CRI: A Community Resource for Archiving Wireless Data At Dartmouth: CRAWDAD

摘要提案：CNS 0454062 PI：大卫F. Kotz机构：达特茅斯学院课程：NSF 04-588 CISE计算研究结构标题：CRI：达特茅斯无线数据的社区资源：达特茅斯学院的CRAWDAD研究人员将开发一个无线网络数据的档案和相关的收集和处理数据的工具，作为参与无线网络研究和教育的社区资源。目前大多数研究是基于分析或仿真模型，由于无线电传播在真实的世界的复杂性和缺乏了解的行为，真实的无线应用和用户，这些模型是严重的限制。另一方面，收集无线网络活动的详细痕迹所涉及的困难的后勤挑战使大多数人无法使用实验数据。研究人员将建立在从无线网络收集数据的经验基础上，这些数据已被发布给研究界。该项目将建立一个共享设施，用于存储从真实的无线网络收集的大型数据集，开发用于收集、匿名和分析这些数据的通用格式和工具，接待希望使用档案或合作开发工具的来访学生，与社区领导人合作，鼓励对档案的贡献和使用，与其他社区努力协调，开发网络跟踪格式和工具，该项目将通过促进数据资源用户的研究，为教育工作者提供数据和分析软件，以及让妇女和少数民族参与该项目，在无线网络界产生广泛的学术和实际影响。

AbstractProposal: CNS 0454062PI: David F. KotzInstitution: Dartmouth CollegeProgram: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: A Community Resource for Archiving Wireless Data At Dartmouth: CRAWDAD Investigators at Dartmouth College will develop an archive of wireless network data and associated tools for collecting and processing the data, as a community resource for those involved in wireless network research and education. Most current research is based on analytical or simulation models; due to the complexity of radio propagation in the real world and a lack of understanding about the behavior of real wireless applications and users, these models are severely limited. On the other hand, the difficult logistical challenges involved in collecting detailed traces of wireless network activity preclude most people from working with experimental data. The investigators will build on experience collecting data from wireless networks that has bee released to the research community. The project will construct a shared facility for storing large data sets collected from real wireless networks, develop common formats and tools for collecting, anonymizing, and analyzing this data, host visiting students who want to use the archive or collaborate on tool development, work with community leaders to encourage contribution to and use of the archive, coordinate with other community efforts to develop network trace formats and tools, and encourage educators to use the tools and data in course projects, and to share course modules.This project will have broad academic and practical impact in the wireless network community through enabling research by users of the data resources, providing data and analysis software for educators, and involving women and minorities in the project.