The Prediction Method of Actual Traffic Based on ARMA and Wavelet Transform

DOI

10.2991/icimm-15.2015.212How to use a DOI?

Keywords

Wireless Sensor Network; Prediction; ARMA; Wavelet; Error

Abstract

In order to improve the prediction accuracy of wireless sensor network, a novel prediction algorithm is proposed by ARMA and wavelet transform. In this algorithm, the characteristic of ARMA is defined, and the Theoretical foundation of is given. Then, the prediction error of actual traffic is decreased by fusion the results of ARMA and wavelet transform. Finally, a simulation was conducted to study the key influence factor of algorithm with OPNET and MATLAB. The results show that, compared to FARIMA model, This paper has better suitability.

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/).

Download article (PDF)

TY  - CONF
AU  - Guobin Chen
PY  - 2015/07
DA  - 2015/07
TI  - The Prediction Method of Actual Traffic Based on ARMA and Wavelet Transform
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1182
EP  - 1187
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.212
DO  - 10.2991/icimm-15.2015.212
ID  - Chen2015/07
ER  -