Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology

Cellular network faults prediction models using mobile intelligent agent are presented in this paper. Cellular net-works are uncertain and dynamic in their behaviours and therefore we use different artificial intelligent techniques to develop platform independent, autonomous, reasoning and robust agents that can report on any unforeseen anomaly within the cellular network service provider. The specific design and implementation is done using Java Agent DE-velopment Framework (JADE). The partial results ob-tained from the experiments conducted are presented and discussed in this paper