Channel Modelling of Underwater Communication Network with AUVS
R.S Deepak Ram1, Vijayalakshmi.P2, Venkataraman Padmaja3, T. Jaya4, V. Rajendran5
1R. S Deepak Ram*, Research Scholar, Dept. of ECE, VISTAS, Pallavaram, Chennai, Tamil Nadu, India.
2Vijayalakshmi. P, Asst. professor, Dept. of ECE, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu, India.
3Venkataraman Padmaja, Research Scholar, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
4Dr. T. Jaya, Asst. professor, Dept. of ECE, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu, India.
5Dr. V. Rajendran, Professor and Director of Department of Electronics and Communication Engineering, VISTAS, Chennai, Tamil Nadu, India.
Manuscript received on October 14, 2019. | Revised Manuscript received on 21 October, 2019. | Manuscript published on November 10, 2019. | PP: 3012-3015 | Volume-9 Issue-1, November 2019. | Retrieval Number: A9126119119/2019©BEIESP | DOI: 10.35940/ijitee.A9126.119119
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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: Underwater communication network always consists of static, slow, and fast-movingnodeslimitedto a few tens of nodes. In generally, network is governed by acoustic system as a communication model. This makes the system as BW limited, spectrum inefficiency etc. In addition, the sensors are autonomously put in the sea bottom is battery supported and so the energy optimization is also needed to be addressed in this paper. The paper explains on detailed comparison on performance of different channel modelling of. Ainslie and McColm Model, Ambient Noise Model, Thorp Model &. Fisher & Simmons Model. The analysis shows that Ainslie -McColm and Fisher & Simmons gives better energy optimization.
Keywords: Acoustic ocean Modelling, Underwater Technology, Wireless Communication Network.
Scope of the Article: Wireless Communication