CAREER: Energy Efficient Mobile Wireless Networking

职业：节能移动无线网络

• 批准号: 0133761
• 负责人: Rajarathnam Chandramouli
• 金额: $ 30.68万
• 依托单位: Stevens Institute of Technology
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133761&HistoricalAwards=false
• 关键词: CAREER; Energy; Efficient; Mobile; Wireless

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率。许多基于电线的传统应用程序都无线运行。除其他问题外，为了使未来的移动无线通信的成功，需要解决的一个核心问题是节能无线网络。目前，由于多种原因，大多数移动设备的可重新电池电量能力受到限制。还知道，与无线技术和应用的进步相比，电池技术发射的速率相当慢。因此，重要的是优化网络算法，协议和参数以提高能源效率。特别是，这对于支持下一代高速无线网络可能至关重要。能量最小化是两种类型：通信和计算能量最小化。在设计节能的物理层算法和硬件体系结构方面取得了重大进展。但是，该项目的目的是研究网络协议堆栈较高层的能量优化和控制策略。为了实现这一目标，提出了一个称为控制层的新层。在此层中合并了一系列丰富的数学工具和随机控制算法，以预测，估计和控制随时间变化的参数，例如电池容量，传输速率，误差控制，路由，传输协议和应用程序要求。该层使其他协议层具有能源感知。总而言之，该跨学科研究项目的拟议计划以及将研究与本科和研究生级别的教学整合在一起的教育计划如下：1）能源有效的链接和MAC层协议，以实现时间变化的无小电视链接。通信与计算能量之间权衡的随机控制。基于新概率的MAC协议，试图安排用户以最小化的能量。2）对流量和链接错误的爆发性质的随机控制算法的理论分析。 实验以验证和测试这些对照算法的现实生活渠道。3）随机最小能量路由算法，这些算法解释了当前移动节点的电池状态和网络状态的电池状态。4）能源感知的运输控制协议，以区分基于无线链接的良好状态和基于型号的速度控制速度和范围的速度动力学的速度控制速度。5）教室中的技术。通过这个NSF职业项目激励的本科和研究生研究。从史蒂文斯学院获得了100,000美元的匹配赠款，而来自新泽西州的100,000美元已致力于该项目。支持文件已附加为补充。