scholarly journals Channel Modeling for Underwater Acoustic Network Simulation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 136151-136175
Author(s):  
Nils Morozs ◽  
Wael Gorma ◽  
Benjamin T. Henson ◽  
Lu Shen ◽  
Paul D. Mitchell ◽  
...  
Keyword(s):  
Network Simulation ◽  
Channel Modeling ◽  
Underwater Acoustic ◽  
Underwater Acoustic Network

scholarly journals Channel Modeling for Underwater Acoustic Network Simulation

2020 ◽  
Author(s):  
Nils Morozs ◽  
Wael Gorma ◽  
Benjamin Henson ◽  
Lu Shen ◽  
Paul Mitchell ◽  
...  
Keyword(s):  
Channel Model ◽  
Network Simulation ◽  
World Ocean ◽  
Empirical Evaluation ◽  
Channel Modeling ◽  
Protocol Design ◽  
Simulation Code ◽  
Modeling Tool ◽  
Underwater Acoustic ◽  
Underwater Acoustic Network

This manuscript was submitted to IEEE Access on 12 Jun 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. In this paper, we bridge the gap between low level channel modeling via beam tracing and automated channel modeling, e.g. via the World Ocean Simulation System (WOSS), by providing a distilled UWA channel modeling tutorial from the network protocol design point of view. The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this paper is to provide a useful learning resource and modeling tool for UAN protocol researchers. Initial insights into the UAN protocol design and performance provided by the statistical channel modeling approach presented in this paper demonstrate its potential as a powerful modeling tool for future UAN research.<br></div>

scholarly journals Channel Modeling for Underwater Acoustic Network Simulation

2020 ◽  
Author(s):  
Nils Morozs ◽  
Wael Gorma ◽  
Benjamin Henson ◽  
Lu Shen ◽  
Paul Mitchell ◽  
...  
Keyword(s):  
Channel Model ◽  
Network Simulation ◽  
World Ocean ◽  
Empirical Evaluation ◽  
Channel Modeling ◽  
Protocol Design ◽  
Simulation Code ◽  
Modeling Tool ◽  
Underwater Acoustic ◽  
Underwater Acoustic Network

This manuscript was submitted to IEEE Access on 12 Jun 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic channel model. A common approach to simulating realistic underwater acoustic (UWA) channels is by using specialised beam tracing software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. In this paper, we bridge the gap between low level channel modeling via beam tracing and automated channel modeling, e.g. via the World Ocean Simulation System (WOSS), by providing a distilled UWA channel modeling tutorial from the network protocol design point of view. The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this paper is to provide a useful learning resource and modeling tool for UAN protocol researchers. Initial insights into the UAN protocol design and performance provided by the statistical channel modeling approach presented in this paper demonstrate its potential as a powerful modeling tool for future UAN research.<br></div>

scholarly journals Channel Modeling for Underwater Acoustic Network Simulation

2020 ◽  
Author(s):  
Nils Morozs ◽  
Wael Gorma ◽  
Benjamin Henson ◽  
Lu Shen ◽  
Paul Mitchell ◽  
...  
Keyword(s):  
Channel Model ◽  
Network Simulation ◽  
World Ocean ◽  
Empirical Evaluation ◽  
Channel Modeling ◽  
Point Of View ◽  
Modeling Framework ◽  
Simulation Code ◽  
Underwater Acoustic ◽  
Underwater Acoustic Network

This manuscript was submitted to IEEE Communications Surveys & Tutorials on 18 Feb 2020.<div><br></div><div>Abstract:</div><div><br></div><div>Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a realistic representation of the underwater acoustic (UWA) channel characteristics. A common approach to obtaining a realistic UWA channel model is by using specialised software such as BELLHOP. However, BELLHOP and similar modeling software typically require knowledge of ocean acoustics and a substantial programming effort from UAN protocol designers to integrate it into their research. In this paper, we bridge the gap between low level channel modeling via software like BELLHOP and automated channel modeling, e.g. via the World Ocean Simulation System (WOSS), by providing a distilled UWA channel modeling tutorial from the network protocol design point of view. The tutorial is accompanied by our MATLAB simulation code that interfaces with BELLHOP to produce channel data for UAN simulations. As part of the tutorial, we describe two methods of incorporating such channel data into network simulations, including a case study for each of them: 1) directly importing the data as a look-up table, 2) using the data to create a statistical channel model. The primary aim of this tutorial is to provide a useful learning resource aimed at UAN protocol researchers without a background in underwater acoustics. However, the initial insights provided by the statistical channel modeling framework presented in this paper also show its great potential to serve as the channel modeling tool for future UAN research.<br></div>

scholarly journals Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

2015 ◽  
Vol 40 (4) ◽  
pp. 822-840 ◽  
Author(s):  
Roald Otnes ◽  
Paul A. van Walree ◽  
Helge Buen ◽  
Heechun Song
Keyword(s):  
Network Simulation ◽  
Physical Layer ◽  
Underwater Acoustic ◽  
Lookup Tables ◽  
Underwater Acoustic Network
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