Improved Localization Algorithm Based on Received Signal Strength Indicator

孔庆茹; 杨新宇; 闫超; 杨文静

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Improved Localization Algorithm Based on Received Signal Strength Indicator

更新时间：2025-12-08

- Improved Localization Algorithm Based on Received Signal Strength Indicator
- Vol. 42, Issue 2, Pages: 147-151(2008)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Online First：10 February 2008，
  
  Published：2008
- 稿件说明：
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孔庆茹, 杨新宇, 闫超, et al. Improved Localization Algorithm Based on Received Signal Strength Indicator[J]. 2008, 42(2): 147-151.
DOI：

孔庆茹, 杨新宇, 闫超, et al. Improved Localization Algorithm Based on Received Signal Strength Indicator[J]. 2008, 42(2): 147-151. DOI：

摘要

针对无线传感器网络在道路监控、管道传输等一维环境中出现的因经验模型基站移动或环境发生改变时需要重新建立数据库的问题

提出了一种基于接收信号强度指示(RSSI)的一维经验模型定位算法(1-DEMRSSI).该算法基于一维线性定位的思想

利用信号强度比值来确定未知节点的位置

所以只需要建立一次信号强度比值数据库.仿真结果表明

1-DEMRSSI算法比RSSI算法的运算量小

且一次定位时间可缩短10%左右

定位精度提高14.2%～66.4%

其在一维线性应用领域表现出了良好的灵活性和实用性.

Abstract

In order to overcome the problem of reestablishing the data set when the base stations move or the environments change

a novel 1-dimensional empirical model location algorithm —1-DEMRSSI is proposed for 1-dimensional wireless sensor networks applications such as road surveillance and pipeline transmission. The algorithm is based on RSSI(received signal strengthindicator)and linear location

and utilizes the ratios of signal strengths

instead of signal strength

to determine the locations of the unknown nodes. The algorithm only needs to establish the data set for ratios of the signal strengths once. Simulation results and comparisons with the RSSI algorithm show that the calculation cost of the proposed algorithm is reduced

location time is shortened about 10%

and the location precision is improved by 14.2% to 66.4%. It has been observed that the algorithm is well flexible and practical for linear applications.

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references

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