G-networks with synchronised arrivals
We consider G-networks in which customers arrive simultaneously in several queues. We denote this new signal as synchronised arrivals. Under some conditions on the arrivals on the boundary of the state space, and the ergodicity condition, we prove that ...
Learning in the feed-forward random neural network: A critical review
The Random Neural Network (RNN) has received, since its inception in 1989, considerable attention and has been successfully used in a number of applications. In this critical review paper we focus on the feed-forward RNN model and its ability to solve ...
Evaluating perceived voice quality on packet networks using different random neural network architectures
Voice over Internet Protocol (VoIP) is one of the fastest growing technologies in the world. In VoIP speech signals are transmitted over the same network used for data communications. The internet is not a robust network and is subjected to delay, ...
A new solution for a queueing model of a manufacturing cell with negative customers under a rotation rule
In this paper, we consider a queueing model extension for a manufacturing cell composed of a machining center and several parallel downstream production stations under a rotation rule. A queueing model is extended with the arrival processes of negative ...
Network routing control with G-networks
The aim of this paper is to detail a control scheme for packet computer networks whose purpose is to minimise a quality-of-service oriented performance metric by re-routing the traffic. The model is based on G-networks with triggered customer movement ...
An initiative for a classified bibliography on G-networks
In the last two decades, researchers have really been embracing the idea of G-networks with negative arrivals and the relevant product form solution including nonlinear traffic equations, which is the unified model for queueing networks and neural ...
Energy-aware routing in the Cognitive Packet Network
An energy aware routing protocol (EARP) is proposed to minimise a performance metric that combines the total consumed power in the network and the QoS that is specified for the flows. The algorithm uses source routing based on the functionalities ...
Guest Editorial: Introduction to the Special Issue on G-Networks and the Random Neural Network
This special issue includes seven papers on G-networks and the Random Neural Network (RNN), approximately twenty years after these models were first introduced. We summarise the differences between the research trends related to these two branches of ...