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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

期数:

2013年12期

页码:

11-15

栏目:

智能、算法、系统工程

出版日期:

1900-01-01

文章信息/Info

Title:

RSSI Assisted Monte Carlo Localization Boxed Algorithm

文章编号:

1673-629X（2013）12-0011-05

作者:

游晓鹏¹; 鲍金凤¹; 邱奉美¹; 李怀忠¹; 2

[1]温州大学 物理与电子信息工程学院;[2]埃迪斯科文大学 计算机与安全科学学院

Author(s):

YOU Xiao-peng[1]; BAO Jin-feng[1]; QIU Feng-mei[1]; LI Huai-zhong[1; 2]

关键词:

移动定位; 蒙特卡罗; 动态权值; 蒙特卡罗盒定位; RSSI; RSSI辅助的蒙特卡罗盒定位

Keywords:

mobile localization; Monte Carlo; dynamical weights; MCB; RSSI; RAMCB

文献标志码:

A

摘要:

针对以蒙特卡罗为基础的几种无线传感器网络定位算法普遍存在定位精度和采样效率低的问题，文中提出了一种RSSI辅助的蒙特卡罗盒定位算法( RAMCB)。通过实验构造出符合实际环境的RSSI和距离区间的映射关系数据库；在定位阶段，未知节点利用来自一跳和两跳锚节点的RSSI值查询数据库，得到与一跳和两跳锚节点的距离区间，利用距离区间建立更为精确的采样箱，以提高采样效率；未知节点根据样本到一跳、两跳锚节点的估计距离和实际距离的差值来动态赋予样本的权值。仿真结果表明：RAMCB算法能有效提高定位精度和采样效率

Abstract:

In view of the low localization accuracy and sampling efficiency problems that generally exist in the localization algorithm based on Monte Carlo in WSN. a RSSI Assisted Monte Carlo Localization Boxed ( RAMCB) algorithm is presented. A database of the mapping between RSSI and distance scopes suited to realities is created by experiment. In the localization stage,an unknown node uses RSSI values from one-hop and two-hop anchors to query the database,then the distance scopes to one-hop and two-hop anchors are ob-tained,use the distance scopes to establish a more accurate sampling box to improve the sampling efficiency. An unknown node dynami-cally gives samples weights according to the difference between estimated distances and actual distances from samples to one-hop and two-hop anchors. The result of simulation demonstrates that RAMCB can effectively improve localization accuracy and efficiency

常用功能

更新日期/Last Update: 1900-01-01