一种基于接收信号强度指示的改进型定位算法

孔庆茹; 杨新宇; 闫超; 杨文静

您当前的位置：

首页 >

文章列表页 >

一种基于接收信号强度指示的改进型定位算法

专题研究 | 更新时间：2025-12-08

- 一种基于接收信号强度指示的改进型定位算法
- Improved Localization Algorithm Based on Received Signal Strength Indicator
- 西安交通大学学报 2008年42卷第2期页码：147-151
- 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：
  
  : 2007-07-24. 作者简介: 孔庆茹(1973-),男,博士生;杨新宇(联系人),男,副教授. 基金项目: 国家高技术研究发展计划资助项目(2006AA01Z210);西安市工业攻关资助项目(GG06022)
- DOI：
  中图分类号： TP393
- 网络首发：2008-02-10，
  
  纸质出版：2008
- 稿件说明：
移动端阅览
孔庆茹, 杨新宇, 闫超, 等. 一种基于接收信号强度指示的改进型定位算法[J]. 西安交通大学学报, 2008,42(2):147-151.

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.
孔庆茹, 杨新宇, 闫超, 等. 一种基于接收信号强度指示的改进型定位算法[J]. 西安交通大学学报, 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.

关键词

Keywords

references

孙利民,李建中,陈渝,等.无线传感器网络 [M].北京:清华大学出版社,2005.

HE Tian, HUANG Chengdu, BLUM B M, et al. Range-free localization schemes in large scale sensor networks [C]∥Proceedings of the 9th Annual International Conference on Mobile Computing and Networking. New York: ACM Press, 2003:81-95.

HSIEH Yi-Ling, WANG Kuochen. Efficient localization in mobile wireless sensor networks [C]∥Proceedings of IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing. Piscataway, USA: IEEE, 2006:292-297.

CCFFERY J J, STUBER G L. Overview of radiolocation CDMA cellular systems[J]. IEEE Communications Magazine,1998,16(4):38-45.

WHITEHOUSE K, CULLER D. Calibration as parameter estimation in sensor networks [C]∥Proceedings of ACM International Workshop on Wireless Sensor Networks and Application. New York: ACM Press,2002:59-67.

HIGHTOWER J, WANT R, BORRIELLO G. SpotON: an indoor 3d location sensing technology based on rf signal strength, Report 00-02-02 [R]. Seattle, USA: Department of Computer Science and Engineering, University of Washington, 2000.

NI L M, LIU Yunhao, LAU Y C, et al. LANDMARC: indoor location sensing using active RFID [C]∥Proceedings of IEEE PerCom. Piscataway,USA: IEEE, 2003:407-415.

BAHL P, PADMANABHAN V N. RADAR: an in-building RF-based user location and tracking system [C]//Proceedings of IEEE Computer and Communications Societies. Piscataway, USA:IEEE, 2000:775-784.

王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法 [J]. 软件学报, 2005,16(5):857-868.

WANG Fubao, SHI Long, REN Fengyuan. Self-localization systems and algorithms for wireless sensor networks [J]. Journal of Software, 2005,6(5):857-868.

HAEBERDEN A, FLANNERY E, LADD A M, et al. Practical robust localization over large-scale 802.11 wireless networks [C]∥Proceedings of 10th ACM. New York: ACM Press, 2004:70-84.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

无线传感器网络节点协作的节能路由传输

无线传感器网络可分负载调度算法

无线传感器网络分区能耗均衡的非均匀分簇算法

无线传感器网络汇聚节点动态功耗管理方法

无线传感器网络低时延能量均衡安全路由