CAREER: Integrated Resource Conservation in Sensor Networks

提案：0347674机构：乔治华盛顿大学nsf项目：网络研究首席研究员：程，秀珍标题：职业：传感器网络中的集成资源保护摘要数千个协同传感器组成的分布式网络为许多监测、监视和控制应用提供了无人值守的系统。传感器网络有望长期运行。这使得网络寿命成为传感器网络设计者的中心问题。该项目采用系统级集成方法来延长网络寿命。更具体地说，新的传感器位置发现方法正在开发中，这将节省传感器内的计算能力和无线电带宽等资源；正在设计新的MAC协议，以优化低功耗、低数据速率的传感器网络；研究了事件检测和目标计数等数据聚合服务的新方法。由于传感器网络中的传感器自定位、MAC控制和数据聚合服务彼此强烈依赖，因此使用集成方法共同探索它们的交互和设计，以延长网络寿命。

PROPOSAL: 0347674INSTITUTION: George Washington UnivNSF PROGRAM: NETWORKING RESEARCHPRINCIPAL INVESTIGATOR: Cheng, Xiuzhen TITLE: CAREER: Integrated Resource Conservation in Sensor NetworksAbstractDistributed networks of thousands of collaborative sensorspromise unattended systems for many monitoring, surveillanceand control applications. Sensor networks are expected to operate forlong time. This makes network lifetime the central problem for asensor network designer. This project pursues a system-levelintegrated approach to extend network lifetime. More specifically,new sensor location discovery methods are being developed that willconserve resources such as computational power and radio bandwidth withina sensor; new MAC protocols is being designed to optimize forlow power, low data rate sensor networks; novel approaches areinvestigated for data aggregation services such as event detection andtarget counting. Because sensor self-positioning, MAC control,and data aggregation services in a sensor network are strongly dependenton each other, their interaction and design are jointlyexplored using an integrated approach for extending network lifetime.