Collaborative Research: Snowflake: Lightweight and Adaptive Communications for Dense Sensor Networks

合作研究：Snowflake：密集传感器网络的轻量级自适应通信

• 批准号: 1232324
• 负责人: Ram Rajagopal
• 金额: $ 17万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232324&HistoricalAwards=false
• 关键词: Collaborative; Research; Snowflake; Lightweight; Adaptive

Objective: The objective of this program is to develop a comprehensive set of communication tools for the design and implementation of a very dense sensor network within a building infrastructure.Intellectual merit: The intellectual merit is to lay the foundations for the design of lightweight communication protocols to robustly collect data from a heterogeneous sensor network with both regular and event-driven traffic patterns. We will use diverse techniques from communication theory, sensor design methodologies, distributed algorithms and engineering implementation guidelines in our study. The end result will be design guidelines, distributed algorithms and a practical implementation in the context of the Y2E2 building (at Stanford) and the upcoming new zero-energy ECE building (at UIUC). Broader impacts: The broader impact is via the development and distribution of a prototype sensor network platform that will enable energy efficient building and also be useful in effective traffic monitoring and real-time monitoring of structural health for infrastructures.

目的：该计划的目的是开发一套全面的通信工具，用于在建筑基础架构内设计和实施非常密集的传感器网络。IntlectualFure：知识分子的优点是为设计轻量级通信协议的设计奠定基础从具有常规和事件驱动的流量模式的异质传感器网络中稳健收集数据。我们将在我们的研究中使用交流理论，传感器设计方法，分布式算法和工程实施指南中的各种技术。最终结果将是设计准则，分布式算法和在Y2E2建筑物（在斯坦福大学）和即将推出的新的零能源ECE建筑（在UIUC上）的实践实施。更广泛的影响：更广泛的影响是通过开发和分配原型传感器网络平台的开发和分配，该平台将实现节能建设，并且在有效的交通监控和实时监控基础设施的结构健康状况方面也很有用。