NeTS-NOSS: Towards Dynamically Reconfigurable Multimodal Sensing Systems

NeTS-NOSS：迈向动态可重构多模态传感系统

• 批准号: 0722063
• 负责人: Wu-chi Feng
• 金额: $ 50万
• 依托单位: Portland State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0722063&HistoricalAwards=false
• 关键词: NeTS; NOSS; Towards; Dynamically; Reconfigurable

This project focuses on the investigation, development, and integration of multi-modal and mobilitybasedsensor networking technologies. In particular, future sensor networking technologies will include(i) multi-modal sensing that mixes complex data types such as audio, images or video and (ii) mobilitybasedsensing, where parts of the sensor network may be dynamic. The objectives of this proposalinclude the study of the following topics:Logical Association and Organization Framework: It has been observed that network connectivity via adhoc routing algorithms does not reflect the physical placement of sensors within the environment. Theinclusion of multi-modal sensing and mobility into sensor networking systems requires logicalorganization ability. This project will focus on develping a multi-layer organization and routingmechanism that supports logical associations, allowing for efficient organization of sensor networks inapplication meaningful ways.Mobility-based Localization, Organization, and Calibration: Besides actuation capability, mobility opensup new ways of effectively coordinating and organizing the sensor network. This subtask explores thedesign and implementation of algorithms that exploit user, coordinated and autonomous mobility forrobust, mobility-assisted calibration, logical association, and localization.This project will be performed in the context of a flexible and extensible sensor networking frameworkcalled Cascades. Cascades is a Python-based framework combining highly optimized applicationspecificcode segments, such as video processing or video compression, into a script-based architecturethat is readily deployable into a sensor network.

该项目侧重于多模态和基于移动性的传感器网络技术的研究、开发和集成。特别是，未来的传感器网络技术将包括(i)混合复杂数据类型（如音频、图像或视频）的多模态传感和（ii）基于移动性的传感，其中传感器网络的部分可能是动态的。该提案的目标包括以下主题的研究：逻辑关联和组织框架：据观察，通过自组织路由算法的网络连接并不反映传感器在环境中的物理位置。将多模态传感和移动性纳入传感器网络系统需要逻辑组织能力。该项目将侧重于开发支持逻辑关联的多层组织和路由机制，以有意义的方式有效组织传感器网络。基于移动性的定位、组织和校准：除了驱动能力，移动性开辟了有效协调和组织传感器网络的新途径。该子任务探讨了算法的设计和实现，这些算法利用用户、协调和自主的移动性来实现鲁棒性、移动性辅助校准、逻辑关联和定位。该项目将在一个名为Cascades的灵活且可扩展的传感器网络框架中执行。Cascades是一个基于python的框架，它将高度优化的应用特定代码段（如视频处理或视频压缩）结合到一个基于脚本的架构中，该架构可以很容易地部署到传感器网络中。