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

传感器：一个跨层的方法，在无线传感器网络的能源效率（提案ECS-0427345）AbstractThis传感器提案的重点是开发一个电池感知和密度感知的跨层机制与动态电源管理，提供了一个全面的解决方案，以实现高能源效率的传感器网络。本研究主要包括以下几个方面的工作：（1）通过考虑传感器节点的电池数学模型和节点的协作特性，开发电池感知路由协议，以最大限度地延长传感器节点的电池寿命;（2）研究可行的方法，以更准确地预测传感器节点上的流量，从而降低传感器节点的功耗，同时使其能够充分发挥传感器节点的感知和路由功能;（3）在动态功率管理方法中设计传感器网络的密度感知路由算法，以减少流量冗余并最小化分组路由的功耗;（4）将上述方法集成到跨层机制中，该跨层机制可以全局优化各种节能解决方案，以实现高能量效率和低分组丢失率的网络范围。该研究的内在价值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的基本设计原则和基础设施的发展产生重大影响。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，以及通过纽约州无线网络和信息技术卓越中心和先进技术中心促进工业界和学术界之间的伙伴关系，该项目的更广泛影响将显而易见。

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