Skip to main content

Approximation Bounds on the Number of Mixedcast Rounds in Wireless Ad-Hoc Networks

  • Conference paper
Combinatorial Algorithms (IWOCA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8288))

Included in the following conference series:

  • 845 Accesses

Abstract

We consider the following type of Maximum Network Lifetime problems. For a wireless network N with given capacities of node batteries, and a specification of a communication task which is to be performed periodically in N, find a maximum-size feasible collection of routing topologies for this task. Such a collection of routing topologies defines the maximum number of rounds this task can be performed before the first node in the network dies due to battery depletion. The types of communication tasks which we consider are unicast, broadcast, convergecast and mixedcast. The mixedcast is the requirement that some fixed number of tasks of the basic types (unicast, broadcast, convergecast) are periodically performed. We show that one can compute in polynomial time the number k of mixedcast rounds which is at least \(\lfloor{k_{opt}/5}\rfloor\), for the single-topology variant of the problem, and at least \(\lfloor{k_{opt}/6}\rfloor\), for the multiple-topology variant, improving the previous bounds.

Research partially supported by the EPSRC grant EP/J006300/1 ”Random walks on computer networks” and the 2012 SAMSUNG GRO project “Fast Low Cost Methods to Learn Structure of Large Networks.”

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bodlaender, H.L., Tan, R.B., van Dijk, T.C., van Leeuwen, J.: Integer maximum flow in wireless sensor networks with energy constraint. In: Gudmundsson, J. (ed.) SWAT 2008. LNCS, vol. 5124, pp. 102–113. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Clementi, A.E.F., Crescenzi, P., Penna, P., Rossi, G., Vocca, P.: On the complexity of computing minimum energy consumption broadcast subgraphs. In: Ferreira, A., Reichel, H. (eds.) STACS 2001. LNCS, vol. 2010, pp. 121–131. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  3. Deng, G., Gupta, S.K.S.: maximising broadcast tree lifetime in wireless ad hoc networks. In: GLOBECOM (2006)

    Google Scholar 

  4. Edmonds, J.: Edge-disjoint branchings. In: Rustin, B. (ed.) Combinatorial Algorithms, pp. 91–96. Academic Press (1973)

    Google Scholar 

  5. Elkin, M., Lando, Y., Nutov, Z., Segal, M., Shpungin, H.: Novel algorithms for the network lifetime problem in wireless settings. Wireless Networks 17(2), 397–410 (2011)

    Article  Google Scholar 

  6. Fürer, M., Raghavachari, B.: Approximating the minimum-degree steiner tree to within one of optimal. J. Algorithms 17(3), 409–423 (1994)

    Article  MathSciNet  Google Scholar 

  7. Gabow, H.N., Manu, K.S.: Packing algorithms for arborescences (and spanning trees) in capacitated graphs. Math. Program. 82, 83–109 (1998)

    MathSciNet  MATH  Google Scholar 

  8. Kalpakis, K., Dasgupta, K., Namjoshi, P.: Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks. Computer Networks 42(6), 697–716 (2003)

    Article  MATH  Google Scholar 

  9. Kang, I., Poovendran, R.: maximising network lifetime of broadcasting over wireless stationary ad hoc networks. MONET 10(6), 879–896 (2005)

    Google Scholar 

  10. Lee, S.-H., Radzik, T.: Improved Approximation Bounds for Maximum Lifetime Problems in Wireless Ad-Hoc Network. In: Li, X.-Y., Papavassiliou, S., Ruehrup, S. (eds.) ADHOC-NOW 2012. LNCS, vol. 7363, pp. 14–27. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  11. Liang, W.: Constructing minimum-energy broadcast trees in wireless ad hoc networks. In: MobiHoc, pp. 112–122 (2002)

    Google Scholar 

  12. Liang, W., Liu, Y.: Online data gathering for maximising network lifetime in sensor networks. IEEE Trans. Mob. Comput. 6(1), 2–11 (2007)

    Article  Google Scholar 

  13. Lin, H.C., Li, F.J., Wang, K.Y.: Constructing maximum-lifetime data gathering trees in sensor networks with data aggregation. In: ICC, pp. 1–6 (2010)

    Google Scholar 

  14. Maric, I., Yates, R.D.: Cooperative multicast for maximum network lifetime. IEEE Journal on Selected Areas in Communications 23(1), 127–135 (2005)

    Article  Google Scholar 

  15. Nutov, Z.: Approximating directed weighted-degree constrained networks. In: Goel, A., Jansen, K., Rolim, J.D.P., Rubinfeld, R. (eds.) APPROX and RANDOM 2008. LNCS, vol. 5171, pp. 219–232. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  16. Nutov, Z.: Approximating maximum integral flows in wireless sensor networks via weighted-degree constrained k-flows. In: DIALM-POMC, pp. 29–34 (2008)

    Google Scholar 

  17. Nutov, Z., Segal, M.: Improved approximation algorithms for maximum lifetime problems in wireless networks. In: Dolev, S. (ed.) ALGOSENSORS 2009. LNCS, vol. 5804, pp. 41–51. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  18. Orda, A., Yassour, B.A.: Maximum-lifetime routing algorithms for networks with omnidirectional and directional antennas. In: MobiHoc, pp. 426–437 (2005)

    Google Scholar 

  19. Park, J., Sahni, S.: Maximum lifetime broadcasting in wireless networks. In: AICCSA, p. 8. IEEE Computer Society (2005)

    Google Scholar 

  20. Segal, M.: Fast algorithm for multicast and data gathering in wireless networks. Inf. Process. Lett. 107(1), 29–33 (2008)

    Article  MATH  Google Scholar 

  21. Stanford, J., Tongngam, S.: Approximation algorithm for maximum lifetime in wireless sensor networks with data aggregation. In: SNPD, pp. 273–277 (2006)

    Google Scholar 

  22. Wan, P.J., Li, X.Y., Frieder, O.: Minimum energy cost broadcasting in wireless networks. In: Encyclopedia of Algorithms (2008)

    Google Scholar 

  23. Wieselthier, J.E., Nguyen, G.D., Ephremides, A.: On the construction of energy-efficient broadcast and multicast trees in wireless networks. In: INFOCOM, pp. 585–594 (2000)

    Google Scholar 

  24. Wu, Y., Fahmy, S., Shroff, N.B.: On the construction of a maximum-lifetime data gathering tree in sensor networks: Np-completeness and approximation algorithm. In: INFOCOM, pp. 356–360 (2008)

    Google Scholar 

  25. Zagalj, M., Hubaux, J.P., Enz, C.C.: Minimum-energy broadcast in all-wireless networks: Np-completeness and distribution issues. In: MOBICOM, pp. 172–182 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, S.H., Radzik, T. (2013). Approximation Bounds on the Number of Mixedcast Rounds in Wireless Ad-Hoc Networks. In: Lecroq, T., Mouchard, L. (eds) Combinatorial Algorithms. IWOCA 2013. Lecture Notes in Computer Science, vol 8288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45278-9_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45278-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45277-2

  • Online ISBN: 978-3-642-45278-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics