Information Feedback Appraoch for the Simulation of Service Quality in the Inter-Object Communications

Abstract

Simulation of a system with limited data is challenging. It calls for a certain degree of intelligence built into the system. This chapter provides a new model-based simulation methodology that may be customized and used in the simulation of a wide variety of problems involving multiple source-destination flows with intermediate agents. It explains the model based on a new class of neural networks called differentially fed artificial neural networks and the system level performance of the same. Next, as an example, the impact of system level differential feedback on multiple flows and the application of the concept are presented, followed by the simulation results. The author hopes that a variety of real life problems that involve multiple flows may be mapped onto this simulation model and optimal performance may be obtained. The model serves as a reference design that may be fine-tuned based on the application.