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Performance Evaluation of Adaptive Telemetry Acoustic Modem for Underwater Wireless Sensor Networks

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Smart and Innovative Trends in Next Generation Computing Technologies (NGCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 828))

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Abstract

Underwater acoustic communication is generally slow when contrasted with radio system. The medium is moderate as well as there are difficulties with the transmission because of signal absorption, multipath delay, channel can shift significantly between various transmitter and receiver pairs. So we should pick modem parameters in view of channel conditions. Oceanographers utilize acoustic signal to control submerged instruments and secure the information they gather remotely. This innovation can likewise be utilized to control anonymous submarines, called self-ruling submerged ocean vehicles (AUV’s) and get information once again from them in real time. There are a few techniques for transmitting information acoustically (i.e. modulation) used in Underwater communication. In this paper we proposed an Adaptive acoustic modem which adopts the suitable modulation technique between Quadrature Amplitude Modulation (QAM) and Frequency Shift Keying (FSK) on the basis of channel parameters i.e. Signal to Noise Ratio (SNR), Doppler shift, Bit error rate (BER), based on these parameters, the best modulation technique will be selected for communication purpose. The analysis of these parameters is done using MATLAB SIMULINK which is a graphical representation of simulation systems in real time environment.

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Correspondence to Hareesh Kumar or M. N. Sreerangaraju .

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Kumar, H., Nirmala, Y.N., Sreerangaraju, M.N. (2018). Performance Evaluation of Adaptive Telemetry Acoustic Modem for Underwater Wireless Sensor Networks. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-10-8660-1_22

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  • DOI: https://doi.org/10.1007/978-981-10-8660-1_22

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  • Print ISBN: 978-981-10-8659-5

  • Online ISBN: 978-981-10-8660-1

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