Collaborative Research: NeTS-FIND: CogNet - An Experimental Protocol Stack for Cognitive Radio Networks and Its Integration with the Future Internet
Collaborative Research: NeTS-FIND: CogNet - An Experimental Protocol Stack for Cognitive Radio Networks and Its Integration with the Future Internet
批准号:
0626827
负责人:
Srinivasan Seshan
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2006-09-15 至 2010-08-31
中文摘要
提案编号:0626740PI:Dipankar Raychaudhuri机构:罗格斯大学(与堪萨斯大学和CMU合作)提案编号:0626676PI:Joe EvansInstitution:堪萨斯大学(与堪萨斯大学和CMU合作)提案编号:0626827PI:SRINI Seshan Institution:CMU标题:Collaborative Nets-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层面确定认知无线电网络的广泛架构和协议设计方法。该体系结构研究旨在设计本地网络中认知无线电节点之间的控制/管理和数据接口,以及认知无线电子网和全球互联网之间的控制/管理和数据接口。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,并使用它在新兴的认知无线电平台上进行实验评估。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,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、特别组组建和跨层适配。该项目的实验组件旨在构建一个基于Linux的开源Cognet软件协议栈原型,用于新兴的认知无线电平台(例如用作基线的GNU/USRP2无线电、KU Agile无线电或Lucent/WINLAB网络中心原型),并使该软件可用于社区研究。原型软件的验证分两步进行:首先是在认知无线电节点数量适中的无线局域网场景中,然后作为几个端到端实验的一部分,使用PlanetLab(和未来的Geni)等广域网络试验台进行验证。
英文摘要
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).
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