Collaborative Research: NeTS-FIND: CogNet - An Experimental Protocol Stack for Cognitive Radio Networks and Its Integration with the Future Internet

合作研究：NeTS-FIND：CogNet - 认知无线电网络及其与未来互联网集成的实验协议栈

• 批准号: 0626676
• 负责人: Joseph Evans
• 金额: $ 30万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0626676&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; FIND; CogNet

Proposal Number: 0626740PI: Dipankar RaychaudhuriInstitution: Rutgers University (collaborative with Kansas U and CMU)Proposal Number: 0626676PI: Joe EvansInstitution: Kansas University (collaborative with Kansas U and CMU)Proposal Number: 0626827PI: Srini Seshan Institution: CMUTitle: Collaborative NeTS-FIND: CogNet An Experimental Protocol Stack for Cognitive Radio Networks and Its Integration with the Future InternetProject AbstractThis project has two major thrusts: the first is to identify broad architecture and protocol design approaches for cognitive radio networks at both local network and the global internetwork level. This architectural study is intended to lead to the design of control/management and data interfaces between cognitive radio nodes in a local network, and also between cognitive radio subnetworks and the global Internet. The second thrust is to apply these architectural and protocol design results to prototype an open-source cognitive radio protocol (the CogNet stack) and use it for experimental evaluations on emerging cognitive radio platforms. A number of architectural issues are examined as we try to identify an efficient and complete solution these include control and management protocols, support for collaborative PHY, dynamic spectrum coordination, flexible MAC layer protocols, ad hoc group formation and cross-layer adaptation.The experimental component of this project aims to prototype an open-source Linux-based CogNet software protocol stack for use with emerging cognitive radio platforms (such as the GNU/USRP2 radio to be used as the baseline, the KU agile radio or the Lucent/WINLAB network-centric prototype), and make this software available for community research. The prototype software is validated in two steps: first in a wireless local-area radio network scenario with moderate numbers of cognitive radio nodes, and later as part of several end-to-end experiments using a wide-area network testbed such as PlanetLab (and GENI in the future).

提案编号：0626740PI：Dipankar Raychaudhuri 院校：罗格斯大学（与堪萨斯大学和 CMU 合作）提案编号：0626676PI：Joe Evans 院校：堪萨斯大学（与堪萨斯大学和 CMU 合作）提案编号：0626827PI：Srini Seshan 院校：CMUT 标题：协作NeTS-FIND：CogNet 认知无线电网络实验协议栈及其与未来互联网的集成项目摘要该项目有两个主要目标：第一个是确定本地网络和全球互联网认知无线电网络的广泛架构和协议设计方法等级。 该架构研究旨在引导本地网络中认知无线电节点之间以及认知无线电子网与全球互联网之间的控制/管理和数据接口的设计。 第二个重点是将这些架构和协议设计结果应用于开源认知无线电协议（CogNet 堆栈）的原型，并将其用于新兴认知无线电平台的实验评估。当我们试图确定一个高效且完整的解决方案时，我们检查了许多架构问题，其中包括控制和管理协议、对协作 PHY 的支持、动态频谱协调、灵活的 MAC 层协议、自组织组形成和跨层适配。该项目的组成部分旨在构建基于 Linux 的开源 CogNet 软件协议栈原型，用于新兴认知无线电平台（例如用作基线的 GNU/USRP2 无线电、KU 敏捷无线电或 Lucent/WINLAB 网络）以-为中心的原型），并制作该软件可用于社区研究。 原型软件分两步进行验证：首先在具有中等数量认知无线电节点的无线局域网场景中进行验证，然后作为使用广域网测试台（例如 PlanetLab）的多个端到端实验的一部分（以及未来的 GENI）。