Traffic Forecasting and Planning of WiMAX under Multiple Priority Using Fuzzy Time Series Analysis

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53579#.VMnd0CzQrzE

Author(s)   
Ismail Bin Abdullah, Daw Abdulsalam Ali Daw, Kamaruzzaman Bin Seman

Affiliation(s)
Faculty of Science and Technology, Universiti Sains Islam Malaysia (USIM), Bandar Baru Nilai, Malaysia.

ABSTRACT
Network traffic prediction plays a fundamental role in characterizing the network performance and it is of signi?cant interests in many network applications, such as admission control or network management. Therefore, The main idea behind this work, is the development of a WIMAX Traffic Forecasting System for predicting traffic time series based on the daily and monthly traffic data recorded (TRD) with association of feed forward multi-layer perceptron (FFMLP). The quality of forecasting WIMAX Traffic obtained by comparing different configurations of the FFMLP that consist of investigating different FFMLP model architectures and different Learning Algorithms. The decision of changing the FFMLP architecture is essentially based on prediction results to obtain the FFMLP model for flow traffic prediction model. The different configurations were tested using daily and monthly real traffic data recorded at each of the two base stations (A and B) that belongs to a Libyan WiMAX Network. We evaluate our approach with statistical measurement and a good statistic measure of FMLP indicates the performance of selected neural network configuration. The developed system indicates promising results in which it successfully network traffic prediction through daily and monthly traffic data recorded (TRD) association with artificial neural network.

KEYWORDS
Network Traffic, Wimax, Fuzzy Time Series, Forecasting

Cite this paper
Abdullah, I. , Daw, D. and Seman, K. (2015) Traffic Forecasting and Planning of WiMAX under Multiple Priority Using Fuzzy Time Series Analysis. Journal of Applied Mathematics and Physics, 3, 68-74. doi: 10.4236/jamp.2015.31009.

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