CAREER: Traffic Differentiation in Multihop Wireless Networks
职业:多跳无线网络中的流量差异化
基本信息
- 批准号:0644033
- 负责人:
- 金额:$ 31.37万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-05-01 至 2012-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
After WLAN's phenomenal commercial success, multihop wireless networks, including wireless sensor networks, wireless mesh networks, and mobile ad-hoc networks, are expected to lead in the next wave of deployment. From a user's perspective, not only do these networks enable ubiquitous communication, but also they should provide means to support diverse application requirements, particularly, the ability to differentiate various types of data flows and ensure quality of service. The objective of this project is to design distributed algorithms and network protocols to solve several fundamental problems in multihop wireless networks, including end-to-end weighted bandwidth allocation, bandwidth assurance, and performance/overhead tradeoff in traffic differentiation. The study covers a variety of network conditions, including single-commodity or multi-commodity flows, single-path or multi-path routing, and static or highly-dynamic wireless networks. The research focuses on two hop-by-hop, routing-independent, light-weight approaches based on aggregate state and packet labels, respectively. Without maintaining any per-flow state, these approaches are able to implement traffic differentiation under aggregate or weighted maxmin models and have great flexibility in adaptation based on network/traffic conditions. The research results are expected to have significant intellectual and practical impact. Wireless sensor networks, mesh networks, and mobile ad-hoc networks will provide a pervasive communication infrastructure for modern societies and dramatically change the way people interact with cyberspace and physical environment. Traffic-differentiation capability allows these networks to meet diverse application requirements, which will promote their entrance into the marketplace. As an educational effort, this project actively involves senior undergrads and minority students.
在WLAN取得了惊人的商业成功之后,多跳无线网络,包括无线传感器网络、无线网状网络和移动的自组织网络,有望在下一波部署中占据主导地位。从用户的角度来看,这些网络不仅能够实现无处不在的通信,而且还应该提供支持各种应用需求的手段,特别是区分各种类型的数据流并确保服务质量的能力。这个项目的目标是设计分布式算法和网络协议,以解决多跳无线网络中的几个基本问题,包括端到端加权带宽分配,带宽保证,和性能/开销权衡流量区分。该研究涵盖了各种网络条件,包括单商品或多商品流,单路径或多路径路由,静态或高度动态的无线网络。研究重点是两个逐跳,路由无关,轻量级的方法,分别基于聚合状态和数据包标签。这些方法不需要维护任何每流状态,能够在聚合或加权最大最小模型下实现流量区分,并且在基于网络/流量条件的自适应中具有很大的灵活性。研究结果预计将产生重大的知识和实际影响。无线传感器网络、网状网络和移动的ad-hoc网络将为现代社会提供无处不在的通信基础设施,并极大地改变人们与网络空间和物理环境交互的方式。业务差异化能力使这些网络能够满足不同的应用需求,这将促进它们进入市场。作为一项教育工作,该项目积极吸引高年级本科生和少数民族学生参与。
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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Shigang Chen其他文献
Achieving High Scalability Through Hybrid Switching in Software-Defined Networking
通过软件定义网络中的混合交换实现高可扩展性
- DOI:
10.1109/tnet.2018.2789339 - 发表时间:
2018-02 - 期刊:
- 影响因子:0
- 作者:
Hongli Xu;He Huang;Shigang Chen;Gongming Zhao;Liusheng Huang - 通讯作者:
Liusheng Huang
PSON: A scalable P2P file sharing system with efficient complex query support
PSON:一个可扩展的P2P文件共享系统,具有高效的复杂查询支持
- DOI:
10.1007/s12083-010-0089-8 - 发表时间:
2011 - 期刊:
- 影响因子:4.2
- 作者:
Yan Li;J. Ahuja;Li Lao;Jun;Shigang Chen - 通讯作者:
Shigang Chen
An incrementally deployable path address scheme
- DOI:
10.1016/j.jpdc.2012.05.001 - 发表时间:
2012-10-01 - 期刊:
- 影响因子:
- 作者:
MyungKeun Yoon;Shigang Chen - 通讯作者:
Shigang Chen
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
地球图像洪水测绘的空间逻辑感知弱监督学习
- DOI:
10.1609/aaai.v38i20.30253 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Zelin Xu;Tingsong Xiao;Wenchong He;Yu Wang;Zhe Jiang;Shigang Chen;Yiqun Xie;Xiaowei Jia;Da Yan;Yang Zhou - 通讯作者:
Yang Zhou
Limiting Self-Propagating Malware Based on Connection Failure Behavior through Hyper-Compact Estimators
通过超紧凑估计器限制基于连接失败行为的自我传播恶意软件
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
You Zhou;Yian Zhou;Shigang Chen;O. P. Kreidl - 通讯作者:
O. P. Kreidl
Shigang Chen的其他文献
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{{ truncateString('Shigang Chen', 18)}}的其他基金
Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
- 批准号:
2312676 - 财政年份:2023
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
CNS Core: Small: Collaborative: Coalescent Computing - New Theory, Mechanism and Platform for Adaptive Edge Computing
CNS 核心:小型:协作:合并计算 - 自适应边缘计算的新理论、机制和平台
- 批准号:
1909077 - 财政年份:2019
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Low-cost, Convenient, Non-intrusive Methods for Enabling the Internet of Things
NetS:小型:协作研究:实现物联网的低成本、便捷、非侵入性方法
- 批准号:
1718708 - 财政年份:2017
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
NeTS: Small: Sketching Big Network Data
NeTS:小:勾画大网络数据
- 批准号:
1719222 - 财政年份:2017
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
NeTS: Medium: New Technologies for Next-generation Infrastructural Tagged Systems
NeTS:中:下一代基础设施标记系统的新技术
- 批准号:
1409797 - 财政年份:2014
- 资助金额:
$ 31.37万 - 项目类别:
Continuing Grant
NeTS:Small: Making Online Network Functions Fast and Compact
NeTS:Small:使在线网络功能快速而紧凑
- 批准号:
1115548 - 财政年份:2011
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
CPS:Small: Transforming a City's Transportation Infrastructure through an Embedded Pervasive Communication Network
CPS:Small:通过嵌入式普适通信网络改造城市的交通基础设施
- 批准号:
0931969 - 财政年份:2009
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
NeTS-WN: New Technologies for Real-Time Wireless Mesh Networks with Transportation Applications
NeTS-WN:具有交通应用的实时无线网状网络新技术
- 批准号:
0721731 - 财政年份:2007
- 资助金额:
$ 31.37万 - 项目类别:
Standard Grant
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