چکیده:
Achieved wireless networks since its beginning the prevalent wide due to the increasing wireless devices represented by smart phones and laptop, and the proliferation of networks coincides with the high speed and ease of use of the Internet and enjoy the delivery of various data such as video clips and games. Here's the show the congestion problem arises and represent aim of the research is to avoid congestion at APs to wireless networks by adding a control before congestion occurs. A wireless connection was made using the Android system, and congestion was predicted based on the analysis of wireless communication packages around the access point using the LSTM deep learning model. The results show that if the amount of information in the input data is large, a more accurate prediction can be made.
خلاصه ماشینی:
Simulate Congestion Prediction in a Wireless Network Using the LSTM Deep Learning Model Nada Badr Jarah Assistant Professor, Statistics Department, Collage of management and economic, University of Basra, Iraq.
A wireless connection was made using the Android system, and congestion was predicted based on the analysis of wireless communication packages around the access point using the LSTM deep learning model.
As a result, it is possible to achieve congestion control without package loss and with all terminals connected to the wireless network, ensuring equal productivity and steady.
The data connection is made using the Android terminal, package are obtained around the wireless network and used as an input set.
, 2015): This research discusses the problem of traffic flow prediction based on deep architecture models with large traffic data using auto coding devices to represent traffic flow features to predict, and experiments have proven that the proposed method has Superior performance.
Recurrent Neural Network (2) Long Short-Term Memory (LSTM) (Sak, Senior & Beaufays, 2014): Is a special type of RNN networks that is able to connect previous information to the current task, LSTM has a chain in which it is typical unit has a different structure, instead of having one neural network layer, there are four, reacting in a very special way.
Long Short-Term Memory Because this study analyzes packages representing time series data, deep learning is performed using LSTM as a model.
Simulation The simulation was performed to assess whether congestion can be predicted when making a data connection using an Android terminal under different conditions.
Simulate congestion prediction in a wireless network using the LSTM deep learning model.