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NETS-NOSS: Link Quality Estimation for Wireless Sensor Networks

NETS-NOSS: Link Quality Estimation for Wireless Sensor Networks
NETS-NOSS:无线传感器网络的链路质量估计
批准号:
0626709
负责人:
Wang-Chien Lee
金额:
$25.11万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-15 至 2010-12-31

项目摘要

项目成果

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中文摘要
翻译
提案编号:0626709PI:Wang-Chien Lee WLEE@cse.psu.edu研究所:宾夕法尼亚州立大学,大学园区标题:Nets-NOSS:无线传感器网络的链路质量评估摘要本项目解决了无线传感器网络中无线模式不规则和链路质量不可靠导致的网络性能恶化的问题。其目的是研究在无线传感器网络中估计、提供和使用链路质量信息方面的研究挑战。该项目通过以下途径实现其目标:(1)开发基于回归模型的新的链路质量估计算法和技术;(2)设计新的链路质量服务以支持上层路由协议和网络服务;(3)开发新的路由协议,将链路质量因素纳入其设计;(4)基于Berkeley的传感器网络体系结构构建链路质量估计器、链路质量服务和路由协议的原型;(5)开发分析性能模型、实现仿真器,并进行实证实验,以验证研究思路和结果的可行性和性能。其结果是一套完整的创新协议、算法和技术,用于估计和使用无线传感器网络中的链路质量信息。这项研究将从根本上改变无线传感器网络中的路由协议和网络服务的设计,并将在计算机科学、地球科学、栖息地和野生动物监测、军事和救援行动等各个研究领域、科学研究和应用中产生广泛的影响。该项目支持博士生在无线传感器网络、系统、分布式算法和时空数据管理领域进行研究。将在课程中引入一门新的研究生课程,涵盖这些领域,并综合项目的研究成果。这项研究的出版物、技术报告、软件和实验数据将通过项目网站(http://www.cse.psu.edu/pda/LQE).)传播
英文摘要
Proposal Number: 0626709PI: Wang-Chien Lee wlee@cse.psu.eduInstitution: Pennsylvania State University, University ParkTitle: NeTS-NOSS: Link Quality Estimation for Wireless Sensor NetworksAbstractThis project addresses issues of deteriorated network performance caused by irregular radio patterns and unreliable link quality in wireless sensor networks. The goal is to study research challenges in estimating, providing and using link quality information in wireless sensor networks. The project achieves its goal via the following approaches: (1) develop new algorithms and techniques based on regression models for link quality estimation; (2) design a new link quality service to support upper-layer routing protocols and network services; (3) develop new routing protocols that incorporate the factor of link quality in their designs; (4) prototype the link quality estimator, link quality service, and routing protocols based on Berkeley's Sensor Network Architecture; (5) develop analytical performance models, implement simulators, and conduct empirical experiments to validate the feasibility and performance of research ideas and results. The result is a holistic suite of innovative protocols, algorithms and techniques for estimation and use of link quality information in wireless sensor networks. This research will fundamentally change the design of routing protocols and network services in wireless sensor networks and will have broad impact in various research fields, scientific studies, and applications, including computer science, earth science, habitat and wildlife monitoring, military and rescue operations, and so on. This project supports Ph.D students to pursue research in the areas of wireless sensor networks, systems, distributed algorithms, and spatio-temporal data management. A new graduate-level course covering these areas and integrating research results from the project will be introduced in the curriculum. Publications, technical reports, software and experimental data from this research will be disseminated via the project web site (http://www.cse.psu.edu/pda/LQE).
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III: Small: Learning Latent Representations of Heterogeneous Information Networks
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Location-based Information Access in Pervasive Computing Environments
国内基金
海外基金
乌拉尔甘草中NO合酶(NOSs)小分子抑制剂的发现
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  • 依托单位:
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