ITR: Collaborative Research: Spatiotemporal Protocols and Analyses for Wireless Sensor Networks

提案：CCR-0325529 (Lead)PI: Lu， Chenyang机构：Washington University - St. louis提案：CCR-0325197 PI: Stankovic， John机构：University of Virginia标题：ITR：合作研究：无线传感器网络的时空协议和分析大规模无线传感器网络可以通过广泛的应用改变人类与物理环境的交互方式，包括公路交通协调和安全监控。未来基于传感器的应用将不得不在严重的资源限制下满足新的时空规范。我们的基本假设是，通信协议及其分析必须在一个统一的框架中包含空间、时间和移动性的概念，这是早期研究没有直接解决的问题。这个项目是华盛顿大学和弗吉尼亚大学的合作项目。该项目的首要目标是为无线传感器网络建立一个时空通信框架，集成实时系统和移动计算研究。该项目开发了一种新的通信协议栈，通过在调度和路由算法中结合时间和空间属性来优化传感器网络，从而为移动环境中传感器网络服务的时空规范提供分析保证。我们的协议栈在传感器网络中间件中找到实例化，这种中间件很容易被广泛的应用程序重用。开发严格的时空分析，利用实时可调度利用边界、网络几何和分散反馈控制的理论，形成了这个项目的关键要素。最终结果将是一种设计可靠传感器网络的方法，能够支持关键任务应用，其中性能可预测性是最重要的问题。该团队还致力于将前沿研究与教学和推广项目相结合，充分利用华盛顿大学和弗吉尼亚大学现有的强大项目。与圣路易斯科学中心的特殊关系将通过放置在信息技术展区的展品进一步扩大我们对学生和公众的推广工作。

Proposal: CCR-0325529 (Lead)PI: Lu, Chenyang Institution: Washington University - St. LouisProposal: CCR-0325197 PI: Stankovic, John Institution: University of Virginia Title: ITR: Collaborative Research: Spatiotemporal Protocols and Analyses for Wireless Sensor NetworksLarge-scale wireless sensor networks can change the way humans interact with physical environments through a broad range of applications including highway traffic coordination and security surveillance. Future sensor-based applications will have to meet new kinds of spatiotemporal specifications under severe resource limitations. Our fundamental hypothesis is that communication protocols and their analysis must incorporate the notions of space, time, and mobility in a unified framework, something not addressed directly by earlier research. This project, a collaboration between Washington University and the University of Virginia. An overarching goal of the project is to establish a spatiotemporal communication framework for wireless sensor networks the integration of real-time systems and mobile computing research. The project develops a new communication protocol stack optimized for sensor networks by incorporating timing and space properties in scheduling and routing algorithms, thereby enabling analytic guarantees for the spatiotemporal specifications of sensor network services in mobile environments. Our protocol stack finds instantiation in a sensor network middleware that is readily reusable by a broad range of applications. Developing a rigorous spatiotemporal analysis that draws upon theories on real-time schedulable utilization bound, network geometry, and decentralized feedback control forms a key element of this project. The end results will be a methodology for designing dependable sensor networks able to support mission critical applications in which performance predictability is a paramount concern. The team is also committed to integrating cutting-edge research with teaching and outreach programs, leveraging off strong existing programs at Washington University and the University of Virginia. A special relation with the St. Louis Science Center will further expand our outreach efforts to students and the public at larger through exhibits placed in the information technology exhibit area. .