Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

A Localization Model based on Irregular Quadrilateral for Wireless Sensor networks

Authors
Fengjun Shang, Hongxia Gao
Corresponding Author
Fengjun Shang
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.14How to use a DOI?
Keywords
Localization, RSSI, Irregular Quadrilateral, Location accuracy
Abstract
Localization is used in location-aware applications such as navigation, autonomous robotic movement, and asset tracking to position a moving object on a coordinate system. In this paper, we present a localization model based on the irregular quadrilateral in wireless sensor networks. Firstly, a quadrilateral-positioning unit is presented. It may prevent the unknown node falls into the external of positioning unit. Lastly, we use RSSI value to find the nearest reference sample nodes from unknown node, compared with the SBL localization algorithm, our algorithm improve the positioning accuracy. Theoretical analysis and simulation results show that the algorithm in wireless sensor networks and other location-based applications have a good effect.
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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.14How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fengjun Shang
AU  - Hongxia Gao
PY  - 2013/02
DA  - 2013/02
TI  - A Localization Model based on Irregular Quadrilateral for Wireless Sensor networks
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 54
EP  - 57
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.14
DO  - https://doi.org/10.2991/isccca.2013.14
ID  - Shang2013/02
ER  -