面向VANETs的数据感知与处理中间件

Stefan Nour, Raluca Negru, F. Xhafa, Florin Pop, C. Dobre, V. Cristea
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引用次数: 6

摘要

在当今的城市环境中,有许多具有多种相互通信方式的移动设备,它们变得越来越强大,并在日常活动中使用。这些设备最重要的特点是,它们可以提供有用的信息,以详细了解它们所覆盖的区域,特别是当它们行驶很远的距离时。通过收集所有这些特定的数据,然后对其进行处理,我们可以在移动用户的帮助下获得交通流量、污染、天气状况等不同方面的全球图像。本文提出了一种基于OSGi框架的车载自组网数据感知中间件,并尝试通过使用所提供的API原型来简化应用程序程序员的工作。这包括构建、部署和维护应用程序,这些应用程序将处理从传感器获取的数据,并向用户提供有用的实时信息。
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Middleware for Data Sensing and Processing in VANETs
In urban environments nowadays there are a multitude of mobile devices that have several ways of communicating with each other, which become more and more powerful and used in every day activity. The most important characteristic of these devices is that they can supply useful information for a detailed vision of the area that they cover, especially when they travel a large distance. By gathering all this particular data and then processing it, we can obtain a global image of different aspects like traffic flow, pollution, weather condition, and all this with the help of the mobile users. In this paper we present a middleware for sensing data in Vehicular Adhoc Networks that uses the OSGi framework and tries to simplify the work made by application programmers by using the API prototype provided. This concludes in building, deploying and maintaining applications that will process the data acquired from sensors and deliver real-time information useful to the users.
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