RR: Wireless Sensor Network Laboratory Infrastructure

RR：无线传感器网络实验室基础设施

• 批准号: 0423336
• 负责人: Divyakant Agrawal
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0423336&HistoricalAwards=false
• 关键词: RR; Wireless; Sensor; Network; Laboratory

This project, conducting research in the areas of sensor networks and distributed and cluster computing, experiments with precision-based query processing over sensor networks and wireless networking. Since sensor devices are powered by ordinary batteries, power constitutes a limiting resource in sensor networks. To address this limitation, power-aware query techniques are proposed for aggregation queries. Instead of providing users with exact answers, precision is introduced, giving full control to the users of the tradeoff between precision and energy usage. Another project studies the design and implementation of a self-organizing storage cluster built upon commodity components, investigating performance and availability of large-scale storage clusters as well as load balancing and data replication support, suitable for data intensive applications. Off loading techniques that effectively partition computation across devices are also under study, since these techniques can significantly extend the life of hand-held devices. Still another project investigates techniques to effectively partition computation across devices conserving the "virtual battery life" of the system. improving the efficacy of future partitioning decisions. Considering feedback from the system, the techniques should be able to "adapt" to changing conditions in the system. The off-loading techniques for heterogeneous systems include three categories of devices: sensors, mobile devices, and power workstations. The research seeks lightweight service discovery solutions that can determine the resources provided by nodes in the heterogeneous network. The infrastructure enables research in the following areas: Sensor Information Processing, Sensor Data Collection, Cluster-Based Data Storage, Power Management of Sensor-Based System Components, and Wireless and Service and Resource Discovery in Sensor Networks.The proposed infrastructure will be used to experiment with precision-based query processing over sensor networks.Broader Impact: The lab infrastrucure provides means to integrate a variety of sensing devices with different characteristics. Academic, as well as commercial research will benefit. Software artifacts and experience into novel curricular directions impact the training of students.

本计画在感测器网路、分散式与丛集式运算领域进行研究，并在感测器网路与无线网路上进行以精确度为基础的查询处理实验。由于传感器设备由普通电池供电，因此功率构成传感器网络中的有限资源。为了解决这个限制，提出了用于聚合查询的功率感知查询技术。引入了精确性，而不是向用户提供精确的答案，从而使用户能够完全控制精确性和能源使用之间的权衡。另一个项目研究基于商品组件的自组织存储集群的设计和实现，调查大规模存储集群的性能和可用性以及负载平衡和数据复制支持，适用于数据密集型应用程序。有效地在设备之间划分计算的卸载技术也在研究中，因为这些技术可以显着延长手持设备的寿命。还有一个项目研究了在设备之间有效地划分计算的技术，以节省系统的“虚拟电池寿命”。从而提高未来划分决策的效率。考虑到来自系统的反馈，这些技术应该能够“适应”系统中不断变化的条件。异构系统的卸载技术包括三类设备：传感器、移动的设备和功率工作站。该研究寻求轻量级的服务发现解决方案，可以确定异构网络中的节点提供的资源。该基础设施支持以下领域的研究：传感器信息处理、传感器数据收集、基于传感器的数据存储、基于传感器的系统组件的电源管理以及传感器网络中的无线和服务与资源发现。拟议的基础设施将用于在传感器网络上进行基于精度的查询处理实验。实验室基础设施提供了集成具有不同特性的各种传感设备的方法。学术和商业研究都将受益。软件工件和经验到新的课程方向影响学生的培训。