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Poster Abstract: Localization Based on Stochastic Optimization and RSSI Measurements

机译:海报摘要:基于随机优化和RSSI测量的本地化

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摘要

The paper describes the design and performance of a novel technique that can be used to calculate the geographic locations of nodes that form wireless sensor network system (WSN). Location awareness is required for many WSN applications, but it is often too expensive to include GPS adapter in each sensor node. Hence, localization systems are provided to calculate the positions of nodes. We developed multihop algorithms based on trilateration and stochastic optimization, and RSSI measurements.
机译:本文描述了一种新技术的设计和性能,该技术可用于计算形成无线传感器网络系统(WSN)的节点的地理位置。许多WSN应用都需要位置感知功能,但是在每个传感器节点中都包含GPS适配器通常太昂贵了。因此,提供了定位系统来计算节点的位置。我们开发了基于三边测量和随机优化以及RSSI测量的多跳算法。

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