scholarly journals Stochastic Network Calculus for Delay Variation in UWAN Multichannel Communication

2020 ◽  
Vol 9 (5) ◽  
pp. 169-173
Keyword(s):  
Communication Channel ◽  
Channel Allocation ◽  
Numerical Results ◽  
Data Delivery ◽  
Network Calculus ◽  
Stochastic Network ◽  
Communication Needs ◽  
Channel Separation ◽  
Stochastic Network Calculus ◽  
Delay Variation

The behavior of underwater acoustic wireless communication is challenging one compared to terrestrial communication due to the unpredictable changes in underwater. The multichannel communication needs to consider a lot of parameters at the time of modeling and investigation such as losses and noise. Thus, communication channel separation is curiously inflexible to investigate all properties of underwater. Compared with other modes of communication, acoustics waves afford the sturdy data delivery and receiving capability in underwater. The channel allocation and detachment appearing quite difficult in acoustic with respect to techniques that induce the transmission of data digitally, which compared with the major properties of attenuation variation in underwater. In this proposal, we concentrate on the numerical results for the transmission and receiver end delay variation with the help of stochastic network calculus to measure the deviation between the simulation and numerical results (SNC) with respect to multichannel(MC).

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

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.

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