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.

目标：该项目的目标是开发一套全面的通信工具，用于在建筑基础设施中设计和实施非常密集的传感器网络。智力优势：智力优势是为设计轻量级通信协议奠定基础，以便从具有常规和事件驱动的流量模式的异构传感器网络中健壮地收集数据。在我们的研究中，我们将使用多种技术，包括通信理论、传感器设计方法、分布式算法和工程实施指南。最终的结果将是设计指南、分布式算法和在Y2E2建筑（斯坦福大学）和即将到来的新的零能耗ECE建筑（UIUC）背景下的实际实施。更广泛的影响：更广泛的影响是通过原型传感器网络平台的开发和分发，该平台将实现节能建筑，也可用于有效的交通监控和基础设施结构健康的实时监控。