USMART - smart dust for large scale underwater wireless sensing

USMART - 用于大规模水下无线传感的智能灰尘

• 批准号: EP/P017975/1
• 负责人: Jeffrey Neasham
• 金额: $ 163.66万
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP017975%2F1
• 关键词: USMART; smart; dust; large; scale

Wireless sensor networks using radio technology are used to gather data in many applications for infrastructure monitoring, environment monitoring and security. However this technology cannot be directly applied under water since radio waves are absorbed by water. Technologies exist for underwater communication using acoustic waves (sound) to carry data but this is a complex and demanding task requiring sophisticated processing. Hence these devices are expensive (£5-20k), bulky and power hungry which has generally limited their use to relatively small numbers and short duration. This has prevented the large scale deployment of sensor networks underwater despite huge demand for monitoring of subsea assets and the marine environment. The aim of this project is to create a smart underwater sensing framework based on ultra-low-cost underwater communication and sensing devices ('smart dust'). Pilot studies at Newcastle University have demonstrated the feasibility of producing underwater acoustic communication devices known as "nanomodems" which use novel approaches to signal processing to vastly reduce hardware complexity, size and cost. These have manufacturing cost as low as £50, very low receiver power consumption, to enable long life from small batteries, and tiny dimensions. However they can achieve data transfer and positioning capabilities found in much more expensive devices, over distances up to 1km through water. The communication technology will be extended, to further increase data transfer speed and power efficiency, and low cost sensor modules will be developed, along with flexible interfaces for commercially available sensors, to create mass deployable wireless underwater sensor devices. Protocols will be developed to allow large numbers of units to share the same communication channel efficiently while intelligent sensor processing techniques will ensure that the sensor network reliably extracts the maximum information available from the limited resources available. Hence the system will allow users to fully exploit the power of mass deployment, the whole being far greater than the sum of the parts. This will transform underwater sensor networks to allow long term monitoring with high spatial resolution, frequent updates and near real-time data delivery in a way that has been previously been cost prohibitive and impractical.With highly flexible sensor payload, the technology created may be applied to a wide range of monitoring tasks. However, the project will focus on three main demonstrator scenarios in close collaboration with industry & end users: - subsea asset monitoring e.g. condition of subsea cables, risers, seabed installations - marine environment / biodiversity monitoring - chemical or biological parameters - sensor nets for underwater security - detecting sound emitted or magnetic disturbances from underwater threatsThe novel contributions of this project will be: - Disruptive, low-cost technology enabling mass deployment with battery life of several years. - Large scale underwater monitoring (>100 devices) with high spatial resolution. - Rapid deployment and online data delivery (as opposed to data logging and collecting later). - Intelligent, adaptive sensing to maximise resource utilisation and fully exploit large scale.To maximise the impact of the project, an open test-bed will be created near the Northumberland coast. Potential end-users from across the subsea sector will be invited to take part in a series of workshops to identify new opportunities in distributed underwater sensing, which will be prototyped and evaluated via trials using the test-bed. The ultimate measurable objective of the project will be to demonstrate a step change in the efficiency of subsea data gathering. This will be defined in terms of the data delivered (volume, quality, coverage) versus overall cost of operations (hardware cost, boat time, staff time, infrastructure cost).

使用无线电技术的无线传感器网络用于在基础设施监测、环境监测和安全的许多应用中收集数据，但是该技术不能直接应用于水下，因为无线电波被水吸收。 ）来传输数据，但这是一项复杂而艰巨的任务，需要复杂的处理，因此这些设备价格昂贵（5-2万英镑），体积庞大且耗电，这通常限制了它们的使用数量相对较少且持续时间较短。尽管对监测的巨大需求，大规模部署水下传感器网络该项目的目的是创建一个基于超低成本水下通信和传感设备（“智能灰尘”）的智能水下传感框架。被称为“纳米调制解调器”的水下声学通信设备采用新颖的信号处理方法，大大降低了硬件复杂性、尺寸和成本，其制造成本低至 50 英镑，接收器功耗极低，可通过小型电池实现长寿命。然而它们可以实现数据传输。更昂贵的设备中的定位功能，通过水的距离可达 1 公里。通信技术将得到扩展，以进一步提高数据传输速度和功率效率，并且将开发低成本传感器模块以及用于商业的灵活接口。传感器可用，以创建大规模可部署的水下传感器设备，将开发协议以允许大量单元有效地共享相同的通信通道，而智能传感器处理技术将确保传感器网络从有限的可用资源中可靠地提取可用的最大信息。因此系统将允许。用户可以充分利用大规模部署的力量，整体远远大于各个部分的总和，这将改变水下传感器网络，以某种方式实现高空间分辨率、频繁更新和近实时数据传输的长期监控。以前的成本过高且不切实际。凭借高度灵活的传感器有效负载，所创建的技术可应用于广泛的监控任务，但是，该项目将与行业和最终用户密切合作，重点关注三个主要演示场景： - 海底资产监控，例如海底电缆、立管、海底装置 - 海洋环境/生物多样性监测 - 化学或生物参数 - 用于水下安全的传感器网络 - 检测水下威胁发出的声音或磁干扰 该项目的新颖贡献将是： - 颠覆性、低成本技术大规模部署，电池寿命长达数年 - 具有高空间分辨率的大规模水下监测（> 100 个设备） - 快速部署和在线数据传输（而不是稍后的数据记录和收集） - 智能、自适应传感以最大化。资源利用和充分开发大规模。为了最大限度地发挥该项目的影响，将在诺森伯兰海岸附近创建一个开放的试验台，来自海底部门的潜在最终用户将被邀请参加一系列研讨会。确定分布式水下传感的新机会，该项目将通过试验台进行原型设计和评估。该项目的最终可衡量目标将是展示海底数据收集效率的阶跃变化。数据的交付（数量、质量、覆盖范围）与总体运营成本（硬件成本、船舶时间、员工时间、基础设施成本）。

项目成果

Multi-User Broadcast Acoustic Positioning System

多用户广播声学定位系统

• DOI: http://dx.10.1109/oceanse.2019.8867551
• 发表时间: 2019
• 作者: Chawla A

CFDAMA-SRR: A MAC Protocol for Underwater Acoustic Sensor Networks

CFDAMA-SRR：水声传感器网络的 MAC 协议

• DOI: 10.1109/access.2019.2915929
• 发表时间: 2019-05-09
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: W. Gorma;P. Mitchell;N. Morozs;Y. Zakharov
• 通讯作者: Y. Zakharov

Phorcys Waveform Architecture

Phocys 波形架构

• DOI: http://dx.10.1109/ucomms56954.2022.9905673
• 发表时间: 2022
• 作者: Davies J

Packet Flow Based Reinforcement Learning MAC Protocol for Underwater Acoustic Sensor Networks

用于水声传感器网络的基于数据包流的强化学习 MAC 协议

• DOI: http://dx.10.3390/s21072284
• 发表时间: 2021
• 期刊: Sensors
• 影响因子: 3.9
• 作者: Alhassan I

An Adaptive TDMA-based MAC Protocol for Underwater Acoustic Sensor Networks

水声传感器网络中基于 TDMA 的自适应 MAC 协议

• DOI: http://dx.10.1145/3366486.3366549
• 发表时间: 2019
• 作者: Gorma W