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Plausible Mobility: Inferring Movement from Contacts

机译:合理的移动性:从联系人推断运动

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We address the difficult question of inferring plausible node mobility based only on information from wireless contact traces. Working with mobility information allows richer protocol simulations, particularly in dense networks, but requires complex set-ups to measure, whereas contact information is easier to measure but only allows for simplistic simulation models. In a contact trace a lot of node movement information is irretrievably lost so the original positions and velocities are in general out of reach. We propose a fast heuristic algorithm, inspired by dynamic force-based graph drawing, capable of inferring a plausible movement from any contact trace, and evaluate it on both synthetic and real-life contact traces. Our results reveal that (ⅰ ) the quality of the inferred mobility is directly linked to the precision of the measured contact trace, and (ⅱ) the simple addition of appropriate anticipation forces between nodes leads to an accurate inferred mobility.
机译:我们解决了仅根据来自无线联系跟踪的信息来推断合理的节点移动性的难题。使用移动性信息可以进行更丰富的协议仿真,尤其是在密集网络中,但是需要进行复杂的设置才能进行测量,而联系信息则更易于测量,但只允许使用简单的仿真模型。在接触轨迹中,许多节点的移动信息会不可避免地丢失,因此原始位置和速度通常无法到达。我们提出了一种快速启发式算法,该算法受基于动态力的图形绘制的启发,能够从任何接触迹线推断出合理的运动,并在合成和实际接触迹线上对其进行评估。我们的结果表明,(ⅰ)推断的迁移率的质量与所测量的接触迹线的精度直接相关,并且(ⅱ)在节点之间简单添加适当的预期力就可以得出准确的推断的迁移率。

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