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Combining scalability and resource awareness in Wireless Sensor Network localization

机译:无线传感器网络定位中的可扩展性和资源意识结合

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Wireless Sensor Networks (WSNs) have been shown to be most suitable for monitoring large and possibly inaccessible areas. To assign measured values to certain positions as well as for complex network algorithms, localization represents a required basic capability. By splitting a costly localization calculation into precalculation and postcalculation, Distributed Least Squares (DLS) has been introduced as an efficient approach of fine grained localization.
机译:无线传感器网络(WSNS)已被证明最适合监控大型和可能无法访问的区域。 要将测量值分配给某些位置以及复杂的网络算法,本地化表示所需的基本功能。 通过将昂贵的定位计算分成预钙化和后分布,已经引入了分布的最小二乘(DLS)作为细粒度定位的有效方法。

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