DLS: A Resource-Aware Localization Algorithm with High Precision in Large Wireless Sensor Networks

F. Reichenbach, J. Salzmann, D. Timmermann, A. Born, R. Bill
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引用次数: 7

Abstract

One of the key issues in large wireless sensor networks is a precise position determination of every node with minimal hardware requirements and lowest energy consumption. Exact localization techniques, which are prone to input errors, are resource-intensive and not feasible on simple sensor nodes without adaptations. The key mechanism is to effectively split the complex computation and distribute the communication load across all nodes. Therefore, we present the "distributed least squares" (DLS)-algorithm. DLS is a resource-aware localization method that achieves 47% computation savings and 86% energy savings compared to the reference method, a "fully distributed multilateration" on every sensor node.
大型无线传感器网络中资源感知的高精度定位算法
大型无线传感器网络的关键问题之一是在最小的硬件要求和最低的能耗下精确确定每个节点的位置。精确定位技术是一种资源密集型技术,在没有自适应的情况下,在简单的传感器节点上是不可行的。其关键机制是有效地分割复杂的计算并将通信负载分配到所有节点。因此,我们提出了“分布式最小二乘”(DLS)算法。DLS是一种资源感知的定位方法,与参考方法相比,它可以节省47%的计算量和86%的能量,在每个传感器节点上都是“完全分布式的”。
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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