htcrl: a range-free location algorithm based on homothetic triangle cyclic refinement in wireless sensor networks

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ID: 167490
2017
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Abstract
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.
Reference Key
zhang2017informationhtcrl: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dan Zhang;Zhiyi Fang;Hongyu Sun;Jie Cao
Journal psychoanalytic review
Year 2017
DOI
10.3390/info8020040
URL
http://www.mdpi.com/2078-2489/8/2/40
Keywords
localization

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