Delay prediction in IoT using machine learning approach

AR Abdellah, OA Mahmood… - 2020 12th International …, 2020 - ieeexplore.ieee.org
The combination of 5G, artificial intelligence, and the Internet of Things will have a great
impact on future generations of wireless networks. Internet of Things (IoT) is expected to …

IoT traffic prediction using multi-step ahead prediction with neural network

AR Abdellah, OAK Mahmood… - … Congress on Ultra …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is a network of interconnected devices, such as sensors and smart
devices that have processing, sensing, and communication capabilities, as well as can …

Deep learning for IoT traffic prediction based on edge computing

AR Abdellah, V Artem, A Muthanna… - … , DCCN 2020, Moscow …, 2020 - Springer
The 5G network is the latest wireless mobile communication technology. Nowadays, the
emerging of many network applications has led to a massive amount of network traffic. Many …

Machine learning algorithm for delay prediction in iot and tactile internet

AR Abdellah, OA Mahmood, R Kirichek, A Paramonov… - Future Internet, 2021 - mdpi.com
The next-generation cellular systems, including fifth-generation cellular systems (5G), are
empowered with the recent advances in artificial intelligence (AI) and other recent …

Deep learning with long short-term memory for IoT traffic prediction

AR Abdellah, A Koucheryavy - Internet of Things, Smart Spaces, and Next …, 2020 - Springer
Abstract 5G network is new wireless mobile communication technology beyond 4G
networks. These days, many network applications have been emerged and have led to an …

Network traffic forecasting based on fixed telecommunication data using deep learning

M Alizadeh, MTH Beheshti, A Ramezani… - 2020 6th Iranian …, 2020 - ieeexplore.ieee.org
Network traffic forecasting means estimating future network traffic from previous traffic
observations. Network traffic analysis has various applications in a wide range of fields, and …

Prediction of traffic generated by IoT devices using statistical learning time series algorithms

SP Khedkar, RA Canessane… - … and Mobile Computing, 2021 - Wiley Online Library
An IoT is the communication of sensing devices linked to the Internet in order to
communicate data. IoT devices have extremely critical reliability with an efficient and robust …

Network traffic prediction using long short-term memory

S Nihale, S Sharma, L Parashar… - … on Electronics and …, 2020 - ieeexplore.ieee.org
Computer network traffic control is a torrid research topic nowadays, as this task helps in
various applications like anomaly detection, congestion control and bandwidth control …

Machine learning, Prophet and XGBoost algorithm: Analysis of Traffic Forecasting in Telecom Networks with time series data

G Jain, RR Prasad - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
Network traffic or data traffic is defined as the volume of data moving across a network at a
given point of time. Network data in computer networks is usually encapsulated in system …

Network traffic prediction incorporating prior knowledge for an intelligent network

C Pan, Y Wang, H Shi, J Shi, R Cai - Sensors, 2022 - mdpi.com
Network traffic prediction is an important tool for the management and control of IoT, and
timely and accurate traffic prediction models play a crucial role in improving the IoT service …