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Telecommunication Node Clustering with Node Compatibility and Network Survivability Requirements

Author

Listed:
  • Kyungchul Park

    (Telecommunication Network Research Lab., Korea Telecom, Wha-am-dong, Yusong-gu, Taejon, 305-348, Korea)

  • Kyungsik Lee

    (Electronics and Telecommunication Research Institute, 161 Kajong-dong, Yusong-gu, Taejon, 305-350, Korea)

  • Sungsoo Park

    (Department of Industrial Engineering, Korea Advanced Institute of Science and Technology, Gusong-dong, Yusong-gu, Taejon, 305-701, Korea)

  • Heesang Lee

    (Department of Industrial Engineering, Hankuk University of Foreign Studies, 89 Mohyun-ri, Wangsan-myun Yongin-gun, Kyunggi-do 449-791, Korea)

Abstract

We consider the node clustering problem that arises in designing a survivable two-level telecommunication network. The problem simultaneously determines an optimal partitioning of the whole network into clusters (local networks) and hub locations in each cluster. Intercluster traffic minimization is chosen as the clustering criterion to improve the service quality. Various constraints on the clustering are considered which reflect both the physical structures of local networks, such as the connectivity requirement, and the node compatibility relations such as community of interest or policy. Additional constraints may be imposed on the hub selection to ensure network survivability. We propose an integer programming formulation of the problem by decomposing the entire problem into a master problem and a number of column generation problems. The master problem is solved by column generation and the column generation problems by branch-and-cut. We develop and use strong cutting-planes for the cluster generation subproblems. Computational results using real data are reported.

Suggested Citation

  • Kyungchul Park & Kyungsik Lee & Sungsoo Park & Heesang Lee, 2000. "Telecommunication Node Clustering with Node Compatibility and Network Survivability Requirements," Management Science, INFORMS, vol. 46(3), pages 363-374, March.
  • Handle: RePEc:inm:ormnsc:v:46:y:2000:i:3:p:363-374
    DOI: 10.1287/mnsc.46.3.363.12066
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    References listed on IDEAS

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    1. Kyungchul Park & Seokhoon Kang & Sungsoo Park, 1996. "An Integer Programming Approach to the Bandwidth Packing Problem," Management Science, INFORMS, vol. 42(9), pages 1277-1291, September.
    2. Lee, Kyungsik & Park, Kyungchul & Park, Sungsoo & Lee, Heesang, 1998. "Economic spare capacity planning for DCS mesh-restorable networks," European Journal of Operational Research, Elsevier, vol. 110(1), pages 63-75, October.
    3. P. C. Gilmore & R. E. Gomory, 1961. "A Linear Programming Approach to the Cutting-Stock Problem," Operations Research, INFORMS, vol. 9(6), pages 849-859, December.
    4. Chung, Sung-hark & Myung, Young-soo & Tcha, Dong-wan, 1992. "Optimal design of a distributed network with a two-level hierarchical structure," European Journal of Operational Research, Elsevier, vol. 62(1), pages 105-115, October.
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    Cited by:

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    2. Marc Bollecker & Wilfrid Azan, 2008. "Les frontières de la recherche en contrôle de gestion : une analyse des cadres théoriques mobilisés," Post-Print halshs-00522395, HAL.
    3. Camacho-Collados, M. & Liberatore, F. & Angulo, J.M., 2015. "A multi-criteria Police Districting Problem for the efficient and effective design of patrol sector," European Journal of Operational Research, Elsevier, vol. 246(2), pages 674-684.
    4. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    5. Matsubayashi, Nobuo & Umezawa, Masashi & Masuda, Yasushi & Nishino, Hisakazu, 2005. "A cost allocation problem arising in hub-spoke network systems," European Journal of Operational Research, Elsevier, vol. 160(3), pages 821-838, February.
    6. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    7. Fernando Tavares-Pereira & José Figueira & Vincent Mousseau & Bernard Roy, 2007. "Multiple criteria districting problems," Annals of Operations Research, Springer, vol. 154(1), pages 69-92, October.
    8. Plastria, Frank, 2002. "Formulating logical implications in combinatorial optimisation," European Journal of Operational Research, Elsevier, vol. 140(2), pages 338-353, July.
    9. Tavares Pereira, Fernando & Figueira, José Rui & Mousseau, Vincent & Roy, Bernard, 2009. "Comparing two territory partitions in districting problems: Indices and practical issues," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 72-88, March.
    10. Emilio Carrizosa & Vanesa Guerrero & Dolores Romero Morales, 2023. "On mathematical optimization for clustering categories in contingency tables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 407-429, June.

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