Results 61 to 70 of about 10,927 (199)

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein   +3 more
wiley   +1 more source

An Extensive Game-Based Resource Allocation for Securing D2D Underlay Communications

open access: yesIEEE Access, 2019
Device-to-device (D2D) communication has been increasingly attractive due to its great potential to improve cellular communication performance. While resource allocation optimization for improving the spectrum efficiency is of interest in the D2D-related
Oleksii Rudenko   +3 more
doaj   +1 more source

A D2D Resource Allocation Scheme in Millimeter Wave Cellular Network [PDF]

open access: yesJisuanji gongcheng, 2018
In the 5G system,millimeter wave (mmWave) and Device-to-Device(D2D) communication technology are beneficial to improve the system throughput and spectrum utilization.For underlay cellular network under 28 GHz,a D2D resource allocation scheme is proposed ...
WEN Kai,CHEN Yongli,YAN Biao
doaj   +1 more source

Grouping-Based Random Access Collision Control for Massive Machine-Type Communication

open access: yes, 2017
Massive Machine-Type Communication (mMTC) is expected to be strongly supported by future 5G wireless networks. Its deployment, however, is seriously challenged by the high risk of random access (RA) collision. A popular concept is to reduce RA collisions
Han, Bin, Schotten, Hans D.
core   +1 more source

Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications

open access: yesTransactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri   +3 more
wiley   +1 more source

Context-aware Cluster Based Device-to-Device Communication to Serve Machine Type Communications

open access: yes, 2017
Billions of Machine Type Communication (MTC) devices are foreseen to be deployed in next ten years and therefore potentially open a new market for next generation wireless network. However, MTC applications have different characteristics and requirements
Lianghai, Ji   +2 more
core   +1 more source

Energy‐Efficient Element Selection in RIS‐Assisted Backscatter Communication Systems

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This paper investigates energy‐efficient reconfigurable intelligent surface (RIS) assisted ambient backscatter communication systems with energy‐harvesting tags. A low‐complexity RIS element selection strategy is developed to satisfy both energy‐harvesting and signal‐to‐interference‐plus‐noise ratio constraints while minimizing overall power ...
Mengistu A. Mulatu   +2 more
wiley   +1 more source

A D2D user pairing algorithm based on motion prediction and power control

open access: yesIET Communications
User pairing plays an important role in device‐to‐device (D2D) relay communication, contributing significantly to maintaining low energy consumption, high throughput, and overall energy efficiency in the communication system.
Zhifeng Huang, Feng Ke, Hui Song
doaj   +1 more source

Energy Efficiency Optimization and Dynamic Mode Selection Algorithms for D2D Communication Under HetNet in Downlink Reuse

open access: yesIEEE Access, 2020
Device-to-Device communication (D2D) is a promising technique for improving fifth-generation cellular network (5G) spectrum and energy efficiency.
Amal Ali Algedir, Hazem H. Refai
doaj   +1 more source

Deep Reinforcement Learning and IoT for Renewable Energy Optimization in Smart Buildings: A Comprehensive Review

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar   +2 more
wiley   +1 more source

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