Modeling Nakagami Fading channel in Underwater wireless sensor network using Stochastic Network Calculus
A. Sivajayaprakash1, T.K. Thivakaran2
1Sivajayaprakash A, Department of Information Technology, SRMIST- kattankulathur, Kancheepuram District, Tamil Nadu, India.
2Dr. T. K. Thivakaran, Professor, Department of Computer Science and Engineering, Presidency University, Yelahanka, Bengaluru India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 7524-7530 | Volume-9 Issue-1, October 2019 | Retrieval Number: D6419048419/2019©BEIESP | DOI: 10.35940/ijeat.D6419.109119
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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 acoustic communication is growing famously day to day because of its important in many applications like offshore search, underwater search. In UWNS while signal is transmitting source to destination the signals are suspected by fading and noise. The QoS guarantees like small backlog, low packet delay are need to be in good condition for Real-time applications. Important role of this designing is Performance evaluation. Analytical models constructed by using (a) queuing theory, (b) effective bandwidth, and (c) deterministic network calculus. These were not adequate to sustain and assess the present packet switched networks. Stochastic Network Calculus is the solution for these issues. The SNC tool can be used to model and network performance assessment, especially for UWSN. In this paper, we have developed an underwater acoustic channel that is subjected to Nakagami fading channel based on SNC to arrive at Stochastic Arrival Curve and Stochastic Service Curve. Backlog bound and delay bounds stochastic performance are derived by using this model.
Keywords: Backlog, Delay, Deterministic Network Calculus, Effective Bandwidth, Nakagami Fading, Queuing theory Stochastic Network Calculus, Underwater acoustics.