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The FU Berlin parallel lateration-algorithm simulation and visualization engine

机译:FU Berlin并行并行算法算法和可视化引擎

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We introduce a simulation engine to visually evaluate and compare distance based lateration algorithms and deployments called the FU Berlin Parallel Lateration-Algorithm Simulation and Visualization Engine (LS2). Our engine simulates a scenario which consists of given anchor positions and evaluates all positions of a playing field in parallel, instead of only randomly selected positions. At the end of a simulation run, the user is able to judge the strengths and weaknesses of the algorithm in a picture that displays the spatial position error distribution, a representation of positions in a plane with their errors. Understanding spacial distribution of error is especially valuable, because we observed that it depends on the placement of anchor nodes. This enables the developer to optimize his algorithm or aid him in selecting an algorithm for his application. The simulator's design separates the simulation engine, the lateration algorithms, and the error models. The simulator can be easily extended with additional lateration algorithms and error models. The engine is written in GNU C99 and uses the SSE or AVX vector extensions of modern microprocessors. Thus, it is able to scale fully to all cores. Beside extendability, the main focus is set on execution speed.
机译:我们引入了一种仿真引擎,以可视化方式评估和比较基于距离的填充算法和部署,称为FU Berlin并行填充算法模拟和可视化引擎(LS 2 )。我们的引擎模拟由给定的锚点位置组成的场景,并并行评估运动场的所有位置,而不是仅随机选择的位置。在模拟运行结束时,用户可以在显示空间位置误差分布的图片中判断算法的优缺点,图片显示了空间位置误差及其在平面中的位置。了解错误的空间分布特别有价值,因为我们观察到它取决于锚节点的位置。这使开发人员可以优化其算法或帮助他为自己的应用选择算法。模拟器的设计将模拟引擎,填充算法和错误模型分开。可以使用其他填充算法和错误模型轻松扩展模拟器。该引擎使用GNU C99编写,并使用现代微处理器的SSE或AVX矢量扩展。因此,它能够完全扩展到所有核心。除了可扩展性外,主要重点是执行速度。

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