CAREER: Automating Wireless Network Management: Lessons from Managing Wireless LANs and Sensor Networks

职业：自动化无线网络管理：管理无线局域网和传感器网络的经验教训

• 批准号: 0746841
• 负责人: Bing Wang
• 金额: $ 45万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-02-01 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0746841&HistoricalAwards=false
• 关键词: CAREER; Automating; Wireless; Network; Management

Wireless networks, by virtue of their untethered nature, ease of set-up, and mobility support, have been heartily welcomed into our daily work and lives. Crucial to the continuing success and even wider deployment of wireless networks is automatic management of these networks. The goal of this research is to investigate two fundamental questions of fault management in wireless networks: (1) What are suitable management architectures and what data/measurements need to be collected for effective management? (2) What are suitable techniques for fault management? To be focused, this research mainly investigates two ?extreme? forms of wireless networks -- wireless LANs (WLANs) and sensor networks. More specifically, it proposes a novel management architecture and develops a series of fault management techniques for WLANs. It also develops a suite of diagnostic tools for static and mobile sensor networks, respectively. The techniques for the various management tasks utilize statistical analysis, optimization, stochastic modeling, and machine learning techniques, and will be evaluated using a combination of analysis, simulation and experiments. Although necessarily focused on a subspace in the large realm of wireless network management, by synthesizing lessons learned from this subspace, this project aims to provide insights into wireless network management in general.The outcome of this project will greatly advance the state of the art in wireless network management, potentially impacting many aspects of our daily lives. The education plan includes developing one undergraduate lab course on WLANs, and one graduate-level course on wireless network measurement and inference.

无线网络凭借其不受约束的性质、易于设置和移动性支持，已经受到我们日常工作和生活的热烈欢迎。无线网络的持续成功和更广泛部署的关键是这些网络的自动管理。本研究的目标是调查在无线网络中的故障管理的两个基本问题：（1）什么是合适的管理架构和什么数据/测量需要收集有效的管理？(2)什么是合适的故障管理技术？为了突出重点，本研究主要探讨了两个问题。极端？无线网络的形式--无线局域网（WLAN）和传感器网络。更具体地说，它提出了一种新的管理体系结构，并开发了一系列的故障管理技术的无线局域网。它还分别为静态和移动的传感器网络开发了一套诊断工具。各种管理任务的技术利用统计分析，优化，随机建模和机器学习技术，并将使用分析，模拟和实验的组合进行评估。虽然必须集中在一个子空间在无线网络管理的大领域，通过综合从这个子空间的经验教训，这个项目的目的是提供洞察无线网络管理的一般。这个项目的成果将大大推进无线网络管理的最先进的状态，可能会影响我们日常生活的许多方面。该教育计划包括开发一个关于无线局域网的本科实验课程，以及一个关于无线网络测量和推理的研究生课程。