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Exploring IoT Trickle-Based Dissemination Using Timed Model-Checking and Symbolic Execution

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Networked Systems (NETYS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12129))

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Abstract

We focus on studying an IoT algorithm called Trickle using a formal model-based approach. The algorithm has an essential role in traffic regulation across distributed networks of wireless sensors which are part of IoT. The algorithm allows efficient dissemination of information such as critical applicative data, firmware upgrades or security fixes. In this paper, we develop timed asynchronous computational models for Trickle. We show how reachability properties can be assessed on such models using a combination of model-checking and symbolic execution implemented by the tools UPPAAL and DIVERSITY, respectively. Our experiments produce promising results on highlighting updated or outdated nodes situations during dissemination.

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Notes

  1. 1.

    Given a function \(h:A\rightarrow B\), a subset \(X \subset A\), the function \(h'=h[x\rightarrow y,\; x \in X]\) is defined as follows: \(h'(z)=y\) if \(z \in X\) otherwise \(h'(z)=h(z)\). In case X is a singleton of the form \(\{x\}\), we denote \(h'=h[x\rightarrow y]\) in short.

References

  1. RPL: IPv6 routing protocol for low-power and lossy networks, request for comments: 6550. Technical report, Cooper Power Systems and Cisco Systems and Stanford University, March 2012 (2012)

    Google Scholar 

  2. Alur, R., Dill, D.: A theory of timed automata. J. Theoret. Comput. Sci. 126, 183–235 (1994)

    Article  MathSciNet  Google Scholar 

  3. Arnaud, M., Bannour, B., Lapitre, A.: An illustrative use case of the DIVERSITY platform based on UML interaction scenarios. Electr. Notes Theoret. Comput. Sci. 320, 21–34 (2016)

    Article  MathSciNet  Google Scholar 

  4. Bannour, B., Escobedo, J.P., Gaston, C., Le Gall, P.: Off-line test case generation for timed symbolic model-based conformance testing. In: Nielsen, B., Weise, C. (eds.) ICTSS 2012. LNCS, vol. 7641, pp. 119–135. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34691-0_10

    Chapter  Google Scholar 

  5. Bannour, B., Lapitre, A.: Heuristic-aided symbolic simulation for trickle-based wireless sensors networks configuration. In: International Workshop on RAPIDO@HiPEAC. ACM (2020)

    Google Scholar 

  6. Barrett, C., et al.: CVC4. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 171–177. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22110-1_14

    Chapter  Google Scholar 

  7. Becker, M., Kuladinithi, K., Görg, C.: Modelling and simulating the Trickle algorithm. In: Pentikousis, K., Aguiar, R., Sargento, S., Agüero, R. (eds.) MONAMI 2011. LNICST, vol. 97, pp. 135–144. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30422-4_10

    Chapter  Google Scholar 

  8. Breza, M.J., McCann, J.A.: Lessons in implementing bio-inspired algorithms on wireless sensor networks. In: International Conference on NASA/ESA. IEEE (2008)

    Google Scholar 

  9. Chen, Z., Zhang, D., Zhu, R., Ma, Y., Yin, P., Xie, F.: A review of automated formal verification of ad hoc routing protocols for wireless sensor networks. CoRR, abs/1305.7410 (2013)

    Google Scholar 

  10. Clarke, E.M., Emerson, E.A.: Design and synthesis of synchronization skeletons using branching time temporal logic. In: Grumberg, O., Veith, H. (eds.) 25 Years of Model Checking. LNCS, vol. 5000, pp. 196–215. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69850-0_12

    Chapter  Google Scholar 

  11. Clarke, E.M., Grumberg, O., Peled, D.A.: Model Checking. MIT Press, Cambridge (2001)

    Book  Google Scholar 

  12. Coladon, T., Vucinic, M., Tourancheau, B.: Multiple redundancy constants with trickle. In: PIMRC. IEEE (2015)

    Google Scholar 

  13. de Moura, L., Bjørner, N.: Z3: an efficient SMT solver. In: Ramakrishnan, C.R., Rehof, J. (eds.) TACAS 2008. LNCS, vol. 4963, pp. 337–340. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-78800-3_24

    Chapter  Google Scholar 

  14. Dill, D.L.: Timing assumptions and verification of finite-state concurrent systems. In: Sifakis, J. (ed.) CAV 1989. LNCS, vol. 407, pp. 197–212. Springer, Heidelberg (1990). https://doi.org/10.1007/3-540-52148-8_17

    Chapter  Google Scholar 

  15. Dong, J.S., Sun, J., Sun, J., Taguchi, K., Zhang, X.: Specifying and verifying sensor networks: an experiment of formal methods. In: Liu, S., Maibaum, T., Araki, K. (eds.) ICFEM 2008. LNCS, vol. 5256, pp. 318–337. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88194-0_20

    Chapter  Google Scholar 

  16. Dunkels, A., Gronvall, B., Voigt, T.: Contiki - a lightweight and flexible operating system for tiny networked sensors. In: IEEE ICLCN (2004)

    Google Scholar 

  17. Hui, J., Kelsey, R.: Multicast protocol for low-power and lossy networks, request for comments: 7731. Technical report, Silicon Labs (2016)

