Fault Prediction Model for Node Selection Function of Mobile Networks

Abstract

Survivability is a critical property that any network system should emerge. A survivable system is a system that achieves its critical services to perform, over an acceptable quality level of service in a timely manner, even if the system is under attack failure or disaster. Usually, mobile networked systems (2G, 3G, 4G, 5G) contain a certain number of different nodes each of which performs certain signaling as part of a larger service, provided to, or requested from, end users. Nowadays, there is much research on how telecommunication mobile systems, should be designed to include self-organization mechanisms like self-monitoring, self-configuration, and self-healing, to automatically perform network management activities. These system capabilities should also be used for ensuring system services' survivability or reliability against any failure. The main objectives of the current paper, for providing a service fault management system, are the following two. The first one is to provide a service fault monitoring system that has the ability of self-diagnosis, and the second one is to provide a self-organization ability for the mobile network by always choosing the best alternative path for a critical service, while the system is degrading to different levels of Quality of Service, until it becomes unavailable. These two objectives constitute key survivability principles.