Smart congestion control in 5g/6g networks using hybrid deep learning techniques
With the mobility and ease of connection, wireless sensor networks have played a significant
role in communication over the last few years, making them a significant data carrier across …
role in communication over the last few years, making them a significant data carrier across …
Machine learning prediction approach to enhance congestion control in 5G IoT environment
The 5G network is a next-generation wireless form of communication and the latest mobile
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …
Multi-objective intelligent clustering routing schema for internet of things enabled wireless sensor networks using deep reinforcement learning
Abstract The Internet of Things (IoT IoT) is built on a foundation of wireless sensor devices
that connect humans and physical objects to the Internet and enable them to interact with …
that connect humans and physical objects to the Internet and enable them to interact with …
Performance evaluation of AODV, DSDV, and DSR routing protocols in MANET using NS-2 simulator
Sets of wireless mobile nodes that dynamically form spontaneous networks that operate
without a centralized administration are called Mobile Ad hoc Networks (MANET). The …
without a centralized administration are called Mobile Ad hoc Networks (MANET). The …
Long link wireless sensor routing optimization based on improved adaptive ant colony algorithm
Q Zhou, Y Zheng - International Journal of Wireless Information Networks, 2020 - Springer
Compared with the advantages and disadvantages of genetic algorithm, based on the ant
colony algorithm, this paper combined with the selection, crossover and mutation operation …
colony algorithm, this paper combined with the selection, crossover and mutation operation …
Vehicular ad hoc networks: Growth and survey for three layers
A vehicular ad hoc network (VANET) is a mobile ad hoc network that allows wireless
communication between vehicles, as well as between vehicles and roadside equipment …
communication between vehicles, as well as between vehicles and roadside equipment …
AI-Enhanced Engineering Education: Customization, Adaptive Learning, and Real-Time Data Analysis
The chapter explores AI integration in engineering education, emphasizing customization,
adaptive learning, and real-time data analysis. It discusses AI's role in enhancing student …
adaptive learning, and real-time data analysis. It discusses AI's role in enhancing student …
[PDF][PDF] Analysis and study of Deep Reinforcement Learning based Resource Allocation for Renewable Powered 5G Ultra-Dense Networks
HA Alshawabkeh - IJCSNS, 2024 - koreascience.kr
The frequent handover problem and playing **-pong effects in 5G (5th Generation) ultra-
dense networking cannot be effectively resolved by the conventional handover decision …
dense networking cannot be effectively resolved by the conventional handover decision …
ICon: How Can We Intelligently Predict TCP Congestion?
To enhance the wireless network performance, several new wireless standards, such as
IEEE 802.11 ac/ax, are introduced, where the objective is to increase the throughput in the …
IEEE 802.11 ac/ax, are introduced, where the objective is to increase the throughput in the …
[PDF][PDF] Prolonging the Network Lifetime of WSN by using the Consumed Power Fairly Protocol
AJ Ahmed, J Abdullah - … Journal of Advanced Computer Science and …, 2017 - academia.edu
In wireless sensor networks (WSN), energy saving is always a key concern. Since nodes
have limited power, some of them may use specific routes, thus leading to exhaustion of …
have limited power, some of them may use specific routes, thus leading to exhaustion of …