Sensors: A Cross-Layer Approach for Energy Efficiency in Wireless Sensor Networks

传感器：无线传感器网络中提高能源效率的跨层方法

• 批准号: 0427345
• 负责人: Yuanyuan Yang
• 金额: --
• 依托单位: SUNY at Stony Brook
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427345&HistoricalAwards=false
• 关键词: Sensors; Cross; Layer; Approach; Energy

Sensors: A Cross-Layer Approach for Energy Efficiency in Wireless SensorNetworks (Proposal ECS-0427345)AbstractThis Sensor proposal focuses on developing a battery-aware and density-aware cross-layer mechanism with dynamic power management that provides a comprehensive solution to achieve high energy efficiency in sensor networks. This research includes following tasks: (1) develop battery-aware routing protocols to maximize battery lifetime of sensor nodes by considering mathematical battery models and collaborative nature of sensor nodes; (2) investigate promising, realistic approaches for more accurate traffic prediction on sensor nodes to reduce power consumption of sensor nodes while enabling them to function fully in sensing and routing activities; (3) design density-aware routing algorithms for sensor networks in a dynamic power management approach to reduce traffic redundancy and minimize power consumption of packet routing; (4) integrate the above approaches into a cross-layer mechanism that can globally optimize various power saving solutions to achieve high energy efficiency and low packet loss rate network-wide. The intrinsic merit of the research lies in development of viable solutions for cross-layer energy optimization for future generation sensor networks. The research will have a significant impact on fundamental design principles and infrastructures for the development of future sensor networks. The outcome of this project will be applicable to a wide spectrum of applications. The broader impact of the project will be evident through integrating graduate students into the project and disseminating important findings to the research community and by facilitating the partnership between industry and academia through New York State Center of Excellence in Wireless Networking and Information Technology and Center for Advanced Tec

传感器：无线传感器网络中实现能源效率的跨层方法（提案 ECS-0427345）摘要该传感器提案侧重于开发具有动态电源管理功能的电池感知和密度感知跨层机制，该机制提供了实现高能量的全面解决方案传感器网络的效率。这项研究包括以下任务：（1）开发电池感知路由协议，通过考虑数学电池模型和传感器节点的协作性质来最大化传感器节点的电池寿命； (2) 研究有希望的、现实的方法，以更准确地预测传感器节点的流量，以降低传感器节点的功耗，同时使它们能够在传感和路由活动中充分发挥作用； (3) 以动态功耗管理方法为传感器网络设计密度感知路由算法，以减少流量冗余并最小化数据包路由的功耗； (4)将上述方法集成到跨层机制中，可以全局优化各种节能解决方案，实现全网高能效和低丢包率。该研究的内在优点在于为下一代传感器网络的跨层能量优化开发可行的解决方案。该研究将对未来传感器网络开发的基本设计原则和基础设施产生重大影响。该项目的成果将适用于广泛的应用。通过将研究生纳入该项目并向研究界传播重要发现，并通过纽约州无线网络和信息技术卓越中心以及高级中心促进工业界和学术界之间的合作伙伴关系，该项目的更广泛影响将显而易见。技术