Skip to main content
SpringerLink
Log in

Statistical Model Checking of Wireless Mesh Routing Protocols

  • Conference paper
NASA Formal Methods (NFM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7871))

Included in the following conference series:

Abstract

Several case studies indicate that model checking is limited in the analysis of mesh networks: state space explosion restricts applicability to at most 10 node networks, and quantitative reasoning, often sufficient for network evaluation, is not possible. Both deficiencies can be overcome to some extent by the use of statistical model checkers, such as SMC-Uppaal. In this paper we illustrate this by a quantitative analysis of two well-known routing protocols for wireless mesh networks, namely AODV and DYMO. Moreover, we push the limits and show that this technology is capable of analysing networks of up to 100 nodes.

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

Access this chapter

Log in via an institution
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. Amin, M., Abrar, M., Khan, Z.U., Andusalam, Rizwan, S.: Comparison of OLSR & DYMO routing protocols on the basis of different performance metrics in mobile ad-hoc networks. American Journal of Scientific Research (2011)

    Google Scholar 

  2. Bhargavan, K., Obradovic, D., Gunter, C.: Formal verification of standards for distance vector routing protocols. J. ACM 49(4), 538–576 (2002)

    Article  MathSciNet  Google Scholar 

  3. Bulychev, P., David, A., Larsen, K.G., Legay, A., Mikučionis, M., Bøgsted Poulsen, D.: Checking and distributing statistical model checking. In: Goodloe, A.E., Person, S. (eds.) NFM 2012. LNCS, vol. 7226, pp. 449–463. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  4. Bulychev, P., David, A., Larsen, K., Mikučionis, M., Bøgsted Poulsen, D., Legay, A., Wang, Z.: UPPAAL-SMC: Statistical model checking for priced timed automata. In: Wiklicky, H., Massink, M. (eds.) Quantitative Aspects of Programming Languages and Systems. EPTCS, vol. 85, pp. 1–16. Open Publishing Association (2012)

    Google Scholar 

  5. Chiyangwa, S., Kwiatkowska, M.: A timing analysis of AODV. In: Steffen, M., Zavattaro, G. (eds.) FMOODS 2005. LNCS, vol. 3535, pp. 306–321. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Edenhofer, S., Höfner, P.: Towards a rigorous analysis of AODVv2 (DYMO). In: Rigorous Protocol Engineering (W-RiPE 2012). IEEE Press (2012)

    Google Scholar 

  7. Espensen, K.L., Kjeldsen, M.K., Kristensen, L.M.: Modelling and initial validation of the DYMO routing protocol for mobile ad-hoc networks. In: van Hee, K.M., Valk, R. (eds.) PETRI NETS 2008. LNCS, vol. 5062, pp. 152–170. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Fehnker, A., van Glabbeek, R., Höfner, P., McIver, A., Portmann, M., Tan, W.L.: Automated analysis of AODV using UPPAAL. In: Flanagan, C., König, B. (eds.) TACAS 2012. LNCS, vol. 7214, pp. 173–187. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. van Glabbeek, R.J., Höfner, P., Tan, W.L., Portmann, M.: Sequence numbers do not guarantee loop freedom—AODV can yield routing loops (2012), http://rvg.web.cse.unsw.edu.au/pub/AODVloop.pdf

  10. Johnson, D., Lysko, A.: Comparison of MANET routing protocols using a scaled indoor wireless grid. Mob. Netw. Appl. 13(1-2), 82–96 (2008)

    Article  Google Scholar 

  11. Kum, D.W., Park, J.S., Cho, Y.Z., Cheon, B.Y.: Performance evaluation of AODV and DYMO routing protocols in MANET. In: Consumer Communications and Networking Conference (CCNC 2010), pp. 1046–1047. IEEE Press (2010)

    Google Scholar 

  12. Milic, B., Malek, M.: NPART—node placement algorithm for realistic topologies in wireless multihop network simulation. In: Simulation Tools and Techniques (Simutools 2009), pp. 9:1–9:10. ICST (2009)

    Google Scholar 

  13. Miskovic, S., Knightly, E.: Routing primitives for wireless mesh networks: Design, analysis and experiments. In: Conference on Information communications (INFOCOM 2010), pp. 2793–2801. IEEE Press (2010)

    Google Scholar 

  14. Perkins, C., Belding-Royer, E., Das, S.: Ad hoc on-demand distance vector (AODV) routing. RFC 3561 (Experimental) (2003), http://www.ietf.org/rfc/rfc3561

  15. Perkins, C., Chakeres, I.: Dynamic MANET on-demand (AODVv2) routing. IETF Internet Draft (Work in Progress) (March 2012), http://tools.ietf.org/html/draft-ietf-manet-dymo-22

  16. R Core Team: R: A Language and Environment for Statistical Computing (2012), http://www.R-project.org

  17. Saleem, M., Khayam, S.A., Farooq, M.: On performance modeling of ad hoc routing protocols. EURASIP J. Wirel. Commun. Netw. 2010, 31:1–31:13 (2010)

    Google Scholar 

  18. Schuts, M., Zhu, F., Heidarian, F., Vaandrager, F.: Modelling clock synchronization in the Chess gMAC WSN protocol. In: Andova, S., McIver, A., D’Argenio, P., Cuijpers, P., Markovski, J., Morgan, C., Núñez, M. (eds.) Quantitative Formal Methods: Theory and Applications (QFM 2009). EPTCS, vol. 13, pp. 41–54 (2009)

    Google Scholar 

  19. Sen, K., Viswanathan, M., Agha, G.A.: Vesta: A statistical model-checker and analyzer for probabilistic systems. In: Quantitative Evaluaiton of Systems (QEST 2005), pp. 251–252. IEEE Press (2005)

    Google Scholar 

  20. Younes, H.: Verification and Planning for Stochastic Processes with Asynchronous Events. Ph.D. thesis, Carnegie Mellon University (2004)

    Google Scholar 

  21. Zave, P.: Using lightweight modeling to understand CHORD. SIGCOMM Comput. Commun. Rev. 42(2), 49–57 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. NICTA, Australia

    Peter Höfner & Annabelle McIver

  2. Department of Computing, Macquarie University, Australia

    Annabelle McIver

  3. Computer Science and Engineering, University of New South Wales, Australia

    Peter Höfner

Authors
  1. Peter Höfner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Annabelle McIver
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. NASA Ames Research Center, M/S 269-2, Moffett Field, 94035-0001, CA, USA

    Guillaume Brat

  2. Stinger Ghaffarian Technologies Inc., NASA Ames Research Center, M/S 269-2, Moffett Field, 94035-0001, CA, USA

    Neha Rungta

  3. NASA Ames Research Center, Carnegie Mellon University, M/S 269-2, Moffett Field, 94035-0001, CA, USA

    Arnaud Venet

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Höfner, P., McIver, A. (2013). Statistical Model Checking of Wireless Mesh Routing Protocols. In: Brat, G., Rungta, N., Venet, A. (eds) NASA Formal Methods. NFM 2013. Lecture Notes in Computer Science, vol 7871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38088-4_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38088-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38087-7

  • Online ISBN: 978-3-642-38088-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation