Title :
Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology
Author :
Kogeda, Okuthe P. ; Agbinya, Johnson I.
Author_Institution :
Western Cape Univ., Bellville
Abstract :
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.
Keywords :
Java; cellular radio; fault diagnosis; inference mechanisms; mobile agents; radio networks; telecommunication computing; telecommunication network reliability; JADE; Java agent development framework; artificial intelligent technique; autonomous agent reasoning; mobile intelligent agent technology; proactive cellular network fault prediction model; Artificial intelligence; Bayesian methods; Computer networks; Computer science; IP networks; Intelligent agent; Land mobile radio cellular systems; Mobile computing; Predictive models; Software agents; Bayesian Networks; Cellular network faults and Services.; Fault Prediction; Mobile Intelligent Agent; OSS;
Conference_Titel :
Wireless Broadband and Ultra Wideband Communications, 2007. AusWireless 2007. The 2nd International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2842-2
Electronic_ISBN :
978-0-7695-2846-5
DOI :
10.1109/AUSWIRELESS.2007.62
