Cellular Network Fault Prediction Using Mobile Intelligent Agent Technology
نویسنده
چکیده
Proactive cellular network fault automation models using mobile intelligent agent are presented in this paper. Cellular networks are uncertain and dynamic in their behaviours and therefore we use different artificial intelligent techniques to develop platform independent, autonomous, reasoning, scalable and robust agent that can report on any unforeseen anomaly within the cellular network service provider. The specific design and implementation is done using Java Agent DEvelopment Framework (JADE) [17]. We set up a simple wireless network consisting of four devices for our experiments, which lasted seven days. The partial results obtained from the experiments conducted are presented and discussed in this paper.
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