Intelligent AUV-Assisted Heterogeneous Underwater Acoustic Sensor Networks

智能 AUV 辅助异构水下声学传感器网络

• 批准号: 293264-2012
• 负责人: Li, Cheng
• 金额: $ 1.82万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637352
• 关键词: Intelligent; AUV; Assisted; Heterogeneous; Underwater

The UnderWater acoustic Sensor Network (UWSN) is an emerging networking platform that promises a wide range of potential applications, ranging from environmental monitoring, industrial instrumentation monitoring and control, to military surveillance and security monitoring. The advancement of UWSN study is further augmented by the recent increasing interest and engineering activity in the design and deployment of AUVs (Autonomous Unmanned Vehicles), which has required that UWSNs incorporate mobility properties. The use of AUV (or groups of AUVs) will facilitate network deployment strategy, maximize network coverage, and enable high-speed networking; however, it also raises new challenges for localization and synchronization, route planning, medium access control, coordinated estimation, and network connectivity due to the sparse deployment, low communication bandwidth, large propagation delay and delay variation, frequency dependent attenuation, strong multi-path and Doppler effects, and long reach of the acoustic signals of the UWSNs. The objectives of the proposed research are (1) to study the delay/disruption-tolerant network architecture of the UWSNs; (2) to design and evaluate a delay/disruption-tolerant link and network layer protocols; (3) to utilize cooperative communication and networking to improve network functionalities; and (4) to apply a compressed sensing technique for better underwater channel estimation. The impact of AUVs and sensor mobility to algorithm design and network performance will be closely studied for these research objectives. In addition to novel algorithms and analytical models, a hardware platform for prototype design, implementation, and testing will be established through this research. The proposed research will be an ideal platform for highly qualified personnel (HQP) training, where the students will learn to conduct independent and creative research, as well as obtain valuable hands-on experience. This research will help solidify Canada's place in the forefront of underwater communications and networking technologies and provide valuable communication network support for Canada's future natural resources exploitation, environment monitoring, and national security.

水下声学传感器网络（UWSN）是一个新兴的网络平台，有望提供广泛的潜在应用，从环境监测，工业仪器监控和控制到军事监视和安全监控。 UWSN研究的进步进一步增加了最近在AUVS的设计和部署（自动驾驶汽车）中日益增加的兴趣和工程活动，这要求UWSN融合了移动性属性。使用AUV（或AUV组）将促进网络部署策略，最大化网络覆盖范围并启用高速网络；但是，由于部署稀疏，沟通较低，传播延迟和延迟变化，频率相关的衰减，强大的多path和多普勒效应以及长期到达UWSNS的声学信号的声音。拟议研究的目标是（1）研究UWSNS的延迟/耐受性网络架构； （2）设计和评估延迟/耐受耐受性链接和网络层协议； （3）利用合作通信和网络来提高网络功能； （4）应用压缩感应技术以进行更好的水下通道估计。对于这些研究目标，将对AUV和传感器移动性对算法设计和网络性能的影响进行仔细研究。除了新颖的算法和分析模型外，还将通过这项研究建立用于原型设计，实现和测试的硬件平台。拟议的研究将是高素质人员（HQP）培训的理想平台，学生将学习独立和创造性的研究，并获得宝贵的动手经验。这项研究将有助于巩固加拿大在水下通信和网络技术的最前沿的位置，并为加拿大未来的自然资源开发，环境监测和国家安全提供宝贵的通信网络支持。