Simulate Congestion Prediction in a Wireless Network Using the LSTM Deep Learning Model
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...
Main Author: | Nada Badr Jarah |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Tehran
2019-12-01
|
Series: | Journal of Information Technology Management |
Subjects: | |
Online Access: | https://jitm.ut.ac.ir/article_74762_442b6197cd4283c5f42ba88fadcacd64.pdf |
Similar Items
-
Proactive Congestion Avoidance for Distributed Deep Learning
by: Minkoo Kang, et al.
Published: (2021-12-01) -
TCP-Drinc: Smart Congestion Control Based on Deep Reinforcement Learning
by: Kefan Xiao, et al.
Published: (2019-01-01) -
A NEW PREDICTIVE MODEL FOR CONGESTION CONTROL IN WIRELESS SENSOR NETWORKS
by: NAJME TANZADE PANAH, et al.
Published: (2017-06-01) -
Data prediction model in wireless sensor networks based on bidirectional LSTM
by: Hongju Cheng, et al.
Published: (2019-08-01) -
Deep LSTM with Reinforcement Learning Layer for Financial Trend Prediction in FX High Frequency Trading Systems
by: Francesco Rundo
Published: (2019-10-01)