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Case-study of localization via WSN using distributed compressed sensing

机译:通过WSN使用分布式压缩感测通过WSN定位的情况研究

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Distributed compressed sensing task can be parallelized into several nodes that is highly suitable for using in Wireless Sensor Networks. Localization is one of the critical tasks solved in wireless systems. This paper investigates the possibilities of localization using compressed sensing implemented on wireless nodes and aggregation node. The presented case study simulates the application scenario of a target deployed in the field. This target is being localized by the wireless sensor network based on the emitted acoustic signal. Several types of the emitted signals have been used during the simulation runs. The emphasis was put on the properties of the reconstruction process such as compression ratio and minimization of the reconstruction error.
机译:分布式压缩传感任务可以并行于高度适用于无线传感器网络的几个节点。本地化是无线系统中解决的关键任务之一。本文通过在无线节点和聚合节点上实现的压缩感测来研究本地化的可能性。呈现的案例研究模拟了在字段中部署的目标的应用程序。该目标基于发射的声信号由无线传感器网络定位。在仿真运行期间已经使用了几种类型的发射信号。强调重建过程的性质,如压缩比和重建误差的最小化。

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