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Compressive Cooperative Sensing and Mapping in Mobile Networks

机译:移动网络中的压缩协作感知和映射

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In this paper, we consider a mobile cooperative network that is tasked with building a map of the spatial variations of a parameter of interest, such as an obstacle map or an aerial map. We propose a new framework that allows the nodes to build a map of the parameter of interest with a small number of measurements. By using the recent results in the area of compressive sensing, we show how the nodes can exploit the sparse representation of the parameter of interest in the transform domain in order to build a map with minimal sensing. The proposed work allows the nodes to efficiently map the areas that are not sensed directly. We consider three main areas essential to the cooperative operation of a mobile network: building a map of the spatial variations of a field of interest such as aerial mapping, mapping of the obstacles based on only wireless measurements, and mapping of the communication signal strength. For the case of obstacle mapping, we show how our framework enables a novel noninvasive mapping approach (without direct sensing), by using wireless channel measurements. Overall, our results demonstrate the potentials of this framework.
机译:在本文中,我们考虑一个移动协作网络,其任务是构建感兴趣参数的空间变化图,例如障碍物图或空中图。我们提出了一个新的框架,该框架允许节点以少量测量值构建感兴趣参数的映射。通过使用压缩感测领域的最新结果,我们展示了节点如何利用变换域中感兴趣参数的稀疏表示来构建具有最小感测的地图。所提出的工作允许节点有效地映射未被直接感测的区域。我们考虑了移动网络协同操作必不可少的三个主要领域:构建感兴趣领域的空间变化图,例如空中测绘,仅基于无线测量来绘制障碍物以及绘制通信信号强度。对于障碍物映射,我们展示了我们的框架如何通过使用无线信道测量来实现一种新颖的非侵入性映射方法(无直接感测)。总体而言,我们的结果证明了该框架的潜力。

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