Bellhop模型在水声网络仿真中的实现和应用

刘奇佩; 刘琨; 罗逸豪; 吴鑫莹; 周河宇

doi:10.11993/j.issn.2096-3920.2023-0015

Bellhop模型在水声网络仿真中的实现和应用

doi: 10.11993/j.issn.2096-3920.2023-0015

刘奇佩^1,,
刘琨^2,,
罗逸豪^1,,
吴鑫莹^3, ,,
周河宇¹

1.
中国船舶集团有限公司第710研究所, 湖北宜昌, 443003
2.
国家计算机网络应急技术处理协调中心黑龙江分中心, 黑龙江哈尔滨, 150001
3.
华东理工大学艺术设计与传媒学院, 上海, 200030

详细信息

作者简介:
刘奇佩(1988-), 男, 博士, 工程师, 主要研究方向为水声网络技术及水声信号处理

通讯作者:
吴鑫莹(1989-), 女, 博士, 讲师, 主要研究方向为计算美学和智能算法

中图分类号: TJ630.34; U674.76
计量
- 文章访问数: 58
- HTML全文浏览量: 19
- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2023-02-20
- 修回日期: 2023-05-10
- 录用日期: 2023-05-22
- 网络出版日期: 2024-01-18

Implementation and Application of Bellhop Model in Underwater Acoustic Network Simulation

LIU Qipei^1
,,
LIU Kun^2
,,
LUO Yihao^1
,,
WU Xinying^{3
, ,},
ZHOU Heyu¹

1.
The 710 Research Institute, China State Shipbuilding Corporation Limited, Yichang 443003, China
2.
Heilongjiang Branch of National Computer Network Emergency Technology Processing and Coordination Center, Harbin 1500011, China
3.
School of Art Design and Media, East China University of Science and Technology, Shanghai 200030, China

摘要

摘要: 随着水声技术的发展, 水声网络(UANs)因其在海洋监视、灾害预警和海洋安全等领域的表现而备受关注。水声信道是影响UANs性能的重要因素之一, 其复杂特性直接影响着UANs相关协议的前期设计和评估, 对于协议走向实际应用至关重要。有别于传统理论模型, Bellhop水声信道模型通过跟踪射线计算海洋声场, 提供了一种更准确的获得不同海洋环境下信道特性的方法, 但该方法不能直接用于网络仿真。针对此, 文中在目前主流的网络仿真平台NS3上构建了基于Bellhop的水声信道模型, 将高斯射线模型用于水声网络仿真。对比结果表明, 该模型能够有效仿真声信号在水下的传播特性, 可为实际UANs协议开发提供参考。
- 水声网络 /
- 信道模型 /
- Bellhop /
- NS3
Abstract: With the development of underwater acoustic technology, underwater acoustic networks(UANs) have attracted much attention due to their performance in marine surveillance, disaster warning, and ocean security. The underwater acoustic channel is a crucial factor affecting the performance of UANs, and its complexity directly affects the pre-design and evaluation of UAN-related protocols, which is crucial to the practical application of protocols. Unlike traditional theoretical models, the Bellhop underwater acoustic channel model provides a more accurate method to obtain channel characteristics under different oceanic environments by calculating their acoustic fields via ray tracing. However, it cannot be directly applied to network simulation. This paper implemented a Bellhop underwater acoustic channel model based on NS3, the current most popular network simulation platform, and applied the Gaussian ray model to UAN simulation. The comparison results show that the model can effectively simulate the underwater propagation characteristics of acoustic signals and provide a reference for practical UAN-related protocol development.
- underwater acoustic networks /
- channel model /
- Bellhop /
- NS3

HTML全文

图 1 uan框架和数据流向

Figure 1. Framework and data flow direction of the uan

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图 2 基于高斯射线理论的波束传播衰减

Figure 2. Transmission loss for a geometric Gaussian beam

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图 3 Bellhop使用流程

Figure 3. User flow of the Bellhop model

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图 4 基于Bellhop的UACM流程图

Figure 4. Flow chart of the UACM based on Bellhop

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图 5 PDP和衰减计算方法

Figure 5. Method to calculate the PDP and attenuation

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图 6 网格状声场数据

Figure 6. Mesh grid shaped data of acoustic field

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图 7 理论信道模型的衰减

Figure 7. Attenuation of the Thorp theoretical UACM

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图 8 Bellhop信道模型的衰减

Figure 8. Attenuation of the Bellhop UACM

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图 9 MATLAB下Bellhop信道模型的衰减

Figure 9. Attenuation of the Bellhop UACM in MATLAB

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图 10 不同UACM条件下CW协议吞吐量

Figure 10. Throughputs of the CW protocol for different UACMs

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表 1 网络仿真参数

Table 1. Network simulation parameters

参数	值
海洋环境类型	Munk
网络范围/m²	1 000×1 000
节点数量	15
节点分布	均匀随机分布
源节点深度/m	10
目的节点深度/m	50
信号频率/Hz	15 000
MAC协议	CW(contention window)
协议时隙/s	0.2
CW长度	10~400
数据率/(bit/s)	80
仿真时间/s	2 000
仿真次数	3

下载: 导出CSV

参考文献(13)

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