Air Quality Monitoring Network Localization Algorithm Based on RSSI Ranging

DOI

10.2991/icmcm-16.2016.68How to use a DOI?

Keywords

air quality monitoring; wireless sensor network (WSN); RSSI ranging; RLS algorithms; positioning

Abstract

To keep abreast of the situation of environmental air quality, improve the quality of life, based on the actual needs of the air quality safety monitoring, a location method of the air quality monitoring network is proposed based on ranging correction and recursive LS estimation. This method mainly includes the RSSI ranging, the measurement distance correction, the monitoring node localization and so on. The system can realize the automatic monitoring and localization of environmental air quality. Compared with the conventional LS location algorithm, the mean value Ei of positioning error is 0.2433 and 0.2910, and the average running time is 0.2475s and 0.2946s respectively, which shows that the proposed localization algorithm has higher accuracy and lower computational complexity.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Bo Chang
AU  - Xin-rong Zhang
AU  - Bao-guo Xv
PY  - 2016/12
DA  - 2016/12
TI  - Air Quality Monitoring Network Localization Algorithm Based on RSSI Ranging
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 337
EP  - 342
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.68
DO  - 10.2991/icmcm-16.2016.68
ID  - Chang2016/12
ER  -