Skip to main content

A Risk-Reward Competitive Analysis for Online Routing Algorithms in Delay Tolerant Networks

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7469))

Abstract

Delay Tolerant Networks (DTNs) suffer from frequent disruptions and partitioning. Because of dynamic environment and lack of knowledge about the whole network topology, routing is quiet challenging in DTNs. Prediction based algorithms in DTNs are able to predict nodes future contacts in the case where each node has a movement model. In this paper we suppose that a new node is added to the network which is about to send messages to a destination node and has no knowledge about the upcoming contacts. Deciding about the next node to forward the messages to, is an online problem. We are going to analyze a greedy forwarding strategy using competitive analysis and also propose a risk-reward analysis framework for the risky version of the algorithm and obtain risk and reward values for different forecasts. Risk-reward analysis can be used to develop better forwarding strategies which decide about the next hops more wisely.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Acer, U.G., Kalyanaraman, S., et al.: DTN routing using explicit and probabilistic routing table states. Wireless Networks 17(5), 1305–1321 (2011)

    Article  Google Scholar 

  2. Yuan, Q., Cardei, I., et al.: Predict and relay: an efficient routing in disruption-tolerant networks. ACM (2009)

    Google Scholar 

  3. Al-Binali, S.: A Risk-Reward Framework for the Competitive Analysis of Financial Games. Algorithmica 25(1), 99–115 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  4. Vahdat, A., Becker, D.: Epidemic routing for partially connected ad hoc networks, Technical Report CS-200006, Duke University (2000)

    Google Scholar 

  5. Acer, U.G., Kalyanaraman, S., et al.: Weak state routing for large-scale dynamic networks. IEEE/ACM Transactions on Networking (TON) 18(5), 1450–1463 (2010)

    Article  Google Scholar 

  6. Lindgren, A., Doria, A., et al.: Probabilistic routing in intermittently connected networks. ACM SIGMOBILE Mobile Computing and Communications Review 7(3), 19–20 (2003)

    Article  Google Scholar 

  7. Sleator, D.D., Tarjan, R.E.: Amortized efficiency of list update and paging rules. Communications of the ACM 28(2), 202–208 (1985)

    Article  MathSciNet  Google Scholar 

  8. Xu, Y., Hu, M., et al.: The canadian traveller problem and its competitive analysis. Journal of Combinatorial Optimization 18(2), 195–205 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Krumke, S.O.: Online optimization: Competitive analysis and beyond. Habilitation Thesis, Technical University of Berlin (2001)

    Google Scholar 

  10. Zhang, G., Xu, Y.: A Risk-Reward Competitive Analysis for the Newsboy Problem with Range Information. In: Du, D.-Z., Hu, X., Pardalos, P.M. (eds.) COCOA 2009. LNCS, vol. 5573, pp. 334–345. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Su, B., Xu, Y., Xiao, P., Tian, L.: A Risk-Reward Competitive Analysis for the Recoverable Canadian Traveller Problem. In: Yang, B., Du, D.-Z., Wang, C.A. (eds.) COCOA 2008. LNCS, vol. 5165, pp. 417–426. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  12. Ding, L., Xin, C., Chen, J.: A Risk-Reward Competitive Analysis of the Bahncard Problem. In: Megiddo, N., Xu, Y., Zhu, B. (eds.) AAIM 2005. LNCS, vol. 3521, pp. 37–45. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Burgess, J., Gallagher, B., et al.: Maxprop: Routing for vehicle-based disruption-tolerant networks, Barcelona, Spain (2006)

    Google Scholar 

  14. Zhang, Z.: Routing in intermittently connected mobile ad hoc networks and delay tolerant networks: overview and challenges. IEEE Communications Surveys Tutorials 8(1), 24–37 (2006)

    Article  Google Scholar 

  15. Kurhinen, J., Janatuinen, J.: Delay Tolerant Routing In Sparse Vehicular Ad Hoc Networks. Acta Electrotechnica et Informatica 8(3), 7–13 (2008)

    Google Scholar 

  16. Wisitpongphan, N., Bai, F., et al.: Routing in sparse vehicular ad hoc wireless networks. IEEE Journal on Selected Areas in Communications 25(8), 1538–1556 (2007)

    Article  Google Scholar 

  17. Johnson, D.B., Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. Mobile Computing, 153–181 (1996)

    Google Scholar 

  18. Perkins, C.E., Royer, E.M.: Ad-hoc on-demand distance vector routing. IEEE (1999)

    Google Scholar 

  19. Borodin, A., El-Yaniv, R.: Online computation and competitive analysis. Cambridge University Press (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mirzazad Barijough, M., Yazdani, N., Tavangarian, D., Daher, R., Khani, H. (2012). A Risk-Reward Competitive Analysis for Online Routing Algorithms in Delay Tolerant Networks. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2012 2012. Lecture Notes in Computer Science, vol 7469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32686-8_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32686-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32685-1

  • Online ISBN: 978-3-642-32686-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics