CAREER: Energy Efficient Mobile Wireless Networking
职业:节能移动无线网络
基本信息
- 批准号:0133761
- 负责人:
- 金额:$ 30.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-08-01 至 2008-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Mobile wireless networking is experiencing a tremendous rate of growth. Many traditional wireline based applications are going wireless. Among other issues, one core issue that needs to be addressed for the success of future mobile wireless communications is energy-efficient wireless networking. Currently, the re-chargeable battery energy capacity of most mobile devices is limited due to a variety of reasons. It is also known that the rate at which battery technology isprogressing is rather slow compared to the advances in wireless technology and applications. Therefore, it is important to optimize the networking algorithms, protocols and parameters for energy efficiency. Especially, this may be essential to support next generation high speed wireless networking.Energy minimization is of two types: communication and computation energy minimization. There has been significant progress in designing energy-efficient physical layer algorithms and hardware architectures. But, the goal of this project is to investigate energy optimization and control policies at higher layers of the network protocol stack. Towards this objective a new layer called Control Layer is proposed. A rich set of mathematical tools and stochastic control algorithms are incorporated in this layer to predict, estimate, and control the time-varying parameters such as battery capacity, rate of transmission, error control, routing, transport protocols, and application requirements. This layer enables the other protocol layers to be energy-aware.In summary, the proposed plan for this inter-disciplinary research project and the educational initiatives to integrate research with teaching at both undergraduate and graduate levels are as follows:1) Energy-efficient link and MAC layer protocols for time-varying wireless links. Stochastic control of the tradeoff between communication versus computation energy. New probability based MAC protocols that attempt to schedule users such that energy is minimized.2) Theoretical analysis of stochastic control algorithms that react to the bursty nature of traffic and link errors. Experiments to validate and test these control algorithms for real-life channels.3) Stochastic minimum energy routing algorithms that account for the current battery state of a mobile node and also the network state.4) Energy-aware transport control protocols that distinguish between the good and bad states of a wireless link and act accordingly.5) Stochastic dynamic programming based rate control techniques at the application layer to save energy.6) Implementation of project based learning and active learning techniques in the class room. Motivate undergraduate and graduate student research through this NSF CAREER project.A matching grant of $100,000 from Stevens Institute and $100,000 from New Jersey state have been committed to this project. Supporting documents have been attached as supplements.
