NR: Collaborative Research: Scheduling for Efficient and Reliable Data Broadcast

NR：协作研究：高效可靠的数据广播调度

• 批准号: 0549202
• 负责人: Lihao Xu
• 金额: $ 11.85万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-29 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0549202&HistoricalAwards=false
• 关键词: NR; Collaborative; Research; Scheduling; Efficient

The goal of this research is to develop fundamental theory and algorithms for efficient and reliable data broadcast scheduling. Broadcast is an effective and efficient means for information dissemination over many networks. It is becoming more and more important with the increasing deployment of wireless local and wide area networks. Scheduling of data items is crucial in maximizing the efficiency of broadcast. This research will address a few fundamental and important issues that have not been well studied, i.e. broadcast schedules that can combat channel errors effectively, theory and schedule design for scheduling over multiple channels, and, scheduling for streaming data. This project presents an integration of theory and techniques of error correcting codes to the broadcast scheduling problem, which no previous works on this topic have applied. This research will exploit, and contribute towards, theoretical studies in information and coding theory, probability analysis and combinatorics.

本研究的目标是开发高效可靠的数据广播调度的基础理论和算法。广播是通过许多网络传播信息的有效且高效的手段。随着无线局域网和广域网部署的不断增加，它变得越来越重要。数据项的调度对于最大化广播效率至关重要。这项研究将解决一些尚未得到充分研究的基本和重要问题，即可以有效对抗信道错误的广播调度、多信道调度的理论和调度设计以及流数据的调度。该项目将纠错码的理论和技术集成到广播调度问题中，此前该主题的工作尚未应用。这项研究将利用信息和编码理论、概率分析和组合学的理论研究，并为之做出贡献。