A Weighted APIT Localization Algorithm based on Vector Similarity

DOI

10.2991/csic-15.2015.3How to use a DOI?

Keywords

APIT algorithm, Center of gravity method, Weight based on vector similarity

Abstract

To reduce incorrect decisions of PIT test (Point-In-Triangulation Test) and localization error of APIT algorithm, a weighted APIT algorithm is proposed based on vector similarity. Firstly, for better distance precision, the estimated distances between nodes computed from RSSI attenuation model are corrected by the least square method. Secondly, a center of gravity method is proposed for PIT test, which decreases InToOut and OutToIn error. Finally, a weight is introduced based on vector similarity for the different reliability of triangular regions. The simulation result shows that the positioning error of ASG-APIT algorithm decreased by 43%, 17% and 13% respectively, compared with APIT, MIX-APIT and RAPIT algorithm.

Copyright

© 2015, 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  - Li He
AU  - Zhiwei Kang
PY  - 2015/07
DA  - 2015/07
TI  - A Weighted APIT Localization Algorithm based on Vector Similarity
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 8
EP  - 11
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.3
DO  - 10.2991/csic-15.2015.3
ID  - He2015/07
ER  -