NeTS-NOSS: Providing Flash Memory Support for Sensor Network Architectures

提案编号：0627191PI: Vana Kalogeraki机构：University of California， riverside标题：NeTS-NOSS：为传感器网络架构提供闪存支持摘要无线传感器网络为各种应用环境创造了巨大的机会。在长期应用程序部署（例如环境监测、地震和结构监测）中，保持大量的原位测量窗口并仅在请求时将特定读数传输到集中式服务器通常更节能。这种网络内存储可以从不必要的无线电传输中节省能量，可以用来提高测量的保真度并延长网络的使用寿命。本研究的目的是开发新的技术，为传感器网络架构提供网络内存储能力。配备外部存储器（如闪存）的单个传感器提供本地存储，也有助于在传感器系统中构建分布式存储。本研究的主要工作如下：(1)开发用于插入的文件结构和索引结构；(2)设计高效的算法，支持传感器网络中的等式查询和空间查询；(3)为外部内存文件存储和索引支持提供操作系统支持；(4)在节点本地组合索引结构，实现分布式存储；(5)扩展传感器网络架构，支持外部内存，使存储管理更容易。这项工作的更广泛影响将是高效且易于管理的存储系统。预计这项工作的结果将对环境监测、地震和结构监测以及工业制造等几个学科产生重大影响。

Proposal Number: 0627191PI: Vana Kalogeraki Institution: University of California, RiversideTitle: NeTS-NOSS: Providing Flash Memory Support for Sensor Network ArchitecturesAbstractWireless sensor networks have created tremendous opportunities for a wide variety of application settings. In long-term application deployments (such as environmental monitoring, seismic and structural monitoring), it is often more energy efficient to keep a large window of measurements in-situ and transmit specific readings to a centralized server only when requested. Such in-network storage conserves energy from unnecessary radio transmissions, which can be used to increase the fidelity of the measurements and prolong the lifetime of the network.The purpose of this research is to develop novel techniques to provide in-network storage capabilities for sensor network architectures. Individual sensors, equipped with external memory (such as flash memory), provide local storage and also contribute to building distributed storage across the sensor system. This research focuses on the following tasks:(1) Develop file structures and index structures for inserting, deleting and indexing data stored locally on external memory,(2) Design efficient algorithms for supporting equality and spatial queries in the sensor network,(3) Provide operating system support for external memory file storage and indexing support,(4) Combine the index structures locally at the nodes to implement distributed storage,(5) Extend sensor network architectures with external memory support, making it easier to manage the storage.The broader impact of this work will be storage systems that are efficient and easy to manage. The outcome of the proposed work is expected to have significant impact on several disciplines, such as environment monitoring, seismic and structural monitoring and industry manufacturing.