Skip to main content

Constrained Wireless Network Planning

  • Conference paper
  • First Online:
Book cover Innovations for Community Services (I4CS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 717))

Included in the following conference series:

Abstract

In this paper we define the Constrained Wireless Network Planning problem. Given is an orientation of access points which, if supplied with network connectivity, is able to provide a required level of coverage to clients. The goal is to find a division of these access points in source locations and repeater locations such that each of the access points is provided with network connectivity, while not all need to be directly connected to an existing network. The origin of the constraints in this problem are threefold. First, there is a restriction on the allowed distance between a source and a repeater location. Second, there is a restriction on the number of repeaters which may be provided with network connectivity by a source. Third, a repeater location may not provide another location with network connectivity. In this paper we propose an Iterated Local Search procedure to solve this problem. We apply this procedure to a problem arising in the field of multi-service planning in Smart Cities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ahuja, R.K., Orlin, J.B., Pallottino, S., Scaparra, M.P., Scutellà, M.G.: A multi-exchange heuristic for the single-source capacitated facility location problem. Manag. Sci. 50(6), 749–760 (2004)

    Article  MATH  Google Scholar 

  2. Barceló, J., Casanovas, J.: A heuristic lagrangean algorithm for the capacitated plant location problem. Eur. J. Oper. Res. 15(2), 212–226 (1984)

    Article  MATH  Google Scholar 

  3. Beasley, J.E.: Lagrangean heuristics for location problems. Eur. J. Oper. Res. 65(3), 383–399 (1993)

    Article  MATH  Google Scholar 

  4. Boussaïd, I., Lepagnot, J., Siarry, P.: A survey on optimization metaheuristics. Inf. Sci. 237, 82–117 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  5. Černỳ, V.: Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J. Optim. Theory Appl. 45(1), 41–51 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  6. Chen, C.H., Ting, C.J.: Combining lagrangian heuristic and ant colony system to solve the single source capacitated facility location problem. Transp. Res. Part E: Logist. Transp. Rev. 44(6), 1099–1122 (2008)

    Article  Google Scholar 

  7. Chuzhoy, J., Naor, J.: Covering problems with hard capacities. SIAM J. Comput. 36(2), 498–515 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. Contreras, I.A., Díaz, J.A.: Scatter search for the single source capacitated facility location problem. Ann. Oper. Res. 157(1), 73–89 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  9. Diaz, J., Fernández, E.: A branch-and-price algorithm for the single source capacitated plant location problem. J. Oper. Res. Soc. 53(7), 728–740 (2002)

    Article  MATH  Google Scholar 

  10. Feo, T.A., Resende, M.G.: A probabilistic heuristic for a computationally difficult set covering problem. Oper. Res. Lett. 8(2), 67–71 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  11. Feo, T.A., Resende, M.G.: Greedy randomized adaptive search procedures. J. Global Optim. 6(2), 109–133 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  12. Fisher, M.L., Jaikumar, R., Van Wassenhove, L.N.: A multiplier adjustment method for the generalized assignment problem. Manag. Sci. 32(9), 1095–1103 (1986)

    Article  MATH  Google Scholar 

  13. Gandhi, R., Halperin, E., Khuller, S., Kortsarz, G., Srinivasan, A.: An improved approximation algorithm for vertex cover with hard capacities. J. Comput. Syst. Sci. 72(1), 16–33 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  14. Gandhi, R., Khuller, S., Parthasarathy, S., Srinivasan, A.: Dependent rounding in bipartite graphs. In: Proceedings of the 43rd Annual IEEE Symposium on Foundations of Computer Science, pp. 323–332. IEEE (2002)

    Google Scholar 

  15. Guastaroba, G., Speranza, M.G.: A heuristic for bilp problems: the single source capacitated facility location problem. Eur. J. Oper. Res. 238(2), 438–450 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  16. Guha, S., Hassin, R., Khuller, S., Or, E.: Capacitated vertex covering. J. Algorithms 48(1), 257–270 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  17. Hindi, K., Pieńkosz, K.: Efficient solution of large scale, single-source, capacitated plant location problems. J. Oper. Res. Soc. 50(3), 268–274 (1999)

    Article  MATH  Google Scholar 

  18. Ho, S.C.: An iterated tabu search heuristic for the single source capacitated facility location problem. Appl. Soft Comput. 27, 169–178 (2015)

    Article  Google Scholar 

  19. Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. U Michigan Press, Ann Arbor (1975)

    MATH  Google Scholar 

  20. Holmberg, K., Rönnqvist, M., Yuan, D.: An exact algorithm for the capacitated facility location problems with single sourcing. Eur. J. Oper. Res. 113(3), 544–559 (1999)

    Article  MATH  Google Scholar 

  21. Kirkpatrick, S.: Optimization by simulated annealing: quantitative studies. J. Stat. Phys. 34(5–6), 975–986 (1984)

    Article  MathSciNet  Google Scholar 

  22. Klincewicz, J.G., Luss, H.: A lagrangian relaxation heuristic for capacitated facility location with single-source constraints. J. Oper. Res. Soc. 37(5), 495–500 (1986)

    Article  MATH  Google Scholar 

  23. Lourenço, H.R., Martin, O.C., Stützle, T.: Iterated local search. In: Glover, F., Kochenberger, G.A. (eds.) Handbook of Metaheuristics, pp. 320–353. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  24. Michael, R.G., David, S.J.: Computers and Intractability: A Guide to the Theory of NP-Completeness. WH Free. Co., San Francisco (1979)

    MATH  Google Scholar 

  25. Murata, T., Ishibuchi, H., Tanaka, H.: Genetic algorithms for flowshop scheduling problems. Comput. Ind. Eng. 30(4), 1061–1071 (1996)

    Article  Google Scholar 

  26. Vos, T.J., Phillipson, F.: Dense multi-service planning in smart cities (2017, under review)

    Google Scholar 

  27. Yang, Z., Chu, F., Chen, H.: A cut-and-solve based algorithm for the single-source capacitated facility location problem. Eur. J. Oper. Res. 221(3), 521–532 (2012)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Frank Phillipson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Vos, T.J.C., Phillipson, F. (2017). Constrained Wireless Network Planning. In: Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2017. Communications in Computer and Information Science, vol 717. Springer, Cham. https://doi.org/10.1007/978-3-319-60447-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60447-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60446-6

  • Online ISBN: 978-3-319-60447-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics