The nervous system modeling algorithm for signal processing and communication in intelligent networks
Safae El Abkari, Jamal El Mhamdi · 2016
The proper acquisition and exploitation of carrying signals in an intelligent network ensure performances optimization. Especially, if the used method seeks to use existing resources and improve their uses in order to make it more effective. However, based on this concept, the design of a flexible, dynamic, and resistant network can be easily reached. This paper deals with the issue of the good exploiting and processing of signals in intelligent networks. For this, we propose an approach of an autonomous and efficient method inspired from the nervous system that enables getting signals, process it, look for failure in case of problem, find solutions for it or signalize it if it is hard to solve. Finally, we describe how to implement it to be usable in wider applications.