Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

A theoretical and empirical model based RSSI localization algorithm

Authors
Pingfang Hu, SuYu Huang
Corresponding Author
Pingfang Hu
Available Online March 2017.
DOI
10.2991/amcce-17.2017.84How to use a DOI?
Keywords
wireless sensor networks, localization algorithm, continuous positioning, one-dimensional.
Abstract

Aiming at the application fields of road monitoring, pipeline transmission and line transmission, a method of one-dimensional continuous positioning based on RSSI value is proposed by combining theoretical model and empirical model. Compared with RADAR and 1-DEMRSSI method, this method improves the positioning accuracy under the condition that the computational processing workload increases slightly. At the same time, the method can greatly reduce the number of reference test points.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.84
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.84How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pingfang Hu
AU  - SuYu Huang
PY  - 2017/03
DA  - 2017/03
TI  - A theoretical and empirical model based RSSI localization algorithm
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 481
EP  - 484
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.84
DO  - 10.2991/amcce-17.2017.84
ID  - Hu2017/03
ER  -