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: 0626827
• 负责人: Srinivasan Seshan
• 金额: --
• 依托单位: Carnegie-Mellon University
• 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=0626827&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).

建议编号：0626740PI：Dipankar Raychaudhuriinstitution：Rutgers University（与堪萨斯州U和CMU的合作）提案编号：06266676PI：Joe Evansinstitution：Joe Evansinstitution：Kansas University：Kansas University：与Kansas U和CMU和CMU和CMU编号合作：06262626262626262626827PI：CMU和CMU协作网络信息：Cognet认知无线网络的实验协议堆栈及其与未来的Internet项目Abstrack的集成，该项目具有两个主要的推力：首先是在本地网络和全球Internet Works级别上确定广泛的体系结构和协议设计方法。 这项建筑研究旨在导致控制/管理和当地网络认知无线电节点之间以及认知无线电子网和全球互联网之间的数据接口的设计。 第二个力量是将这些架构和协议设计结果应用于原型开源认知无线电协议（Cognet堆栈），并将其用于对新兴认知无线电平台进行实验评估。当我们试图确定有效且完整的解决方案时，检查了许多架构问题，包括控制和管理协议，协作PHY的支持，动态频谱协调，灵活的MAC层协议，临时组形成和跨层适应性以及该项目的实验组件。该项目的实验组件旨在与开放式Linux Linux Poadions sonspect Sockats Spots songectss Spot（诸如开放式台阶），以供开放式配置构造（以供开放态度）堆放（以供您使用，以供开放式cognet stock stock and Imerering（以启用编号）（ GNU/USRP2广播电台将用作基线，KU敏捷无线电或Lucent/Winlab网络以中心的原型），并使该软件可用于社区研究。 原型软件通过两个步骤进行验证：首先在无线本地地区无线电网络方案中具有适度的认知无线电节点，后来是使用宽面积网络测试的几个端到端实验的一部分，例如PlaneTlab（将来的GENI）。