移动无线网络正在经历巨大的增长。许多传统的基于有线的应用正在转向无线。除其他问题外,未来移动无线通信成功需要解决的一个核心问题是节能无线网络。目前,大多数移动设备的可充电电池能量容量由于多种原因而受到限制。众所周知,与无线技术和应用的进步相比,电池技术的进步速度相当缓慢。因此,优化网络算法、协议和参数以提高能源效率非常重要。特别是,这对于支持下一代高速无线网络可能至关重要。能量最小化有两种类型:通信能量最小化和计算能量最小化。在设计节能物理层算法和硬件架构方面取得了重大进展。但是,该项目的目标是研究网络协议栈高层的能源优化和控制策略。为了实现这一目标,提出了一个称为控制层的新层。该层结合了丰富的数学工具和随机控制算法来预测、估计和控制时变参数,例如电池容量、传输速率、错误控制、路由、传输协议和应用要求。该层使其他协议层能够实现能源感知。 总之,这个跨学科研究项目的拟议计划以及将本科生和研究生水平的研究与教学相结合的教育举措如下:1)节能用于时变无线链路的链路和 MAC 层协议。通信与计算能量之间权衡的随机控制。新的基于概率的 MAC 协议试图对用户进行调度,从而使能量最小化。2) 对流量和链路错误的突发性做出反应的随机控制算法的理论分析。 针对现实通道验证和测试这些控制算法的实验。3) 考虑移动节点当前电池状态以及网络状态的随机最小能量路由算法。4) 区分不同节点的能量感知传输控制协议无线链路的好坏状态并采取相应行动。5)应用层基于随机动态规划的速率控制技术以节省能源。6)在课堂上实施基于项目的学习和主动学习技术。通过这个 NSF CAREER 项目激励本科生和研究生的研究。史蒂文斯研究所和新泽西州已承诺为该项目提供 100,000 美元的配套拨款。支持文件已作为补充附上。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Rajarathnam Chandramouli其他文献
Authorship Attribution on Imbalanced English Editorial Corpora
不平衡英文社论语料库的作者归属
- DOI:
10.5120/ijca2017914587 - 发表时间:
2017-07-17 - 期刊:
- 影响因子:0
- 作者:
Srinivasa Rao;N. V. Ganapathi;Raju;V. V. Kumar;Adrián Pastor;Rajarathnam Chandramouli;Ganapathi Raju;OSrinivasa Rao - 通讯作者:
OSrinivasa Rao
Rajarathnam Chandramouli的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Rajarathnam Chandramouli', 18)}}的其他基金
Collaborative Research: SAVI: iCON: Institute for Cognitive Networking
合作研究:SAVI:iCON:认知网络研究所
- 批准号:
1546964 - 财政年份:2015
- 资助金额:
$ 30.68万 - 项目类别:
Standard Grant
NetSE:Small: Human Behavior Inspired Cognitive Radio Network Design
NetSE:小:人类行为启发的认知无线电网络设计
- 批准号:
0916180 - 财政年份:2009
- 资助金额:
$ 30.68万 - 项目类别:
Continuing Grant
Perspectives on Information Hiding for Multimedia Security
多媒体安全信息隐藏的观点
- 批准号:
0242417 - 财政年份:2003
- 资助金额:
$ 30.68万 - 项目类别:
Standard Grant
相似国自然基金
基于细胞活力敏感AIE荧光探针的肿瘤类器官药敏试验新方法及其响应机制研究
- 批准号:82302647
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
组蛋白乙酰转移酶GCN5调控糖脂代谢促进胶质母细胞瘤干细胞活力的机制与功能研究
- 批准号:82373095
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
全基因组关联分析揭示ZmMGT1调控玉米种子活力的功能机理
- 批准号:32372161
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
多时空维度下地铁域环境对地下公共空间活力的影响机理研究
- 批准号:52308387
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
城市夜间日常生活区的演进过程、活力机制与更新治理路径研究
- 批准号:52378053
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
CAREER: Resilient and Efficient Automatic Control in Energy Infrastructure: An Expert-Guided Policy Optimization Framework
职业:能源基础设施中的弹性和高效自动控制:专家指导的政策优化框架
- 批准号:
2338559 - 财政年份:2024
- 资助金额:
$ 30.68万 - 项目类别:
Standard Grant
CAREER: Unary Computing in Memory for Fast, Robust and Energy-Efficient Processing
职业:内存中的一元计算,实现快速、稳健和节能的处理
- 批准号:
2339701 - 财政年份:2024
- 资助金额:
$ 30.68万 - 项目类别:
Continuing Grant
CAREER: Toward energy-efficient bio-inspired magnonic processing with nanomagnetic arrays
职业:利用纳米磁性阵列实现节能的仿生磁力处理
- 批准号:
2339475 - 财政年份:2024
- 资助金额:
$ 30.68万 - 项目类别:
Continuing Grant
CAREER: Computation-efficient Resolution for Low-Carbon Grids with Renewables and Energy Storage
职业:可再生能源和能源存储低碳电网的计算高效解决方案
- 批准号:
2340095 - 财政年份:2024
- 资助金额:
$ 30.68万 - 项目类别:
Continuing Grant
CAREER: SHF: Bio-Inspired Microsystems for Energy-Efficient Real-Time Sensing, Decision, and Adaptation
职业:SHF:用于节能实时传感、决策和适应的仿生微系统
- 批准号:
2340799 - 财政年份:2024
- 资助金额:
$ 30.68万 - 项目类别:
Continuing Grant