Delay in underwater Acoustic Wireless single channel communication: Stochastic Network Calculus

2020 ◽  
Author(s):  
Saravanan M ◽  
Rajeev Sukumaran ◽  
Christhuraj M. R ◽  
Manikandan TT
Keyword(s):  
Single Channel ◽  
Network Calculus ◽  
Stochastic Network ◽  
Underwater Acoustic ◽  
Stochastic Network Calculus

Modelling Rayleigh Fading Channel in Underwater Wireless Communication Networks using Stochastic Network Calculus

2017 ◽  
Vol 84 (1-2) ◽  
pp. 29 ◽  
Author(s):  
M. R. Christhu Raj ◽  
Rajeev Sukumaran
Keyword(s):  
Communication Networks ◽  
Fading Channel ◽  
Wireless Channels ◽  
Network Performance ◽  
Wireless Channel ◽  
Network Calculus ◽  
Stochastic Network ◽  
Underwater Acoustic ◽  
Simulation Performance ◽  
Stochastic Network Calculus

A fundamental issue in underwater acoustic wireless channels is in analyzing the backlog and delay bounds that directly impacts the Quality of Service (QoS) performance in networks. Modern networks have been increasingly complex over the past few years in terms of control algorithms, applications and service expectations. Deterministic Networks Calculus (DNC) is not applicable to analyze QoS for the present day packet switched multimedia networks due to their inherently random behavior. To overcome these issues, Stochastic Network Calculus (SNC) has given rise to the optimism that it can emerge as an elegant mathematical modeling tool for assessing current network performance. In this work, we develop an underwater acoustic wireless channel subject to fading eects based on SNC that obtains Stochastic Arrival Curve (SAC) and Stochastic Service Curve (SSC). Using this we also derive the stochastic performance for delay and backlog bounds in underwater acoustic fading channel. The simulation performance analysis and bounds show that this method can provide guidelines for designing transmission strategies in underwater acoustic wireless channels.

scholarly journals Modeling Nakagami Fading channel in Underwater wireless sensor network using Stochastic Network Calculus

2019 ◽  
Vol 9 (1) ◽  
pp. 7524-7530
Keyword(s):  
Fading Channel ◽  
Good Condition ◽  
Effective Bandwidth ◽  
Underwater Acoustic Communication ◽  
Nakagami Fading ◽  
Network Calculus ◽  
Stochastic Network ◽  
Underwater Acoustic ◽  
Nakagami Fading Channel ◽  
Stochastic Network Calculus

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.

h-Mitigators: Improving your stochastic network calculus output bounds

2019 ◽  
Vol 144 ◽  
pp. 188-197 ◽  
Author(s):  
Paul Nikolaus ◽  
Jens Schmitt ◽  
Malte Schütze
Keyword(s):  
Network Calculus ◽  
Stochastic Network ◽  
Stochastic Network Calculus
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