Table of Contents
Conference Papers in Engineering
Volume 2013 (2013), Article ID 958926, 7 pages
http://dx.doi.org/10.1155/2013/958926
Conference Paper

Decision Support System for Alarm Correlation in GSM Networks Based on Artificial Neural Networks

1Mobile Communication Group Department, Alcatel-Lucent, Benghazi, Libya
2Industrial and Manufacturing Systems Engineering Department, University of Benghazi, Benghazi, Libya

Received 27 February 2013; Accepted 9 May 2013

Academic Editors: M. Elmusrati, A. Gaouda, and H. Koivo

This Conference Paper is based on a presentation given by Ashraf Kamal Arhouma at “International Conference on Electrical and Computer Engineering” held from 26 March 2013 to 28 March 2013 in Benghazi, Libya.

Copyright © 2013 Ashraf Kamal Arhouma and Saleh M. Amaitik. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Wallin, V. Leijon, and L. Landén, “Statistical analysis and prioritization of alarms in mobile networks,” International Journal of Business Intelligence and Data Mining, vol. 4, no. 1, pp. 4–21, 2009. View at Google Scholar
  2. H. -C. Chao, “Modified adaptive resonance theory for alarm correlation based on distance hierarchy in mobile networks,” in Proceedings of the 13th Asia-Pacific Network Operations and Management Symposium (APNOMS '11), pp. 1–4, Taipei, Taiwan, 2011. View at Publisher · View at Google Scholar
  3. D. S. Kim, H. Shinbo, and H. Yokota, “An alarm correlation algorithm for network management based on root cause analysis,” in Proceedings of the 13th International Conference on Advanced Communication Technology (ICACT '11), pp. 1233–1238, Seoul, Republic Of Korea, February 2011. View at Scopus
  4. T. Li and X. Li, “Novel alarm correlation analysis system based on association rules mining in telecommunication networks,” Information Sciences, vol. 180, no. 16, pp. 2960–2978, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Wietgrefe, K.-D. Tuchs, K. Jobmann et al., “Using neural networks for alarm correlation in cellular phone networks,” in Proceedings of the International Workshop on Applications of Neural Networks in Telecommunications, pp. 1–10, 1997.
  6. H. Wietgrefe, “Investigation and practical assessment of alarm correlation methods for the use in GSM access networks,” in Proceedings of the IEEE/IFIP Network Operations and Management Symposium, pp. 391–403, Florence, Italy, April 2002. View at Scopus
  7. W. Jian and L. X. Ming, “A dynamic mining algorithm of association rules for alarm correlation in communication networks,” in Proceedings of the 3rd IEEE/Create-Net International Conference on Communication System Software and Middleware (COMSWARE '08), pp. 799–802, Bangalore, India, January 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. O. Jukic and M. Kunštic, “ABCDE—Alarm Basic Correlations Discovery Environment,” in Proceedings of the 33rd International Convention (MIPRO '10), pp. 528–533, Opatija, Croatia, May 2010.
  9. M. Mouly and M.-B. Pautet, The GSM System for Mobile Communications, 1992.
  10. G. Jakobson and M. D. Weissmann, “Alarm correlation,” IEEE Network Magazine, pp. 52–59, 1993. View at Publisher · View at Google Scholar
  11. H. Wietgrefe, “Performance modelling of network management traffic: an analytical approach,” in Proceedings of the The 5th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI '01), 2001.
  12. D. M. Meira and J. M. S. Nogueira, “A recursive approach for alarm correlation in telecommunication networks,” in Proceedings of the IEEE/IFIP Network Operations and Management Symposium (NOMS '00), pp. 985–986, April 2000. View at Scopus