Abstract
The Industrial Internet of Things tends now to emerge as a key paradigm to interconnect a collection of wireless devices. However, most industrial applications have strict requirements, especially concerning the reliability and the latency. IEEE802.15.4-TSCH represents currently a promising standard relying on a strict schedule of the transmissions to provide such guarantees. The standard ISA-100.11a-2011 has proposed the concept of duocast, where a pair of receivers are allocated to the same transmission opportunity to increase the reliability. In this paper, we generalize this approach to involve k different receivers, and we explore the impact of this technique on the performance of the network. We propose an algorithm assigning several receivers for each transmission to increase the probability that at least one device receives correctly the packet. By exploiting a multipath topology created by the routing layer, we are able to reduce the number of transmissions while still achieving the same reliability. We consequently increase the network capacity, and reduce significantly the jitter. Our simulation results highlight the relevance of this k-cast technique in TSCH for the Industrial Internet of Things.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
http://openwsn.org provides an opensource implementation of IEEE802.15.4-TSCH.
References
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. https://doi.org/10.1109/IEEESTD.2016.7460875
Al-Anbagi, I., Erol-Kantarci, M., Mouftah, H.T.: A survey on cross-layer quality-of-service approaches in WSNs for delay and reliability-aware applications. IEEE Commun. Surv. Tutorials 18(1), 525–552 (2016). https://doi.org/10.1109/COMST.2014.2363950
Dobslaw, F., Zhang, T., Gidlund, M.: End-to-end reliability-aware scheduling for wireless sensor networks. IEEE Trans. Indus. Inform. 12(2), 758–767 (2014). https://doi.org/10.1109/TII.2014.2382335
Dujovne, D., Grieco, L.A., Palattella, M.R., Accettura, N.: 6TiSCH Experimental Scheduling Function (SFX). draft 1, IETF, March 2018
Hashimoto, M., Wakamiya, N., Murata, M., Kawamoto, Y., Fukui, K.: End-to-end reliability- and delay-aware scheduling with slot sharing for wireless sensor networks. In: COMSNETS, pp. 1–8, January 2016. https://doi.org/10.1109/COMSNETS.2016.7439984
Hermeto, R.T., Gallais, A., Theoleyre, F.: Scheduling for IEEE802.15.4-TSCH and slow channel hopping MAC in low power industrial wireless networks: a survey. Comput. Commun. 114, 84–105 (2017). https://doi.org/10.1016/j.comcom.2017.10.004
Huynh, T., Theoleyre, F., Hwang, W.J.: On the interest of opportunistic anycast scheduling for wireless low power lossy networks. Comput. Commun. 104, 55–66 (2017). https://doi.org/10.1016/j.comcom.2016.06.001
Iova, O., Theoleyre, F., Noel, T.: Using multiparent routing in RPL to increase the stability and the lifetime of the network. Ad Hoc Netw. 29, 45–62 (2015). https://doi.org/10.1016/j.adhoc.2015.01.020
ISA-100.11a-2011: Wireless systems for industrial automation:process control and related applications. International Society of Automation (ISA) Std. 1, May 2011
Kafi, M.A., Othman, J.B., Badache, N.: A survey on reliability protocols in wireless sensor networks. ACM Comput. Surv. 50(2), 31:1–31:47 (2017). https://doi.org/10.1145/3064004
Li, X., Li, D., Wan, J., Vasilakos, A.V., Lai, C.F., Wang, S.: A review of industrial wireless networks in the context of Industry 4.0. Wireless Netw. 23(1), 23–41 (2017). https://doi.org/10.1007/s11276-015-1133-7
Palattella, M.R., Accettura, N., Grieco, L.A., Boggia, G., Dohler, M., Engel, T.: On optimal scheduling in duty-cycled industrial IoT applications using IEEE802.15.4e TSCH. IEEE Sens. J. 13(10), 3655–3666 (2013). https://doi.org/10.1109/JSEN.2013.2266417
Papadopoulos, G., Matsui, T., Thubert, P., Watteyne, T., Montavont, N., Texier, G.: Leapfrog collaboration: toward determinism and predictability in industrial-IoT applications. In: ICC, pp. 1–6. IEEE (2017). https://doi.org/10.1109/ICC.2017.7997160
Wang, Q., et al.: 6top protocol (6p). draft 12, IETF, June 2018
Winter, T., et al.: Rpl: Ipv6 routing protocol for low-power and lossy networks. rfc 6550, IETF (2012). https://doi.org/10.17487/RFC6550
Theoleyre, F., Papadopoulos, G.Z.: Experimental validation of a distributed self-configured 6TiSCH with traffic isolation in low power lossy networks. In: MSWiM, pp. 102–110. ACM (2016). https://doi.org/10.1145/2988287.2989133
Wang, X., Wu, X., Zhang, X.: Optimizing opportunistic routing in asynchronous wireless sensor networks. IEEE Commun. Lett. 21(10), 2302–2305 (2017). https://doi.org/10.1109/LCOMM.2017.2729557
Watteyne, T., Mehta, A., Pister, K.: Reliability through frequency diversity: why channel hopping makes sense. In: PE-WASUN, pp. 116–123. ACM (2009). https://doi.org/10.1145/1641876.1641898
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Hosni, I., Théoleyre, F. (2018). Adaptive k-cast Scheduling for High-Reliability and Low-Latency in IEEE802.15.4-TSCH. In: Montavont, N., Papadopoulos, G. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2018. Lecture Notes in Computer Science(), vol 11104. Springer, Cham. https://doi.org/10.1007/978-3-030-00247-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-00247-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00246-6
Online ISBN: 978-3-030-00247-3
eBook Packages: Computer ScienceComputer Science (R0)