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Experimental Validation of a Distributed Self-Configured 6TiSCH with Traffic Isolation in Low Power Lossy Networks

Published:13 November 2016Publication History

ABSTRACT

Time Slotted Channel Hopping (TSCH) is among the proposed Medium Access Control (MAC) layer protocols of the IEEE 802.15.4-2015 standard for low-power wireless communications in Internet of Things (IoT). TSCH aims to guarantee high network reliability by exploiting channel hopping and keeping the nodes time-synchronized at the MAC layer. In this paper, we focus on the traffic isolation issue, where several clients and applications may cohabit under the same wireless infrastructure without impacting each other. To this end, we present an autonomous version of 6TiSCH where each device uses only local information to select their timeslots. Moreover, we exploit 6TiSCH tracks to guarantee flow isolation, defining the concept of shared (best-effort) and dedicated (isolated) tracks. Our thorough experimental performance evaluation campaign, conducted over the open and large scale FIT IoT-LAB testbed (by employing the OpenWSN), highlight the interest of this solution to provide reliability and low delay while not relying on any centralized component.

References

  1. Luigi Atzori, Antonio Iera, and Giacomo Morabito. The internet of things: A survey. Computer Networks, 54(15):2787 -- 2805, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yi Zhi Zhao et al. A Survey and Projection on Medium Access Control Protocols for Wireless Sensor Networks. ACM Computer Surveys, 45(1):7:1--7:37, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. G. Gaillard, D. Barthel, F. Theoleyre, and F. Valois. Service level agreements for wireless sensor networks: A wsn operator's point of view. In Network Operations and Management Symposium (NOMS). IEEE, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  4. IEEE Standard for Low-Rate Wireless Personal Area Networks (LR-WPANs). IEEE Std 802.15.4--2015 (Revision of IEEE Std 802.15.4--2011), April 2016.Google ScholarGoogle Scholar
  5. Thomas Watteyne, Ankur Mehta, and Kris Pister. Reliability through frequency diversity: Why channel hopping makes sense. In PE-WASUN. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. IPv6 over the TSCH mode of IEEE 802.15.4e. https://datatracker.ietf.org/wg/6tisch.Google ScholarGoogle Scholar
  7. Simon Duquennoy, Beshr Al Nahas, Olaf Landsiedel, and Thomas Watteyne. Orchestra: Robust mesh networks through autonomously scheduled tsch. In SenSys. ACM, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. X. Vilajosana, et al. Minimal 6TiSCH Configuration. draft-vilajosana-6tisch-minimal-16, June 2016.Google ScholarGoogle Scholar
  9. Q. Wang and X. Vilajosana. 6top protocol (6p). draft-ietf-6tisch-6top-protocol-02, July 2016.Google ScholarGoogle Scholar
  10. D. Dujovne, LA. Grieco, MR. Palattella, and N. Accettura. 6TiSCH 6top Scheduling Function Zero (SF0). draft-dujovne-6tisch-6top-sf0-00, March 2016.Google ScholarGoogle Scholar
  11. P. Thubert. An Architecture for IPv6 over the TSCH mode of IEEE 802.15.4. draft-ietf-6tisch-architecture-10, June 2015.Google ScholarGoogle Scholar
  12. D. Dujovne, T. Watteyne, X. Vilajosana, and P. Thubert. 6tisch: deterministic ip-enabled industrial internet (of things). IEEE Communications Magazine, 52(12):36--41, December 2014.Google ScholarGoogle ScholarCross RefCross Ref
  13. John N. Tsitsiklis and Kuang Xu. On the power of (even a little) centralization in distributed processing. In ACM SIGMETRICS, pages 161--172, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. A. Ghosh, O.D. Incel, V.S.A. Kumar, and B. Krishnamachari. Multi-channel scheduling algorithms for fast aggregated convergecast in sensor networks. In IEEE MASS, pages 363--372, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  15. M.R. Palattella, et al. On Optimal Scheduling in Duty-Cycled Industrial IoT Applications Using IEEE802.15.4e TSCH. Sensors Journal, IEEE, 13(10):3655--3666, 2013.Google ScholarGoogle Scholar
  16. Melike Yigit, Ozlem Durmaz Incel, and Vehbi Cagri Gungor. On the interdependency between multi-channel scheduling and tree-based routing for WSNs in smart grid environments. Computer Networks, 65(0):1 -- 20, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  17. Felix Dobslaw, Tingting Zhang, and Mikael Gidlund. End-to-End Reliability-aware Scheduling for Wireless Sensor Networks. IEEE Transactions on Industrial Informatics, pages 1--1, 2014.Google ScholarGoogle Scholar
  18. N. Accettura, M.R. Palattella, G. Boggia, L.A. Grieco, and M. Dohler. Decentralized traffic aware scheduling for multi-hop low power lossy networks in the internet of things. In WoWMoM. IEEE, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  19. Kieu-Ha Phung et al. Schedule-based multi-channel communication in wireless sensor networks: A complete design and performance evaluation. Ad Hoc Networks, 26(0):88 -- 102, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Injong Rhee, A. Warrier, M. Aia, Jeongki Min, and M.L. Sichitiu. Z-MAC: A Hybrid MAC for Wireless Sensor Networks. IEEE/ACM Transactions on Networking, 16(3):511--524, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Chieh-Yih Wan, Shane B. Eisenman, Andrew T. Campbell, and Jon Crowcroft. Siphon: Overload traffic management using multi-radio virtual sinks in sensor networks. In SenSys. ACM, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Maria Rita Palattella et al. On-the-Fly Bandwidth Reservation for 6TiSCH Wireless Industrial Networks. IEEE Sensors Journal, 16(2):550--560, November 2015.Google ScholarGoogle ScholarCross RefCross Ref
  23. K. Muraoka, T. Watteyne, N. Accettura, X. Vilajosana, and K. S. J. Pister. Simple distributed scheduling with collision detection in tsch networks. IEEE Sensors Journal, 16(15):5848--5849, Aug 2016.Google ScholarGoogle ScholarCross RefCross Ref
  24. M. Domingo-Prieto, T. Chang, X. Vilajosana, and T. Watteyne. Distributed pid-based scheduling for 6tisch networks. IEEE Communications Letters, 20(5):1006--1009, May 2016.Google ScholarGoogle ScholarCross RefCross Ref
  25. Georgios Z. Papadopoulos, et al. Adding value to WSN simulation using the IoT-LAB experimental platform. In WiMob. IEEE, 2013.Google ScholarGoogle Scholar
  26. Lai Dhananjay, et al. Measurement and characterization of link quality metrics in energy constrained wireless sensor networks. In GLOBECOM. IEEE, 2003.Google ScholarGoogle Scholar
  27. O. Iova, F. Theoleyre, and T. Noel. Stability and efficiency of RPL under realistic conditions in Wireless Sensor Networks. In PIMRC. IEEE, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  28. Nouha Baccour et al. Radio Link Quality Estimation in Wireless Sensor Networks: A Survey. ACM Transactions Sensor Networks, 8(4):34:1--34:33, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

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              • Published in

                cover image ACM Conferences
                MSWiM '16: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
                November 2016
                370 pages
                ISBN:9781450345026
                DOI:10.1145/2988287

                Copyright © 2016 ACM

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                Publication History

                • Published: 13 November 2016

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                MSWiM '16 Paper Acceptance Rate36of138submissions,26%Overall Acceptance Rate398of1,577submissions,25%

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