Enable Underwater Structure Monitoring Through Acoustic Sensor Networking

通过声学传感器网络实现水下结构监测

• 批准号: 486202-2015
• 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: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585460
• 关键词: Enable; Underwater; Structure; Monitoring; Through

Underwater Wireless Sensor Networks (UWSNs) have received much attention in recent years due to the wide range of their potential applications, such as environmental and offshore structural monitoring, natural resources development, and geological oceanography. While much research effort has been devoted to the improvement of acoustic signal reception and processing, few studies focus on efficient data transfer, novel medium access control, and energy conservation among sensor nodes in subsea structural health monitoring (SHM) applications. The objective of the proposed research is to develop innovative algorithms that will lead to an energy-efficient underwater sensor networking platform for offshore structural health monitoring applications. The theoretical aspects of the work will focus on modeling, simulation and testing of algorithms for UWSNs in offshore structural health monitoring applications. The experimental thrust will focus on implementation and verifying of outcomes from the theoretical work. Details of the proposed research include: 1) Underwater acoustic channel characteristics modeling; 2) Underwater acoustic network simulation; 3) Energy-efficient routing metric determination; 4) Hybrid architecture design of sensor nodes; and 5) Field testing underwater. The direct benefits from the technology perspective include network algorithms, innovative cooperative networking schemes, and new performance models to enable highly efficient acoustic sensor networking in hash underwater environments. The applications of the proposed research for offshore assets monitoring will bring in a significant growth point for the industrial partner Waterford Energy Services Inc. (WESI). The proposed project will help to reinforce Canada's leadership position and competitive advantage within the global telecommunications industry and offshore oil and gas industry.

水下无线传感器网络（UWSN）近年来由于广泛而受到了很多关注 其潜在应用的范围，例如环境和近海结构监测，自然 资源开发和地质海洋学。虽然许多研究工作已致力于 声音信号接收和处理的改善，很少有研究专注于有效的数据传输，新型 海底结构健康监测中的中等访问控制和传感器节点之间的节能 （SHM）申请。 拟议的研究的目的是开发创新算法，这将导致节能 水下传感器网络平台，用于离岸结构健康监测应用程序。理论 工作的各个方面将着重于近海UWSN算法的建模，模拟和测试 结构性健康监测应用。实验推力将集中于实施和验证 理论工作的结果。拟议研究的详细信息包括：1）水下声学 信道特性建模； 2）水下声学网络模拟； 3）节能路由 公制确定； 4）传感器节点的混合体系结构设计； 5）水下现场测试。 从技术角度来看的直接好处包括网络算法，创新合作社 网络方案和新的性能模型，以实现高效的声学传感器网络 哈希水下环境。拟议的研究对离岸资产监控的应用将 为工业合作伙伴沃特福德能源服务公司（WESI）带来了一个重要的增长点。这 拟议的项目将有助于增强加拿大的领导地位和竞争优势 全球电信行业和海上石油和天然气行业。