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Analysis of the Network Attachment Delay of Mobile Devices in the Industrial Internet of Things

  • Rodrigo Teles HermetoEmail author
  • Quentin Bramas
  • Antoine Gallais
  • Fabrice Théoleyre
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11803)

Abstract

Industrial networks are typically used to monitor safety-related processes where high reliability and an upper bounded latency are crucial. Because of its flexibility, wireless is more and more popular, even for real-time applications. Because radio transmissions are known to be lossy, deterministic protocols have been proposed, to schedule carefully the transmissions to avoid collisions. In parallel, industrial environments now integrate mobile industrial robots to enable the Industry 4.0. Thus, the challenge consists in handling a set of mobile devices inside a static wireless network infrastructure. A mobile robot has to join the network before being able to communicate. Here, we analyze this attachment delay, comprising both the synchronization and the negotiation of dedicated cells. In particular, since the control frames (EB and 6P) have a strong impact on the convergence, our proposed model carefully integrates the collision probability of these packets. We validate the accuracy of our model, and we analyze the impact of the different EB transmission policies on the discovery delay. Our performance evaluation demonstrates the interest of using efficiently the radio resources for beacons to handle these mobiles devices.

References

  1. 1.
    Duquennoy, S., Al Nahas, B., Landsiedel, O., Watteyne, T.: Orchestra: robust mesh networks through autonomously scheduled TSCH. In: SenSys, pp. 337–350. ACM (2015)Google Scholar
  2. 2.
    Hermeto, R.T., Gallais, A., Theoleyre, F.: Scheduling for IEEE 802.15.4-TSCH and slow channel hopping MAC in low power industrial wireless networks: a survey. Comput. Commun. 114, 84–105 (2017)Google Scholar
  3. 3.
    Silva, R., Silva, J.S., Boavida, F.: Infrastructure-supported mobility in wireless sensor networks – a case study. In: IEEE International Conference on Industrial Technology (ICIT), pp. 1895–1900, March 2015Google Scholar
  4. 4.
    Sthapit, P., Choi, Y.-S., Kwon, G.-R., Hwang, S.S., Pyun, J.Y.: A fast association scheme over IEEE 802.15. 4 based mobile sensor network. In: Proceedings of ICWMC (2013)Google Scholar
  5. 5.
    Al-Nidawi, Y., Kemp, A.H.: Mobility aware framework for timeslotted channel hopping IEEE 802.15.4e sensor networks. IEEE Sens. J. 15(12), 7112–7125 (2015)CrossRefGoogle Scholar
  6. 6.
    Dezfouli, B., Radi, M., Chipara, O.: Real-time communication in low-power mobile wireless networks. In: 13th IEEE Annual Consumer Communications Networking Conference (CCNC), pp. 680–686, January 2016Google Scholar
  7. 7.
    Karowski, N., Viana, A.C., Wolisz, A.: Optimized asynchronous multichannel discovery of IEEE 802.15.4-based wireless personal area networks. IEEE Trans. Mob. Comput. 12(10), 1972–1985 (2013)CrossRefGoogle Scholar
  8. 8.
    Theoleyre, F., Papadopoulos, G.Z.: Experimental validation of a distributed self-configured 6TiSCH with traffic isolation in low power lossy networks. In: International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), pp. 102–110. ACM (2016)Google Scholar
  9. 9.
    IEEE Standard for Low-Rate Wireless Networks. IEEE Std 802.15.4-2015 (Revision of IEEE Std 802.15.4-2011), April 2016Google Scholar
  10. 10.
    Wang, Q., Vilajosana, X., Watteyne, T.: 6top Protocol (6P). draft, IETF, October 2017. draft-ietf-6tisch-6top-protocol-09Google Scholar
  11. 11.
    Dujovne, D., Grieco, L.A., Palattella, M.R., Accettura, N.: 6TiSCH 6top Scheduling Function Zero (SF0). Internet-draft, IETF, 2016. draft-ietf-6tisch-6top-sf0-00Google Scholar
  12. 12.
    Tinka, A., Watteyne, T., Pister, K.S.J., Bayen, A.M.: A decentralized scheduling algorithm for time synchronized channel hopping. EAI Endorsed Trans. Mob. Commun. Appl. 1(1), 201–216 (2011)Google Scholar
  13. 13.
    Vahabi, M., Faragardi, H.R., Fotouhi, H.: An analytical model for deploying mobile sinks in industrial Internet of Things. In: IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 155–160, April 2018Google Scholar
  14. 14.
    Vogli, E., Ribezzo, G., Grieco, L.A., Boggia, G. Fast network joining algorithms in industrial IEEE 802.15.4 deployments. Ad Hoc Netw. 69, 65–75 (2018)CrossRefGoogle Scholar
  15. 15.
    Zou, M., Lu, J.-L., Yang, F., Malaspina, M., Theoleyre, F., Wu, M.-Y.: Distributed scheduling of enhanced beacons for IEEE802.15.4-TSCH body area networks. In: Mitton, N., Loscri, V., Mouradian, A. (eds.) ADHOC-NOW 2016. LNCS, vol. 9724, pp. 3–16. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-40509-4_1CrossRefGoogle Scholar
  16. 16.
    De Guglielmo, D., Brienza, S., Anastasi, G.: A model-based Beacon Scheduling algorithm for IEEE 802.15.4e TSCH networks. In: International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–9. IEEE, June 2016Google Scholar
  17. 17.
    Karalis, A., Zorbas, D., Douligeris, C.: Collision-free broadcast methods for IEEE 802.15.4-TSCH networks formation. In: International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), pp. 91–98. ACM (2018)Google Scholar
  18. 18.
    Haxhibeqiri, J., Karaağaç, A., Moerman, I. and Hoebeke, J.: Seamless roaming and guaranteed communication using a synchronized single-hop multi-gateway 802.15. 4e TSCH network. Ad Hoc Netw. 86, 1–14 (2019)CrossRefGoogle Scholar
  19. 19.
    Watteyne, T., et al.: OpenWSN: a standards-based low-power wireless development environment. Trans. Emerg. Telecommun. Technol. 23(5), 480–493 (2012) CrossRefGoogle Scholar
  20. 20.
    Chang, T., Vucinic, M., Vilajosana, X., Duquennoy, S., Dujovne, D.: 6TiSCH Minimal Scheduling Function (MSF). Internet-draft, IETF, April 2019. draft-chang-6tisch-msf-03Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.ICube Laboratory, CNRS, University of StrasbourgStrasbourgFrance
  2. 2.FUN (Self-organizing Future Ubiquitous Network) Inria Lille - Nord EuropeLilleFrance

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