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Go-With-the-Flow Swarm Sensing in Inaccessible Viscous Media

机译:在无法访问的粘性媒体中,与流动的群体感应

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This paper extends the 'go-with-the-flow' method to explore enclosed environments, like oil reservoirs, pipe lines that transport liquids, and industrial tanks for processing chemicals, where sensing nodes cannot establish communication with the external world. Nonetheless, large quantities of highly miniaturized, thus power-constrained sensor nodes are injected into these environment and flow through them along with the medium, monitoring their environment but also reconstructing their time-varying position from mutual communication, but without any communication to external base stations or beacons. The relative trajectories of nodes yield essential insights of the fluid flow in the otherwise inaccessible environment. We present a functional implementation of a ranging protocol accommodating size and energy constraints. Our simulation chain models node movement from different types of flow dynamics. It comprehensively assesses not only the performance of the communication and ranging protocols, but also of the reconstruction algorithm. Our assessments cover a wide range of different environments and flow profiles, including highly dynamic ones.
机译:本文扩展了“加入流”方法来探索封闭的环境,如储油器,运输液体的管道,以及用于加工化学品的工业储罐,其中传感节点无法与外观建立通信。尽管如此,大量高度小型化,因此可以将动力约束的传感器节点注入这些环境中并通过它们以及介质一起流过,监测它们的环境,而且还从相互通信中重建它们的时变位置,但没有与外部基础的任何通信站或信标。节点的相对轨迹在其他不可访问的环境中产生了流体流动的必要识别。我们提出了一种适应尺寸和能量约束的测距协议的功能实现。我们的仿真链模型从不同类型的流动动态的节点运动。它不仅全面评估了通信和测距协议的性能,还可以进行重建算法。我们的评估涵盖了各种不同的环境和流程配置文件,包括高度动态的环境。

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