CAREER: Fundamental Performance Limits of Large-Scale Wireless Sensor Networks

职业：大规模无线传感器网络的基本性能限制

• 批准号: 0238271
• 负责人: Terrence Fine
• 金额: --
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0238271&HistoricalAwards=false
• 关键词: CAREER; Fundamental; Performance; Limits; Large

In recent times much has been said about how, once deployed, networksof devices with wireless communication capabilities will affect the waywe work, learn, interact, organize, get entertained, fight wars, andrecover from disasters. This interest in wireless networks has led toa fair amount of research activity in the areas of mobile and ad-hocnetworking, addressing both systems and theory issues. However, notmuch research work has been done on fundamental information theoreticconcepts related to wireless *sensor* networks, i.e., networks of tiny,low power, unreliable devices equipped with very limited sensing andcommunication capabilities, and embedded in the environment. Thisproject is primarily about the study of fundamental performance limitsfor large-scale wireless sensor networks. Specifically, there arethree problems, deeply intertwined with each other, and very relevantin practice, on which we concentrate our efforts: - Source Coding problems, dealing with the design and performanceanalysis of codes and signal processing algorithms for the random fieldsgenerated by sensor nodes. - Routing problems, dealing with design and performance analysis ofprotocols and signal processing algorithms for moving sensor data *within*the network. - Reachback Communication problems, dealing with the design andperformance analysis of codes and signal processing algorithms for movingsensor data *out* of the network.The solution to problems of source coding, routing, and reachbackcommunication in sensor networks requires a "marriage" of networkingand communication theoretic concepts. This presents an interestingopportunity for innovation in education, since networking is typicallyregarded as a "pure CS" topic, whereas communication theory is typicallyregarded as a "pure EE" topic. All of my educational and outreachactivities (undergraduate and graduate course development, lab development,undergraduate textbook development, service to community) are designedaround the general goal of providing a solid theoretical basis to ourstudents in networking and communications, as well as the more specificgoal of highlighting the interplay between these concepts in the contextof wireless sensor networks.

最近，很多人都在谈论，一旦部署，具有无线通信功能的设备网络将如何影响我们的工作，学习，互动，组织，娱乐，作战和灾难恢复的方式。 这种对无线网络的兴趣导致了在移动的和广告网络领域的大量研究活动，解决了系统和理论问题。 然而，没有太多的研究工作已经做了基本的信息理论概念有关的无线传感器网络，即，微型、低功耗、不可靠的设备网络，配备非常有限的传感和通信能力，并嵌入环境中。 这个项目主要是关于大规模无线传感器网络的基本性能限制的研究。 具体来说，有三个问题，彼此深深交织在一起，非常相关的实践，我们集中精力：-源编码问题，处理的设计和性能分析的代码和信号处理算法的随机fieldsgenerated传感器节点。 - 路由问题，处理网络内移动传感器数据的协议和信号处理算法的设计和性能分析。 - 回传通信问题，涉及将传感器数据从网络中移出的编码和信号处理算法的设计和性能分析。传感器网络中信源编码、路由和回传通信问题的解决方案需要网络和通信理论概念的“联姻”。 这为教育创新提供了一个有趣的机会，因为网络通常被认为是“纯CS”主题，而通信理论通常被认为是“纯EE”主题。 我所有的教育和拓展活动（本科和研究生课程开发、实验室开发、本科教科书开发、社区服务）都是围绕为我们的学生提供网络和通信方面坚实的理论基础的总体目标以及更具体的目标而设计的。强调无线传感器网络背景下这些概念之间的相互作用。