CAREER: Routing in Cognitive Radio Networks Considering Activities of Primary Users
职业:考虑主要用户活动的认知无线电网络中的路由
基本信息
- 批准号:1252292
- 负责人:
- 金额:$ 37.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-08-01 至 2019-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Two types of users, Primary Users (PUs) and Secondary Users (SUs), share common spectrum bands in Cognitive Radio Networks (CRNs). SUs communicate through un-assigned spectrum bands without disrupting PUs. It is widely assumed that the activities of PUs follow some probabilistic models regardless of time, geography and social relationships. However, the time-and-geography-dependent social activity patterns of PUs can definitely be taken advantage of by SUs to obtain more spectrum opportunities and help with featuring the fundamental characteristics of CRNs in a more meaningful way. Unfortunately, this fact has been overlooked. This project conducts a comprehensive study on designing routing protocols/algorithms integrating technologies from social networks and traditional CRNs. New statistic learning models and community detection methods considering PUs' activity patterns are proposed. The fundamental properties of secondary networks under certain activity patterns and community patterns of PUs are investigated. Corresponding guidance for designing upper layer protocols for CRNs is provided. This project has a strong impact on both theoretical and practical aspects of CRNs as well as social networks. Considering the characteristics of PUs, new research challenges and significance of the corresponding problems are elaborated. The project integrates research and education with the intent of attracting undergraduate and graduate students to the area of CRNs. It also outreaches high school students. The outcomes will provide valuable resources for the CRN society and will be published in conferences, journals, and on the Internet.
在认知无线电网络(CRN)中,主用户(PU)和次用户(SU)两类用户共享公共频段。SU通过未分配的频段进行通信,而不会中断PU。人们普遍认为,PUS的活动遵循一定的概率模型,而不受时间、地理和社会关系的影响。然而,PU的依赖时间和地理的社会活动模式肯定可以被SU利用来获得更多的频谱机会,并帮助以更有意义的方式表征CRN的基本特征。不幸的是,这一事实被忽视了。本课题对融合社交网络和传统CRN技术的路由协议/算法的设计进行了全面的研究。提出了一种新的考虑PUS活动模式的统计学习模型和社区发现方法。研究了在一定的PU活动模式和社区模式下,次级网络的基本性质。为CRN上层协议的设计提供了相应的指导。该项目对社区关系网和社会网络的理论和实践方面都有很大的影响。针对PUS的特点,阐述了新的研究挑战和相应问题的意义。该项目将研究和教育结合起来,目的是吸引本科生和研究生进入CRN领域。它还超越了高中生。这些成果将为CRN协会提供宝贵的资源,并将在会议、期刊和互联网上发表。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Zhipeng Cai其他文献
Editorial, COCOON 2007 special issue
社论,COCOON 2007 特刊
- DOI:
10.1007/s10878-008-9167-8 - 发表时间:
2008 - 期刊:
- 影响因子:1
- 作者:
Guohui Lin;Zhipeng Cai - 通讯作者:
Zhipeng Cai
Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering
通过光束检测和样本集聚类进行线性相干双聚类发现
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Yi Shi;Maryam Hasan;Zhipeng Cai;Guohui Lin;Dale Schuurmans - 通讯作者:
Dale Schuurmans
Customized privacy preserving for inherent data and latent data
固有数据和潜在数据的定制隐私保护
- DOI:
10.1007/s00779-016-0972-2 - 发表时间:
2017-02 - 期刊:
- 影响因子:0
- 作者:
Zaobo He;Zhipeng Cai;Yunchuan Sun - 通讯作者:
Yunchuan Sun
On the Complexity of Extracting Subtree with Keeping Distinguishability
保持可区分性提取子树的复杂度研究
- DOI:
10.1007/978-3-319-48749-6_17 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Xianmin Liu;Zhipeng Cai;Dongjing Miao;Jianzhong Li - 通讯作者:
Jianzhong Li
Faster Parallel Core Maintenance Algorithms in Dynamic Graphs
- DOI:
no. 10.1109/TPDS.2019.2960226 - 发表时间:
- 期刊:
- 影响因子:
- 作者:
Qiang-Sheng Hua;Yuliang Shi;Dongxiao Yu;Hai Jin;Jiguo Yu;Zhipeng Cai;Xiuzheng Cheng;Hanhua Chen - 通讯作者:
Hanhua Chen
Zhipeng Cai的其他文献
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{{ truncateString('Zhipeng Cai', 18)}}的其他基金
Collaborative Research: SaTC: EDU: Fire and ICE: Raising Security Awareness through Experiential Learning Activities for Building Trustworthy Deep Learning-based Applications
协作研究:SaTC:EDU:火灾和 ICE:通过体验式学习活动提高安全意识,构建值得信赖的基于深度学习的应用程序
- 批准号:
2244219 - 财政年份:2023
- 资助金额:
$ 37.26万 - 项目类别:
Standard Grant
SaTC: EDU: Collaborative: Advancing Cybersecurity Learning Through Inquiry-based Laboratories on a Container-based Virtualization Platform
SaTC:EDU:协作:通过基于容器的虚拟化平台上的探究实验室推进网络安全学习
- 批准号:
1912753 - 财政年份:2019
- 资助金额:
$ 37.26万 - 项目类别:
Standard Grant
CyberTraining: CIP: Collaborative Research: Enhancing Mobile Security Education by Creating Eureka Experiences
网络培训:CIP:协作研究:通过创建 Eureka 体验加强移动安全教育
- 批准号:
1829674 - 财政年份:2018
- 资助金额:
$ 37.26万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: Privacy Attacks and Defense Mechanisms in Online Social Networks
SaTC:核心:媒介:协作:在线社交网络中的隐私攻击和防御机制
- 批准号:
1704287 - 财政年份:2017
- 资助金额:
$ 37.26万 - 项目类别:
Standard Grant
EAGER: One-off/Continuous Convergecast and Broadcast Scheduling in Probabilistic Wireless Mesh Networks
EAGER:概率无线网状网络中的一次性/连续融合广播和广播调度
- 批准号:
1152001 - 财政年份:2011
- 资助金额:
$ 37.26万 - 项目类别:
Standard Grant
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