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NeTS-NOSS: SENSIMIDE: Integrated Software Development and Multi-Mode Simulation for Large-Scale Sensor Networks

NeTS-NOSS: SENSIMIDE: Integrated Software Development and Multi-Mode Simulation for Large-Scale Sensor Networks
NeTS-NOSS:SENSIMIDE:大规模传感器网络的集成软件开发和多模式仿真
批准号:
0627183
负责人:
Richard Wolski
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-15 至 2010-08-31

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中文摘要
翻译
提案编号:0627183 PI:Rich Wolski,Co-PI:Chandra Krintz机构:加州大学,圣巴巴拉标题:NetS-NOSS:SENSIMIDE:集成软件开发和多模式模拟大规模传感器网络摘要尽管传感器网络似乎承诺变革的科学,甚至社会变革的潜力,他们的发展,目前,仍然处于萌芽状态。 一个关键的障碍是缺乏开发工具,使传感器网络系统的连贯设计,高效的工程和有效的部署。该项目培养了一个新的软件开发平台,结合多模式仿真,电源和电池建模,无线电行为的统计特征,先进的编译和程序准备策略,以提供一个统一的编程和调试基础设施。 SENSIMIDE(Sensornet Simulation IDE)将异构设备的全系统、周期闭合仿真与活动物理设备的实时测量相结合,以提高可扩展集成仿真的保真度。 高性能、基于集群的仿真环境实时执行sensornet操作系统和应用程序代码,无需修改,使用户可以在物理设备上执行和透明地仿真之间移动。 此外,SENSIMIDE仪器和激励仿真在多个抽象层次,从而为用户提供至关重要的和新颖的调试和性能检查能力。SENSIMIDE接口与新的编译策略和调试支持,为用户提供两个新的灵活性方面的能力。 首先,用户可以在仿真系统内对同时执行的传感器进行编程、仪表化和控制。 其次,仿真系统接受外部开发的电源、电池和无线电通信模型,作为促进这些重要研究领域的新系统级研究的一种方式。通过为传感器网络软件系统的开发、调试和全系统分析提供全面的基础设施,SENSIMIDE降低了传感器网络开发和部署的门槛,同时促进了对关键系统级问题的新研究。项目PI将通过出版物和原型软件向更广泛的传感器网络研究和教育社区传播SENSIMIDE。
英文摘要
Proposal Number: 0627183PI: Rich Wolski, Co-PI: Chandra Krintz Institution: University of California, Santa BarbaraTitle: NeTS-NOSS: SENSIMIDE: Integrated Software Development and Multi-Mode Simulation for Large-Scale Sensor NetworksAbstractDespite the potential for transformative scientific and even social change that sensor networks seem to promise, their development is, at present, still nascent. A key impediment is the lack of development tools that enable the coherent design, efficient engineering, and effective deployment of sensor network systems.This project fosters a new software development platform that combines multi-mode simulation, power and battery modeling, statistical characterization of radio behavior, and advanced compilation and program preparation strategies to provide a unified programming and debugging infrastructure. SENSIMIDE (Sensornet Simulation IDE) couples full-system, cycle-close, emulation of heterogenous devices with real-time measurements from active physical devices, to improve the fidelity of scalable ensemble simulations. A high-performance, cluster-based emulation environment executes sensornet operating systems and application code in real-time, without modification, making it possible for the user to move between execution on physical devices and in emulation transparently. In addition, SENSIMIDE instruments and actuates emulations at multiple levels of abstraction thereby affording users vital and novel debugging and performance inspection capabilities.SENSIMIDE interfaces this capability with new compilation strategies and debugging support that provide the user with two new dimensions of flexibility. First users can program, instrument, and control ensembles of simultaneously executing sensors within the emulation system. Secondly, the emulation system accepts externally developed power, battery, and radio communication models as a way of promoting new systems level research in these important areas of study.By delivering a comprehensive infrastructure for the development, debugging, and full-system analysis of sensornet software systems, SENSIMIDE lowers the barrier-to-entry for sensor network development and deployment while promoting new research into critical systems-level problems. The project PIs will disseminate SENSIMIDE to the wider sensor network research and educational communities via publication and prototype software.
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