EAGER: Supporting Social Applications in a Hybrid Architecture with CR-Enabled Devices
EAGER:通过支持 CR 的设备支持混合架构中的社交应用程序
基本信息
- 批准号:1265311
- 负责人:
- 金额:$ 29.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-04-01 至 2016-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this project is to investigate a number of challenging problems that play critical roles in enhancing the performance of social applications by taking advantage of the benefits brought by integrating cognitive radio networking (CRN) and mobile ad hoc networks (MANET). This research is motivated by the observations of (i) the lack of successful and practical applications of CRN and MANETs, though both have been extensively studied in recent years; and (ii) the benefits of integrating CRN and MANET to launch new and to enhance the performance of existing mobile social applications. In this project, graph theoretical approaches are employed to enable scalable HD video chat, to improve the performance of time-bounded information dissemination, and to enhance the privacy of information sharing among the CR-enabled devices. Moreover, network formation games are exploited to construct social-application-aware network topologies for capacity and performance enhancement; and statistical approaches are adopted to investigate the impact of topology control on social behaviors and vice version. The expected results of this project include novel methodologies and theories to enhance the performance of existing and to enable new mobile social applications. The success of this project will have strong impact on both the theoretical and the practical aspects of social applications in the foreseen hybrid environment of CRN and MANETs. The research findings will be disseminated through high-quality publications as well as presentations in focused workshops and conferences. The project outcomes will provide guidance to and may be adopted by industry for enhancing service availability and integrity.
本项目的目标是通过利用认知无线电网络(CRN)和移动自组织网络(MANET)相结合所带来的好处,研究在提高社交应用性能方面起关键作用的一些具有挑战性的问题。这项研究的动机是观察到:(I)CRN和MANET缺乏成功和实际的应用,尽管近年来两者都得到了广泛的研究;以及(Ii)整合CRN和MANET以推出新的移动社交应用和提高现有移动社交应用的性能的好处。在该项目中,使用图论方法来实现可扩展的高清视频聊天,以提高限时信息传播的性能,并增强启用CR的设备之间的信息共享的私密性。此外,利用网络形成博弈来构建社交应用感知的网络拓扑,以提高容量和性能;并采用统计方法来研究拓扑控制对社会行为和反之的影响。该项目的预期结果包括新的方法和理论,以提高现有的移动社交应用程序的性能,并支持新的移动社交应用程序。该项目的成功将对可预见的CRN和MANET混合环境中的社会应用的理论和实践方面产生重大影响。研究结果将通过高质量的出版物以及在有重点的讲习班和会议上的介绍加以传播。项目成果将为业界提供指导,并可能被业界采纳,以提高服务的可用性和完整性。
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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Xiuzhen Cheng其他文献
Distributed Social Learning with Imperfect Information
不完全信息的分布式社会学习
- DOI:
10.1109/tnse.2020.3010833 - 发表时间:
2020 - 期刊:
- 影响因子:6.6
- 作者:
Yuan Yuan;Feng Li;Dongxiao Yu;Jichao Zhao;Jiguo Yu;Xiuzhen Cheng - 通讯作者:
Xiuzhen Cheng
RFC : A Robust and Fast Rate Control Scheme in IEEE 802 . 11 Wireless Networks
RFC:IEEE 802 中的鲁棒且快速的速率控制方案。
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Y. Rong;Liran Ma;Amin Y. Teymorian;Xiuzhen Cheng;Hyeong - 通讯作者:
Hyeong
Achieving Proportional Fairness via AP Power Control in Multi-Rate WLANs
通过多速率 WLAN 中的 AP 功率控制实现比例公平
- DOI:
10.1109/twc.2011.091411.101899 - 发表时间:
2011-12 - 期刊:
- 影响因子:0
- 作者:
Yong Cui;Xiuzhen Cheng;Wei Li - 通讯作者:
Wei Li
Mining Hard Samples Globally and Efficiently for Person Reidentification
在全球范围内高效地挖掘硬样本以进行人员重新识别
- DOI:
10.1109/jiot.2020.2980549 - 发表时间:
2020-10 - 期刊:
- 影响因子:10.6
- 作者:
Hao Sheng;Yanwei Zheng;Wei Ke;Dongxiao Yu;Xiuzhen Cheng;Weifeng Lyu;Zhang Xiong - 通讯作者:
Zhang Xiong
A Polynomial Time Approximation Scheme for the Problem of Interconnecting Highways
公路互联互通问题的多项式时间逼近方案
- DOI:
10.1023/a:1011497227406 - 发表时间:
2001 - 期刊:
- 影响因子:1
- 作者:
Xiuzhen Cheng;Joon;B. Lu - 通讯作者:
B. Lu
Xiuzhen Cheng的其他文献
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{{ truncateString('Xiuzhen Cheng', 18)}}的其他基金
BIGDATA: F: Collaborative Research: Acquisition, Collection and Computation of Dynamic Big Sensory Data in Smart Cities
BIGDATA:F:协作研究:智慧城市动态大传感数据的采集、收集和计算
- 批准号:
1741279 - 财政年份:2018
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
Collaborative Research: Multi-Input Multi-Output (MIMO) Aware Cooperative Dynamic Spectrum Access
协作研究:多输入多输出(MIMO)感知协作动态频谱接入
- 批准号:
1443858 - 财政年份:2015
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
CyberSEES: Type 2: Collaborative Research: Tenable Power Distribution Networks
CyberSEES:类型 2:协作研究:可维持的配电网络
- 批准号:
1442642 - 财政年份:2014
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
Economically-Robust and Secure Auctions for Heterogeneous Secondary Spectrum Market
异构二级频谱市场经济稳健且安全的拍卖
- 批准号:
1407986 - 财政年份:2014
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
TWC TTP: Small: Collaborative: Privacy-Preserving Data Collection and Access for IEEE 802.11s-Based Smart Grid Applications
TWC TTP:小型:协作:基于 IEEE 802.11s 的智能电网应用的隐私保护数据收集和访问
- 批准号:
1318872 - 财政年份:2013
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
NeTS: Medium: Collaborative Research: Integrated Dynamic Spectrum Access for Throughput, Delay, and Fairness Enhancement
NeTS:媒介:协作研究:用于增强吞吐量、延迟和公平性的集成动态频谱访问
- 批准号:
1162057 - 财政年份:2012
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
NeTS: Medium: Collaborative Research: Opportunistic and Compressive Sensing in Wireless Sensor Networks
NeTS:媒介:协作研究:无线传感器网络中的机会和压缩感知
- 批准号:
0963957 - 财政年份:2010
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
NeTS: Small: Exploring the Signal Sparsity in Sensor Networks Based on Compressive Sampling
NeTS:小:基于压缩采样探索传感器网络中的信号稀疏性
- 批准号:
1017662 - 财政年份:2010
- 资助金额:
$ 29.99万 - 项目类别:
Continuing Grant
Collaborative Research: NEDG: Throughput Optimization in Wireless Mesh Networks
合作研究:NEDG:无线网状网络的吞吐量优化
- 批准号:
0831852 - 财政年份:2008
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
Collaborative Research: NOSS: Autonomous Mobile Underwater SEnsor networks (AMUSE): Design and Applications
合作研究:NOSS:自主移动水下传感器网络(AMUSE):设计和应用
- 批准号:
0721669 - 财政年份:2007
- 资助金额:
$ 29.99万 - 项目类别:
Standard Grant
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