    Google Scholar 

  18. King, J.C.: Symbolic execution and program testing. Commun. ACM 19, 385–394 (1976)

    Article  MathSciNet  Google Scholar 

  19. Kermajani, H.R., Gomez, C., Arshad, M.H.: Modeling the message count of the Trickle algorithm in a steady-state, static wireless sensor network. IEEE Commun. Lett. 16, 1960–1963 (2012)

    Article  Google Scholar 

  20. Kwiatkowska, M.Z., Norman, G., Parker, D.: Analysis of a gossip protocol in PRISM. SIGMETRICS Perform. Eval. Rev. 36, 17–22 (2008)

    Article  Google Scholar 

  21. Kwiatkowska, M., Norman, G., Parker, D.: PRISM 4.0: verification of probabilistic real-time systems. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 585–591. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22110-1_47

    Chapter  Google Scholar 

  22. Lee, B., Song, H.K., Suh, Y., Oh, K.H., Youn, H.Y.: Energy-efficient gossiping protocol of WSN with realtime streaming data. In: International Conference on DASC (2014)

    Google Scholar 

  23. Levis, P., Clausen, T., Hui, J., Gnawali, O., Ko, J.: The Trickle algorithm, request for comments: 6206. Technical report, March 2011 (2011)

    Google Scholar 

  24. Levis, P., et al.: TinyOS: an operating system for sensor networks. In: Weber, W., Rabaey, J.M., Aarts, E. (eds.) Ambient Intelligence. Springer, Heidelberg (2005)

    Google Scholar 

  25. Levis, P., Patel, N., Culler, D., Shenker, S.: Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In: International Symposium on NSDI. USENIX Association (2004)

    Google Scholar 

  26. Liu, Y., Sun, J., Dong, J.S.: PAT 3: an extensible architecture for building multi-domain model checkers. In: Dohi, T., Cukic, B. (eds.) International Conference on ISSRE. IEEE (2011)

    Google Scholar 

  27. Meyfroyt, T., Borst, S.C., Boxma, O.J., Denteneer, D.: On the scalability and message count of Trickle-based broadcasting schemes. Queueing Syst. 81, 203–230 (2015)

    Article  MathSciNet  Google Scholar 

  28. Meyfroyt, T.M.M.: An analytic evaluation of the Trickle algorithm: towards efficient, fair, fast and reliable data dissemination. In: WoWMoM. IEEE (2015)

    Google Scholar 

  29. Nan, X., Fei, M., Yang, T.: Randomized and efficient time synchronization in dynamic wireless sensor networks: a gossip-consensus-based approach. Complexity 2018, 1–16 (2018)

    Google Scholar 

  30. Nguyen, N.M.T., Bannour, B., Lapitre, A., Le Gall, P.: Behavioral models and scenario selection for testing IoT Trickle-based lossy multicast networks. In: International Workshop on VVIoT@ICST. IEEE (2019)

    Google Scholar 

  31. Vucinic, M., Król, M., Jonglez, B., Coladon, T., Tourancheau, B.: Trickle-D: high fairness and low transmission load with dynamic redundancy. IEEE IoT J. 4, 1477–1488 (2017)

    Google Scholar 

  32. Webster, M., Breza, M., Dixon, C., Fisher, M., McCann, J.A.: Formal verification of synchronisation, gossip and environmental effects for wireless sensor networks. In: ECEASST (2018)

    Google Scholar 

  33. Woehrle, M., Bakhshi, R., Mousavi, M.R.: Mechanized extraction of topology anti-patterns in wireless networks. In: Derrick, J., Gnesi, S., Latella, D., Treharne, H. (eds.) IFM 2012. LNCS, vol. 7321, pp. 158–173. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30729-4_12

    Chapter  Google Scholar 

  34. Zheng, M., Sun, J., Liu, Y., Dong, J.S., Gu, Yu.: Towards a model checker for NesC and wireless sensor networks. In: Qin, S., Qiu, Z. (eds.) ICFEM 2011. LNCS, vol. 6991, pp. 372–387. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24559-6_26

    Chapter  Google Scholar 

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Acknowledgment

This work was financially supported by European commission through ECSEL-JU 2018 program under grant agreement No. 826276.

Author information

Authors and Affiliations

  1. CEA LIST, Gif-sur-Yvette, France

    Boutheina Bannour & Arnault Lapitre

  2. MICS Laboratory, University of Paris-Saclay, Gif-sur-Yvette, France

    Pascale Le Gall

Authors
  1. Boutheina Bannour
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  2. Arnault Lapitre
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  3. Pascale Le Gall
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Corresponding author

Correspondence to Boutheina Bannour .

Editor information

Editors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    Chryssis Georgiou

  2. Max Planck Institute for Software Systems, Kaiserslautern, Germany

    Rupak Majumdar

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Bannour, B., Lapitre, A., Le Gall, P. (2021). Exploring IoT Trickle-Based Dissemination Using Timed Model-Checking and Symbolic Execution. In: Georgiou, C., Majumdar, R. (eds) Networked Systems. NETYS 2020. Lecture Notes in Computer Science(), vol 12129. Springer, Cham. https://doi.org/10.1007/978-3-030-67087-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-67087-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67086-3

  • Online ISBN: 978-3-030-67087-0

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