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

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:
1232257
负责人:
Pramod Viswanath
金额:
$21.0万
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
项目状态:
已结题
起止时间:
2012-09-15 至 2015-08-31

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中文摘要
翻译
目标:该项目的目标是开发一套全面的通信工具,用于设计和实现建筑物基础设施中非常密集的传感器网络。智能优势:智能优势是为设计轻量级通信协议奠定基础,以便从具有规则和事件驱动流量模式的异类传感器网络中稳健地收集数据。在我们的研究中,我们将从通信理论、传感器设计方法、分布式算法和工程实现指南等方面综合运用各种技术。最终结果将是设计准则、分布式算法和在Y2E2大楼(在斯坦福)和即将到来的新的欧洲经委会零能耗大楼(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,该平台将支持节能建筑,并有助于有效的交通监控和基础设施结构健康的实时监控。
英文摘要
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.
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