Skip to main content

Modelling and Simulation Analysis of Some Routing Schemes for Mobile Opportunistic Networks

  • Conference paper
Computer Networks (CN 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 431))

Included in the following conference series:

  • 1127 Accesses

Abstract

Opportunistic networking explores the data transmission of small mobile devices such as mobile phones, Personal Digital Assistants (PDAs), etc. Performance modelling and simulation analysis of these networks is an essential ingredient of opportunistic network research. In this paper, the modelling of two classes of routing protocols – context-oblivious and context-aware – is considered. The main performance measured are derived for both classes of opportunistic routing protocols. The simulation results show that the model is a promising framework for mobile opportunistic 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. Pelusi, L., Passarella, A., Conti, M.: Opportunistic Networking: Data Forwarding in Disconnected Mobile Ad Hoc Networks. IEEE Communication Magazine 44(11), 134–141 (2006)

    Article  Google Scholar 

  2. Martyna, J.: Performance Modeling of Opportunistic Networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2013. CCIS, vol. 370, pp. 240–251. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  3. Farell, S., Cahill, V.: Delay- and Disruption-Tolerant Networking. Artech House, London (2006)

    Google Scholar 

  4. GroupPR (2007), http://prisms.cs.umass.edu/dome/umassdieselnet

  5. Han, Z., Swindleburst, A., Liu, K.: Optimization of MANET Connectivity via Smart Deployment/Movement of Unmanned Air Vehicles. IEEE Trans. on Vehicular Technology 58(7), 3533–3546 (2009)

    Article  Google Scholar 

  6. Jain, S., Fall, K., Patra, R.: Routing in a Delay Tolerant Network. In: Proc. of the 2004 ACM Conf. on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM), pp. 145–158. ACM, New York (2004)

    Google Scholar 

  7. Vahdat, A., Becker, D.: Epidemic Routing for Partially Connected Ad Hoc Networks. Technical Report CS-2000-06, Computer Science Department, Duke University (2000)

    Google Scholar 

  8. Zhang, X., Neglia, G., Kurose, J., Towsley, D.: Performance Modeling of Epidemic Routing. Computer Networks 51(10), 2867–2891 (2007)

    Article  MATH  Google Scholar 

  9. Groenevelt, R., Nain, P., Koole, G.: The Message Delay in Mobile Ad Hoc Networks. Performance Evaluation 62, 210–228 (2005)

    Article  Google Scholar 

  10. Liu, B., Bras, P., Dousse, O., Nain, P., Towsley, D.: Mobility Improves Coverage of Sensor Networks. In: Proc. of the ACM Int. Conf. on Mobile Ad Hoc Networking and Computing (MobiHoc), pp. 300–308 (2005)

    Google Scholar 

  11. Small, T., Haas, Z.: The Shared Wireless Infostation Model – A New Ad Hoc Networking Paradigm (Or Where There is a Whale, There is a Way). In: Proc. of ACM MobiHoc, pp. 233–244 (2003)

    Google Scholar 

  12. Albert, R., Barbasi, A.: Statistical Mechanics of Complex Networks. Review of Modern Physics 74(1), 47–97 (2002)

    Article  MATH  Google Scholar 

  13. Papoulis, A.: Probability, Random Variables, and Stochastic Processes, 3rd edn. McGraw-Hill, New York (1991)

    Google Scholar 

  14. Liang, B., Haas, Z.: Predictive Distance-based Mobility Management for PCS Networks. In: Proc. of the INFOCOM 1999, vol. 3, pp. 1377–1384 (1999)

    Google Scholar 

  15. Deza, M.M., Deza, E.: Encyclopedia of Distances. Springer, Berlin (2009)

    Book  MATH  Google Scholar 

  16. Keränen, A., Ott, J., Kärkkäinen, T.: The ONE Simulator for DTN Protocol Evaluation. In: Proc. of the 2nd International Conference on Simulation Tools and Techniques (SIMUTools), pp. 1–10 (2009)

    Google Scholar 

  17. The ONE (Opportunistic Network Environment Simulator) (2014), http://www.netlab.tkk.fi/tutkimus/dtn/theone/

  18. Spyropoulus, T., Psounis, K., Baghavendra, C.S.: Efficient Routing in Intermittently Connected Mobile Networks: The Multiple-copy Case. IEEE/ACM Trans. on Networking (TON) 16(1), 77–90 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Martyna, J. (2014). Modelling and Simulation Analysis of Some Routing Schemes for Mobile Opportunistic Networks. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2014. Communications in Computer and Information Science, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-319-07941-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07941-7_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07940-0

  • Online ISBN: 978-3-319-07941-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics