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II-NEW: Vehicular Instrumentation for Green Sensor-Enabled Research

II-NEW: Vehicular Instrumentation for Green Sensor-Enabled Research
II-新:用于绿色传感器研究的车辆仪器
批准号:
1059294
负责人:
Tarek Abdelzaher
金额:
$33.44万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-06-01 至 2015-05-31

项目摘要

项目成果

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中文摘要
翻译
该项目开发了一个配备传感和通信设备的移动分布式车辆测试台,用于试验车辆参与式传感领域新兴的网络和应用程序开发挑战。该项目的动机是由于日常使用的传感器(例如 GPS 设备和汽车速度计)的激增而催生了新型计算和社交应用程序。这些应用程序依靠自行选择的志愿者社区来进行数据收集和共享,以实现共同利益。该项目特别感兴趣的是有助于降低运输能源成本和碳足迹的应用。例如,通过共享车辆速度、燃油效率和位置数据,可以开发更好的实时导航服务,引导驾驶员选择最能提高汽车燃油效率的路线,从而减少交通碳足迹。该测试平台有助于调查实现此类应用程序的多项研究挑战,包括数据隐私、能源效率、抗干扰通信、社交网络和交互复杂性管理的调查。目前还没有通用的测试平台可以让研究人员对规模不小的实时车辆数据收集系统进行实验,以研究此类挑战。通过构建这样的测试平台,该项目有助于开创传感应用的新时代,使人类、网络和物理世界更加融合,这可能通过降低运输能源成本和碳足迹对经济、能源和环境产生重大影响。
英文摘要
This project develops a mobile distributed vehicular testbed equipped with sensory and communication devices for experimentation with emerging networking and application development challenges in the domain of vehicular participatory sensing. The project is motivated by the emergence of a new type of computing and social applications enabled by the proliferation of sensors of everyday use, such as GPS devices and car speedometers. These applications rely on self-selected communities of volunteers to perform data collection and sharing for purposes of mutual interest. Of particular interest to this project are applications that help reduce transportation energy cost and carbon footprint. For example, by sharing data on speed, fuel efficiency, and location of vehicles, better real-time navigation services can be developed that guide drivers to routes that are maximally fuel-efficient for their cars, hence reducing transportation carbon footprint. The testbed facilitates the investigation of several research challenges towards enabling such applications including the investigation of data privacy, energy-efficiency, disruption-tolerant communication, social networking, and management of interactive complexity. No common testbed is currently available that allows researchers to experiment with a live vehicular data collection system of non-trivial size for the purposes of investigating such challenges. By building such a testbed, this project helps usher in a new era of sensing applications with more integration of humans, networks, and the physical world, which may have a significant impact on the economy, energy, and the environment by reducing transportation energy cost and carbon footprint.
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会议论文
Collaborative Research: CPS: Medium: Real-time Criticality-Aware Neural Networks for Mission-critical Cyber-Physical Systems
CSR: Small: Data Services for Reliable Crowdsensing in Urban Spaces
Need-Based Sponsorship of Student Travel to IEEE MASS 2015; October 19-22, 2015; Dallas, TX
FIA-NP: Collaborative Research: Named Data Networking Next Phase (NDN-NP)
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