CSR-EHCS(EHS), TM: Virtual Execution Environments for Wireless Sensor Networks

CSR-EHCS(EHS), TM：无线传感器网络虚拟执行环境

• 批准号: 0834555
• 负责人: Cameron (Kamin) Whitehouse
• 金额: $ 18万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0834555&HistoricalAwards=false
• 关键词: CSR; EHCS; EHS; TM; Virtual

Wireless sensor nets (WSNs) promise anytime/anywhere information about the physical world with a spatio-temporal resolution that was unimaginable just a few years ago. However, development tools for WSNs are still conspicuously inadequate; they are notoriously unstable and difficult to debug, reprogram, or profile at run-time.These problems motivate the need for virtual execution environments (VEEs) in the WSN domain. A VEE is a software system that sits above the hardware layer and modifies the execution behavior of a native binary executable at run time. VEEs are designed to perform operations on a program binary during execution, such as program shepherding, execution profiling, dynamic reprogramming, and debugging. The overall goal of this research is to explore, design, implement, and evaluate VEEs for the WSN domain. This project considers three basic VEE architectures: injection-based, translation-based, and interpretation-based VEEs. A key aspect of this research is to revisit fundamental design decisions of conventional VEEs to make them operate with the limited resource profiles of sensor nodes. The results of this research will make it easier to quickly and robustly develop sensor network applications, thereby helping to transition this promising technology into the mainstream.

无线传感器网络（WSN）能够随时随地提供有关物理世界的信息，其时空分辨率在几年前还是难以想象的。然而，无线传感器网络的开发工具仍然明显不足；它们非常不稳定，并且难以在运行时调试、重新编程或分析。这些问题激发了 WSN 域中对虚拟执行环境 (VEE) 的需求。 VEE 是一个位于硬件层之上的软件系统，可在运行时修改本机二进制可执行文件的执行行为。 VEE 旨在在执行期间对程序二进制文件执行操作，例如程序管理、执行分析、动态重新编程和调试。本研究的总体目标是探索、设计、实施和评估 WSN 领域的 VEE。该项目考虑三种基本的 VEE 架构：基于注入、基于翻译和基于解释的 VEE。这项研究的一个关键方面是重新审视传统 VEE 的基本设计决策，使它们能够在传感器节点的有限资源配置下运行。这项研究的结果将使快速、稳健地开发传感器网络应用变得更加容易，从而有助于将这一有前途的技术转变为主流。