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 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

Modeling Underwater Time-Varying Acoustic Channel Using OPNET

2012 ◽  
Vol 263-266 ◽  
pp. 1178-1183 ◽  
Author(s):  
Wei Gang Bai ◽  
Hai Yan Wang ◽  
Rui Qin Zhao
Keyword(s):  
Channel Model ◽  
Simulation Software ◽  
Water Medium ◽  
Time Varying ◽  
Underwater Acoustic Channel ◽  
Underwater Acoustic ◽  
Acoustic Channel ◽  
Received Power ◽  
Underwater Acoustic Network ◽  
The Impact

Underwater acoustic networks (UWAN) play a crucial role in the development of modern marine military defense and civilian marine. In many cases, the simulation of routing and MAC protocols in underwater acoustic network has ignored the impact of some critical features of complex underwater acoustic channel upon UWAN performances. This paper establishes a channel model for the Rayleigh fading channel in shallow-water medium-range communication in OPNET network simulation software. It simulates the time-varying and multi-path effects of underwater acoustic channel, which are reflected in the received power and bit error rate. Finally the validity of this channel model is verified by simulations.

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

scholarly journals Robust Silent Localization of Underwater Acoustic Sensor Network Using Mobile Anchor(s)

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 727
Author(s):  
Rahul Mourya ◽  
Mauro Dragone ◽  
Yvan Petillot
Keyword(s):  
Channel Model ◽  
Low Cost ◽  
Sensor Nodes ◽  
Noise Model ◽  
Robust Estimator ◽  
Acoustic Sensor ◽  
Underwater Acoustic ◽  
Acoustic Channel ◽  
Localization Scheme ◽  
Mobile Anchor

Underwater acoustic sensor networks (UWASNs) can revolutionize the subsea domain by enabling low-cost monitoring of subsea assets and the marine environment. Accurate localization of the UWASNs is essential for these applications. In general, range-based localization techniques are preferred for their high accuracy in estimated locations. However, they can be severely affected by variable sound speed, multipath spreading, and other effects of the acoustic channel. In addition, an inefficient localization scheme can consume a significant amount of energy, reducing the effective life of the battery-powered sensor nodes. In this paper, we propose robust, efficient, and practically implementable localization schemes for static UWASNs. The proposed schemes are based on the Time-Difference-of-Arrival (TDoA) measurements and the nodes are localized passively, i.e., by just listening to beacon signals from multiple anchors, thus saving both the channel bandwidth and energy. The robustness in location estimates is achieved by considering an appropriate statistical noise model based on a plausible acoustic channel model and certain practical assumptions. To overcome the practical challenges of deploying and maintaining multiple permanent anchors for TDoA measurements, we propose practical schemes of using a single or multiple surface vehicles as virtual anchors. The robustness of localization is evaluated by simulations under realistic settings. By combining a mobile anchor(s) scheme with a robust estimator, this paper presents a complete package of efficient, robust, and practically usable localization schemes for low-cost UWASNs.

scholarly journals Joint UAV channel modeling and power control for 5G IoT networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xiuhua Fu ◽  
Tian Ding ◽  
Rongqun Peng ◽  
Cong Liu ◽  
Mohamed Cheriet
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Channel Model ◽  
Path Loss ◽  
Channel Modeling ◽  
Signal Propagation ◽  
Spectrum Efficiency ◽  
Propagation Path ◽  
Control Factor ◽  
The Impact

AbstractThis paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.

scholarly journals Time-Varying Communication Channel High Altitude Platform Station Link Budget and Channel Modeling

Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 210
Author(s):  
Xiaoyang Liu ◽  
Hengyang Liu ◽  
Chao Liu ◽  
Ya Luo
Keyword(s):  
High Altitude ◽  
Channel Model ◽  
Channel Modeling ◽  
Link Quality ◽  
Communication Link ◽  
Noise Power ◽  
Golay Code ◽  
High Altitude Platform ◽  
Link Budget ◽  
High Altitude Platform Station

Because of the high BER (Bit Error Rate), low time delay and low channel transmission efficiency of HAPS (High Altitude Platform Station) in the near space. The link budget of HAPS and channel model are proposed in this paper. According to the channel characteristic, the channel model is set up, combined with different CNR (Carrier Noise Ratio), elevation angle, coding situations of wireless communication link by using Hamming code, PSK (Pulse Shift Keying) and Golay code respectively, then the situations of link quality and BER are analyzed. The simulation results show that the established model of the link budget and channel are suitable for the theoretical analysis results. The elevation of the HAPS communication link is smaller while the BER is increasing. The case of channel in the coding is better than in the un-coded situation. When every bit power and thermal noise power spectral density is larger, the BER of the HAPS communication link is becoming smaller.

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