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HTCRL: A Range-Free Location Algorithm Based on Homothetic Triangle Cyclic Refinement in Wireless Sensor Networks

机译:HTCRL:无线传感器网络中基于同构三角形循环细化的无范围定位算法

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Wireless sensor networks (WSN) have become a significant technology in recent years. They can be widely used in many applications. WSNs consist of a large number of sensor nodes and each of them is energy-constrained and low-power dissipation. Most of the sensor nodes are tiny sensors with small memories and do not acquire their own locations. This means determining the locations of the unknown sensor nodes is one of the key issues in WSN. In this paper, an improved APIT algorithm HTCRL (Homothetic Triangle Cyclic Refinement Location) is proposed, which is based on the principle of the homothetic triangle. It adopts perpendicular median surface cutting to narrow down target area in order to decrease the average localization error rate. It reduces the probability of misjudgment by adding the conditions of judgment. It can get a relatively high accuracy compared with the typical APIT algorithm without any additional hardware equipment or increasing the communication overhead.
机译:近年来,无线传感器网络(WSN)已成为一项重要技术。它们可以广泛用于许多应用中。 WSN由大量传感器节点组成,每个传感器节点都是能量受限且功耗低的。大多数传感器节点是具有较小内存的微型传感器,并且不会获取自己的位置。这意味着确定未知传感器节点的位置是WSN中的关键问题之一。本文基于同构三角形原理,提出了一种改进的APIT算法HTCRL(同构三角形循环细化定位)。它采用垂直正中表面切割来缩小目标区域,以降低平均定位误差率。通过添加判断条件,可以减少错误判断的可能性。与典型的APIT算法相比,它可以获得相对较高的精度,而无需任何额外的硬件设备或增加通信开销。

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