Enable Underwater Structure Monitoring Through Acoustic Sensor Networking

水下无线传感器网络（Underwater Wireless Sensor Networks，UWSNs）由于其广泛的应用前景，近年来受到了广泛的关注 其潜在的应用范围，如环境和海上结构监测，自然 资源开发和地质海洋学。虽然许多研究工作都致力于 声学信号接收和处理的改进，很少有研究集中在有效的数据传输，新颖的 海底结构健康监测中传感器节点间的介质访问控制和能量保存 (SHM)应用. 所提出的研究的目标是开发创新的算法，这将导致一个节能 用于近海结构健康监测应用的水下传感器网络平台。理论 工作的各个方面将集中在近海水下无线传感器网络算法的建模、仿真和测试上 结构健康监测应用。实验的重点将放在实施和验证上 理论工作的成果。建议的研究内容包括：1）水下声学 信道特性建模; 2）水声网络仿真; 3）节能路由 度量确定; 4）传感器节点的混合架构设计;以及5）水下现场测试。 从技术的角度来看，直接的好处包括网络算法，创新的合作 网络方案和新的性能模型，以实现高效的声学传感器网络， 破坏水下环境拟议研究在离岸资产监测方面的应用将 为工业合作伙伴沃特福德能源服务公司带来显著的增长点。（WESI）。的 拟议的项目将有助于加强加拿大的领导地位和竞争优势， 全球电信业和海上石油和天然气业。

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.