ELM localization algorithm introducing virtual nodes for wireless sensor networks

LIU Guo-fan; ZHAO Tian-ni

doi:10.13873/J.1000-9787(2018)04-0125-04

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ELM localization algorithm introducing virtual nodes for wireless sensor networks

更新时间：2025-09-11

- ELM localization algorithm introducing virtual nodes for wireless sensor networks
- Issue 4, Pages: 125-128(2018)
- 作者机构：
  
  1. 湖南工程学院电气信息学院
  2. 湘潭大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2018)04-0125-04
  CLC： TN929.5;TP212.9
- Published：2018
- 稿件说明：
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LIU Guo-fan, ZHAO Tian-ni. ELM localization algorithm introducing virtual nodes for wireless sensor networks[J]. 2018, (4): 125-128.
DOI：

LIU Guo-fan, ZHAO Tian-ni. ELM localization algorithm introducing virtual nodes for wireless sensor networks[J]. 2018, (4): 125-128. DOI： 10.13873/J.1000-9787(2018)04-0125-04.

摘要

基于大部分距离无关算法能以改善锚节点比例提高无线传感器网络定位精度

提出了一种引入虚拟节点的无线传感器网络极限学习机(ELM)定位算法。通过引入的虚拟节点

寻找合适的未知节点升级为次锚节点

以增加锚节点比例

提高了定位精度。将ELM应用于节点定位

有效提高了定位的速度和精度

并因其强大的泛化性能

为无线传感器网络节点定位提供了新的思路。仿真结果表明:引入ELM定位算法和虚拟节点

有效提高了定位精度。

Abstract

Based on the fact that most distance-free algorithms can improve anchor node ratio to improve the precision of wireless sensor networks node localization

an extreme learning machine（ELM） localization algorithm introducing virtual nodes for wireless sensor networks is proposed. Through introducing virtual nodes

looking for suitable unknown nodes to upgrade to sub-anchor nodes

so as to increase proportion of anchor nodes and improve positioning precision.Applying ELM to node localization can effectively improve speed and precision of localization and its powerful generalization performance can provide new ideas for localization of nodes in wireless sensor networks.The simulation result indicates that introducing ELM localization algorithm and virtual nodes can improve positioning precision effectively.

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