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Neighbor-based Hop Size Estimation for Dense Sensor Networks

机译:密集传感器网络的基于邻居的跳大小估计

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摘要

Location information is crucial for many applications in wireless sensor networks. Many types of localization algorithms have been proposed in the literature. Off-shelf sensors equipped with no specialized hardware are inexpensive and have made range-free localization schemes the most practical, especially in a large-scale sensor network. However, the range-free schemes have seldom considered the impact of the local neighborhood, the number of neighbors, or estimation of the communication hop distance of a node. In this paper, we use the local neighborhood to define the communication hop distance, called the single hop size (SHS), of a node. In addition, we propose a novel correction scheme, called SCS (SHS correction scheme), for multi-hop range-free localization. Compared to other range-free methods, SCS significantly reduces errors in position determination, even when the number of anchor nodes is low.
机译:位置信息对于无线传感器网络中的许多应用至关重要。文献中已经提出了许多类型的定位算法。没有专用硬件的现成传感器价格便宜,并且使无范围定位方案最为实用,尤其是在大规模传感器网络中。但是,无范围方案很少考虑本地邻居的影响,邻居的数量或节点的通信跳跃距离的估计。在本文中,我们使用局部邻域来定义节点的通信跳距,称为单跳大小(SHS)。此外,我们提出了一种新颖的校正方案,称为SCS(SHS校正方案),用于多跳无范围定位。与其他无范围方法相比,即使锚点的数量很少,SCS也可以显着减少位置确定中的错误。

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