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Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology

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2 Author(s)
Kogeda, O.P. ; Western Cape Univ., Bellville ; Agbinya, J.I.

Cellular network faults prediction 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 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 development framework (JADE). The partial results obtained from the experiments conducted are presented and discussed in this paper.

Published in:

Wireless Broadband and Ultra Wideband Communications, 2007. AusWireless 2007. The 2nd International Conference on

Date of Conference:

27-30 Aug. 2007