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Solving the Connected Dominating Set Problem and Power Dominating Set Problem by Integer Programming

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7402))

Abstract

In this paper, we propose several integer programming approaches with a polynomial number of constraints to formulate and solve the minimum connected dominating set problem. Further, we consider both the power dominating set problem – a special dominating set problem for sensor placement in power systems – and its connected version. We propose formulations and algorithms to solve these integer programs, and report results for several power system graphs.

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References

  1. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman & Co., New York (1979)

    MATH  Google Scholar 

  2. Cheng, X., Huang, X., Li, D., Wu, W., Du, D.-Z.: A polynomial-time approximation scheme for the minimum-connected dominating set in ad hoc wireless networks. Networks 42(4), 202–208 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  3. Li, Y., Thai, M.T., Wang, F., Yi, C.W., Wan, P.J., Du, D.-Z.: On greedy construction of connected dominating sets in wireless networks. Wirel. Commun. Mob. Comp. 5, 927–932 (2005)

    Article  Google Scholar 

  4. Zhu, X., Yu, J., Lee, W., Kim, D., Shan, S., Du, D.-Z.: New dominating sets in social networks. J. Global Optim. 48(4), 633–642 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Wu, W., Gao, X., Pardalos, P.M., Du, D.-Z.: Wireless networking, dominating and packing. Optim. Lett. 4(3), 347–358 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  6. Ding, L., Gao, X., Wu, W., Lee, W., Zhu, X., Du, D.-Z.: An exact algorithm for minimum CDS with shortest path constraint in wireless networks. Optim. Lett. 5(2), 297–306 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  7. Thai, M.T., Du, D.-Z.: Connected dominating sets in disk graphs with bidirectional links. IEEE Commun. Lett. 10(3), 138–140 (2006)

    Article  Google Scholar 

  8. Kim, D., Zhang, Z., Li, X., Wang, W., Wu, W., Du, D.-Z.: A better approximation algorithm for computing connected dominating sets in unit ball graphs. IEEE Trans. Mob. Comp. 9(8), 1108–1118 (2010)

    Article  Google Scholar 

  9. Blum, J., Ding, M., Thaeler, A., Cheng, X.: Connected dominating set in sensor networks and MANET. In: Du, D.-Z., Pardalos, P. (eds.) Handbook of Combinatorial Optimization, pp. 329–369 (2004)

    Google Scholar 

  10. Liu, Z., Wang, B., Guo, L.: A Survey on connected dominating set construction algorithm for wireless sensor networks. Informa. Technol. J. 9, 1081–1092 (2010)

    Article  Google Scholar 

  11. Mnif, K., Rong, B., Kadoch, M.: Virtual backbone based on mcds for topology control in wireless ad hoc networks. In: Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, Quebec, Canada (2005)

    Google Scholar 

  12. Yuan, D.: Energy-efficient broadcasting in wireless ad hoc networks: performance benchmarking and distributed algorithms based on network connectivity characterization. In: Proceedings of MSWiM, Quebec, Canada (2005)

    Google Scholar 

  13. Morgan, M.J., Grout, V.: Finding optimal solutions to backbone minimisation problems using mixed integer programming. In: Proceedings of the Seventh International Network Conference (INC 2008), Boston, MA, pp. 53–63 (2008)

    Google Scholar 

  14. Wightman, P.M., Fabregasy, A., Labradorz, M.A.: An optimal solution to the MCDS problem for topology construction in wireless sensor networks. In: 2010 IEEE Latin-American Conference on Communications (LATINCOM), Belem, Brazil (2010)

    Google Scholar 

  15. Simonetti, L., da Cunha, A.S., Lucena, A.: The Minimum Connected Dominating Set Problem: Formulation, Valid Inequalities and a Branch-and-Cut Algorithm. In: Pahl, J., Reiners, T., Voß, S. (eds.) INOC 2011. LNCS, vol. 6701, pp. 162–169. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  16. Pop, P.C.: A survey of different integer programming formulations of the generalized minimum spanning tree problem. Carpathian J. Mathematics 25(1), 104–118 (2009)

    MATH  Google Scholar 

  17. Haynes, T.W., Hedetniemi, S.M., Hedetniemi, S.T., Henning, M.A.: Domination in graphs applied to electric power networks. SIAM J. Disc. Math. 15, 519–529 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  18. Aminifar, F., Khodaei, A., Fotuhi-Firuzabad, M., Shahidehpour, M.: Contingency-constrained PMU placement in power networks. IEEE Trans. Power Syst. 25, 516–523 (2010)

    Article  Google Scholar 

  19. Aazami, A.: Domination in graphs with bounded progagation: algorithms, formulations and hardness results. J. Comb. Optim. 19, 429–456 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  20. Miller, C.E., Tucker, A.W., Zemlin, R.A.: Integer programming formulation of traveling salesman problems. J. Assoc. Comp. Mach. 7, 326–329 (1960)

    Article  MathSciNet  MATH  Google Scholar 

  21. Quintao, F.R., da Cunha, A.S., Mateus, G.R., Lucena, A.: The k-cardinality tree problem: reformulations and lagrangian relaxation. Disc. Appl. Math. 158, 1305–1314 (2010)

    Article  MATH  Google Scholar 

  22. Desrochers, M., Gilbert, L.: Improvements and extensions to the Miller-Tucker-Zemlin subtour elimination constraints. Oper. Res. Lett. 10, 27–36 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  23. Martin, R.K.: Using separation algorithms to generate mixed integer model reformulations. Oper. Res. Lett. 10, 119–128 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  24. Yannakakis, M.: Expressing combinatorial optimization problems by linear programs. J. Comp. Syst. Sci. 43(3), 441–466 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  25. Conforti, M., Cornuéjols, G., Zambelli, G.: Extended formulations in combinatorial optimization. 4OR (8), 1–48 (2010)

    Google Scholar 

  26. Kaibel, V., Pashkovich, K., Theis, D.O.: Symmetry Matters for the Sizes of Extended Formulations. In: Eisenbrand, F., Shepherd, F.B. (eds.) IPCO 2010. LNCS, vol. 6080, pp. 135–148. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  27. Dilkina, B., Gomes, C.P.: Solving Connected Subgraph Problems in Wildlife Conservation. In: Lodi, A., Milano, M., Toth, P. (eds.) CPAIOR 2010. LNCS, vol. 6140, pp. 102–116. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  28. IEEE reliability test data (2012), http://www.ee.washington.edu/research/pstca/

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Fan, N., Watson, JP. (2012). Solving the Connected Dominating Set Problem and Power Dominating Set Problem by Integer Programming. In: Lin, G. (eds) Combinatorial Optimization and Applications. COCOA 2012. Lecture Notes in Computer Science, vol 7402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31770-5_33

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  • DOI: https://doi.org/10.1007/978-3-642-31770-5_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31769-9

  • Online ISBN: 978-3-642-31770-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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