课题基金 / 基金详情

CSR---EHS: Multi-Frequency in Wireless Sensor Networks

CSR---EHS: Multi-Frequency in Wireless Sensor Networks
CSR---EHS:无线传感器网络中的多频
批准号:
0614773
负责人:
John Stankovic
金额:
$12.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2008-08-31

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中文摘要
翻译
无线传感器网络(WSN)是一项令人兴奋的新技术,可应用于环境监测、农业、医疗保健、智能建筑、工厂监控和自动化以及军事应用。无线传感器网络也可以被看作是底层的基础设施,这将是一个不可分割的未来无处不在和嵌入式计算应用。在5-10年内,(i)许多单独的WSN将非常复杂,并在高利用率水平下运行,(ii)将存在数千甚至数百万个传感器网络。当后一种情况成为现实时,可以预期无线传感器网络将重叠和共存,特别是在城市和其他人口稠密的地区。移动的网络将通过其他静态和移动的网络。本计画针对多频无线传感器网路系统,从沿着两个互补的方向,发展新的多频无线传感器网路协定:(1)在单一无线传感器网路中,同时达成广播与单播通讯的高效能;(2)处理杂讯与频谱拥挤的问题,例如随机传输装置或邻近的其他传感器网路所造成的问题。这项研究的智力目标是从根本上新的协议,必须开发有效地和动态地处理频率分配内和跨网络。如果成功,这项研究将为复杂的高工作负载传感器应用提供出色的吞吐量性能。无线传感器网络还将对诸如噪声和拥挤的频谱等条件具有鲁棒性。最终结果将提高无处不在的计算和嵌入式系统应用的整体性能,例如嵌入辅助生活设施中的无线传感器网络,改善患者的生活方式和健康。
英文摘要
A wireless sensor network (WSN) is an exciting new technology with application to environmental monitoring, agriculture, medical care, smart buildings, factory monitoring and automation, and military applications. A WSN can also be viewed as the underlying infrastructure that will be an integral to future ubiquitous and embedded computing applications. In 5-10 years, (i) many individual WSN will be very sophisticated and operating at high levels of utilization, and (ii) there will exist many thousands if not millions of sensor networks. When the latter situation materializes, WSNs can be expected to overlap and co-exist, especially in urban and other highly populated areas. Mobile networks will pass through other static and mobile networks. To deal with these scenarios will require efficient multi-frequency WSN systems.This project develops new suites of protocols for multi-frequency WSN along two complementary dimensions: (1) to achieve high performance for both broadcast and uni-cast communications within a single WSN, and (2) to handle noise and the crowded spectrum caused by any reason such as by random transmitting devices or by other nearby sensor networks. The intellectual objectives of this research are fundamentally new protocols that must be developed to efficiently and dynamically handle frequency assignment within and across networks. If successful, this research will yield excellent throughput performance for sophisticated, high workload sensor applications. The WSN will also be robust to conditions such as noise and a crowded spectrum. The end result would improve overall performance of ubiquitous computing and embedded systems applications, such as WSNs embedded in assisted living facilities, improving both the lifestyle and the health of patients.
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