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

目的： 该计划的目标是开发一套全面的通信工具，用于在建筑基础设施内设计和实施非常密集的传感器网络。 智能的优点是奠定了基础的轻量级通信协议的设计，鲁棒地收集数据从异构传感器网络与定期和事件驱动的交通模式。我们将在研究中使用来自通信理论、传感器设计方法、分布式算法和工程实现指南的各种技术。最终的结果将是设计指南，分布式算法和Y2E2建筑（在斯坦福大学）和即将到来的新的零能源ECE建筑（在UIUC）的背景下的实际实施。更广泛的影响： 更广泛的影响是通过开发和分发原型传感器网络平台，该平台将实现节能建筑，并可用于有效的交通监控和基础设施结构健康的实时监控。

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.