NETS-NOSS: Link Quality Estimation for Wireless Sensor Networks

提案编号：0626709PI: Wang-Chien Lee wlee@cse.psu.eduInstitution: Pennsylvania State University， University park标题：NeTS-NOSS：无线传感器网络的链路质量估计摘要本项目旨在解决无线传感器网络中由于无线电模式不规则和链路质量不可靠导致的网络性能下降问题。目标是研究无线传感器网络中估计、提供和使用链路质量信息的研究挑战。该项目通过以下途径实现其目标：(1)开发基于回归模型的链路质量估计新算法和技术；(2)设计新的链路质量服务，支持上层路由协议和网络业务；(3)开发新的路由协议，在其设计中纳入链路质量因素；(4)基于伯克利传感器网络体系结构的链路质量估计器、链路质量服务和路由协议原型；(5)建立分析性能模型，实施模拟器，并进行实证实验，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。本研究将从根本上改变无线传感器网络中路由协议和网络服务的设计，并将在各个研究领域、科学研究和应用领域产生广泛影响，包括计算机科学、地球科学、栖息地和野生动物监测、军事和救援行动等。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等领域进行研究。新的研究生课程将涵盖这些领域，并整合项目的研究成果。本研究的出版物、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）发布。

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).