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: 0626740
• 负责人: Dipankar Raychaudhuri
• 金额: $ 45万
• 依托单位: Rutgers University New Brunswick
• 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 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0626740&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：0626740 PI：Dipankar Raychaudhuri机构：罗格斯大学（与堪萨斯U和CMU合作）提案编号：0626676 PI：Joe Evans机构：堪萨斯大学（与堪萨斯大学和CMU合作）提案编号：0626827 PI：Srini Seshan机构：CMU标题：协作NetTS-FIND：CogNet认知无线电网络的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：第一个是在本地网络和全球互联网络级别上识别用于认知无线电网络的广泛架构和协议设计方法。 这种架构研究的目的是导致在本地网络中的认知无线电节点之间的控制/管理和数据接口的设计，以及认知无线电子网和全球互联网之间。 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有效和完整的解决方案时，我们研究了许多架构问题，这些问题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，该项目的实验部分旨在开发一个基于Linux的开放源代码CogNet软件协议栈，用于新兴的认知无线电平台（如GNU/USRP 2无线电用作基线，KU敏捷无线电或朗讯/WINLAB网络中心原型），并使该软件可用于社区研究。 原型软件的验证分为两个步骤：首先在无线局域网无线电网络的情况下，适度数量的认知无线电节点，后来作为几个端到端的实验的一部分，使用广域网测试平台，如PlanetLab（和GENI在未来）。