan and G. G. Sarate},
	title = {Article: Data Communication using OFDM System for Underwater Acoustic Sensor Network},
	journal = {IJCA Proceedings on International Conference on Quality Up-gradation in Engineering Science and Technology},
	year = {2017},
	volume = {ICQUEST 2016},
	number = {1},
	pages = {10-13},
	month = {August},
	note = {Full text available}


In this paper, the low cost home-made underwater sensors are designed for underwater Acoustics Sensor Network. This system is used to read the values of pressure, temperature and salinity using these sensors under the water and then the values are transmitted from underwater sensor to base station receiver. The sensors are continuously reading these values. Here, the communication channel estimation model is designed using Rayleigh Fading method, where the Gaussian processes for complex values were used. The channel is called Rayleigh Fading since its phase is uniformly distributed in the range of (0,2?) for the zero value of the coefficients of amplitude and phase for time-varying delay line complex channel. Different algorithms and formulas are used for successful transmission of these values from one sensor to another. Acoustic channel is used for data transmission, which is estimated using Scattering function estimation and maximum data transmission can be possible using OFDM technique. Since the scattering nature of underwater communication raised the problem of multipath fading, Doppler delay, Doppler shift and Doppler spread. These all issues were tried to solve based on the maximum entropy modeling method. In this method the Doppler spread were identified in between the transmitted signal and the received signal. In this paper all the proposed method is tested with Matlab codes and their result are shown in terms of different plots. The hardware is designed and tested in shallow water environment and further be tested for other environment. The Matlab results are shown here for scattering function and absorption loss.


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