Review, analysis, and implementation of path selection strategies for 2D NoCS
Recent advances in very-large-scale integration (VLSI) technologies have offered the
capability of integrating thousands of processing elements onto a single silicon microchip …
capability of integrating thousands of processing elements onto a single silicon microchip …
A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc networks
In dense traffic unmanned aerial vehicle (UAV) ad-hoc networks, traffic congestion can
cause increased delay and packet loss, which limit the performance of the networks; …
cause increased delay and packet loss, which limit the performance of the networks; …
Efficient routing protocol based on reinforcement learning for magnetic induction underwater sensor networks
S Wang, Y Shin - IEEE Access, 2019 - ieeexplore.ieee.org
In recent research on 3D underwater wireless sensor network (UWSN), magnetic induction
communication is a promising candidate, thanks to several unique features, such as small …
communication is a promising candidate, thanks to several unique features, such as small …
Omnidirectional-wheel conveyor path planning and sorting using reinforcement learning algorithms
In this paper, path planning and sorting of packages for Omnidirectional-Wheel conveyor are
presented using Reinforcement Learning (RL). Q-learning, Double Q-learning, Deep Q …
presented using Reinforcement Learning (RL). Q-learning, Double Q-learning, Deep Q …
Congestion prevention mechanism based on Q-leaning for efficient routing in SDN
S Kim, J Son, A Talukder… - … international conference on …, 2016 - ieeexplore.ieee.org
SDN (Software-Defined Networking) has been proposed to solve problems caused by
difficulties in central management, vendor dependency, and increase in complexity of …
difficulties in central management, vendor dependency, and increase in complexity of …
IPro: An approach for intelligent SDN monitoring
Traffic Monitoring assists in achieving network stability by observing and quantifying its
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
A research on dynamic service function chaining based on reinforcement learning using resource usage
SI Kim, HS Kim - … on Ubiquitous and Future Networks (ICUFN), 2017 - ieeexplore.ieee.org
Following the recent dissemination of several internet devices, NFV has received attention
as a core technology of nextgeneration networks with the purpose of reflecting the …
as a core technology of nextgeneration networks with the purpose of reflecting the …
Machine learning enabled power-aware network-on-chip design
D DiTomaso, A Sikder, A Kodi… - Design, Automation & …, 2017 - ieeexplore.ieee.org
Although Network-on-Chips (NoCs) are fast becoming pervasive as the interconnect fabric
for multicore architectures and systems-on-chips, they still suffer from excessive static and …
for multicore architectures and systems-on-chips, they still suffer from excessive static and …
Routing space exploration for scalable routing in the quantum internet
L Gyongyosi, S Imre - Scientific reports, 2020 - nature.com
The entangled network structure of the quantum Internet formulates a high complexity
routing space that is hard to explore. Scalable routing is a routing method that can determine …
routing space that is hard to explore. Scalable routing is a routing method that can determine …
DeepNR: An adaptive deep reinforcement learning based NoC routing algorithm
RR RS, R Rohit, MS Shahreyar, A Raut… - Microprocessors and …, 2022 - Elsevier
Abstract Network-on-Chip (NoC) has become a cost-effective communication interconnect
for Tiled Chip Multicore Processor systems. The communication between cores is done …
for Tiled Chip Multicore Processor systems. The communication between cores is done …