Distributed real-time localization algorithm based on sparse observation and asynchronous transmission in WSN

For the issues that the existing centralized multi-dimensional scaling(MDS-MAP)localization algorithms in wireless sensor network (WSN)have localization accuracy and distributed problem, a distributed real-time localization algorithm based on sparse observation and asynchronous transmission in WSN w...

Full description

Saved in:
Bibliographic Details
Main Authors: Yong MA, Yuchun LIU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016237/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:For the issues that the existing centralized multi-dimensional scaling(MDS-MAP)localization algorithms in wireless sensor network (WSN)have localization accuracy and distributed problem, a distributed real-time localization algorithm based on sparse observation and asynchronous transmission in WSN was proposed. Firstly, the sparse observation mechanism was fused into the traditional MDS-MAP algorithm to make it better conform to the actual observation scene. Then an asynchronous transmission sequence was used to enable the nodes can distribute computing distance and obtain the position estimation. Finally, the estimation error was reduced by an elaboration operation, and the precise positioning of the node was realized. The experimental results show that this algorithm has high positioning accuracy.
ISSN:1000-0801