Combining scalability and resource awareness in Wireless Sensor Network localization

R. Behnke, A. Born, J. Salzmann, D. Timmermann, R. Bill
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Abstract

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.
结合可扩展性和资源感知的无线传感器网络定位
无线传感器网络(WSNs)已被证明是最适合监测大的和可能难以接近的区域。为了将测量值分配到特定位置以及复杂的网络算法,定位是必需的基本能力。通过将昂贵的定位计算分解为预计算和后计算,引入了分布式最小二乘(DLS)作为一种有效的细粒度定位方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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