基于移动智能代理技术的主动蜂窝网络故障预测

The 2nd International Conference on Wireless Broadband and Ultra Wideband Communications (AusWireless 2007) Pub Date : 2007-08-27 DOI:10.1109/AUSWIRELESS.2007.62

O. P. Kogeda, J. Agbinya

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引用次数: 2

摘要

提出了基于移动智能体的蜂窝网络故障预测模型。蜂窝网络的行为是不确定的和动态的，因此我们使用不同的人工智能技术来开发平台独立的、自主的、推理的和健壮的代理，这些代理可以报告蜂窝网络服务提供商内任何不可预见的异常。具体的设计和实现使用Java代理开发框架(JADE)完成。本文给出了部分实验结果并进行了讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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.

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The 2nd International Conference on Wireless Broadband and Ultra Wideband Communications (AusWireless 2007)

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