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SensOrneTworks（提案ECS-0427345）的跨层方法，摘要该传感器建议着重于开发具有动态电源管理的电池感知和密度感知的跨层机制，该机制具有动态功能管理，提供了全面的解决方案，可为传感器网络中的高能效率提供综合的解决方案。这项研究包括以下任务：（1）通过考虑数学电池模型和传感器节点的协作性质来开发电池感知的路由协议，以最大程度地利用传感器节点的电池寿命； （2）调查有希望的，现实的方法，以在传感器节点上进行更准确的流量预测，以减少传感器节点的功耗，同时使它们能够在感应和路由活动中充分发挥作用； （3）在动态功率管理方法中设计密度感知的传感器网络路由算法，以减少交通冗余并最大程度地减少数据包路由的功率消耗； （4）将上述方法整合到跨层机制中，该方法可以在全球范围内优化各种动力解决方案，以实现高能效和范围内的低包装损耗率。该研究的内在优点在于开发可为未来一代传感器网络跨层能量优化的可行解决方案开发。这项研究将对未来传感器网络开发的基本设计原则和基础架构产生重大影响。该项目的结果将适用于广泛的应用程序。通过将研究生整合到项目中，并通过纽约州无线网络卓越和高级TEC中心通过纽约州卓越的TEC中心，通过将研究生整合到项目中，并促进行业与学术界之间的伙伴关系，并促进了该项目的广泛影响，并促进了重要的发现。