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Rethinking LoRa for the IoT: An InformationCentric Approach

Published: 20 November 2023 Publication History

Abstract

In this article, we present LoRa-ICN, a new long-range communication system that provides a versatile data-oriented integration of battery-driven LoRa nodes into the Internet of Things (IoT). LoRa-ICN builds on two paradigms: information-centric networking (ICN), which enables more direct, data-oriented communication between Internet systems and the low-power wireless domain, and 802.15.4 DSME, which is an IoT MAC layer that facilitates reliable LoRa transmissions. While the combination of LoRa and DSME is generally better suited for bi-directional end-to-end communication, it still incurs considerable long and variable transmission latencies, and challenges the network layer transition between the power-constrained wireless domain and the Internet. Our design and implementation on actual off-the-shelf IoT hardware includes extensions to ICN that enable delay-tolerant data retrieval between LoRa nodes and an application on the Internet. An experimental comparison between default ICN mechanisms and our extensions shows that LoRa-ICN is able to achieve a high data delivery rate, while dealing with the higher latencies explicitly, thus providing a viable option for re-imaging LoRa networks with a data-oriented, Internet-friendly approach.

References

[1]
D. Zorbas et al., “TS-LoRa: Time-Slotted LoRaWAN for the Industrial Internet of Things,” Computer Commun., vol. 153, 2020, pp. 1–10.
[2]
L. Leonardi, L. Lo Bello, and G. Patti, “MRT-LoRa: A Multi-Hop Realtime Communication Protocol for Industrial IoT Applications Over LoRa Networks,” Computer Commun., vol. 199, 2023, pp. 72–86.
[3]
IEEE 802.15 Working Group, “IEEE Standard for Low-Rate Wireless Networks,” IEEE Std, 2016.
[4]
L. Seitz et al., “Use Cases for Authentication and Authorization in Constrained Environments,” IETF, RFC 7744, Jan. 2016.
[5]
E. Baccelli et al., “RIOT: An Open Source Operating System for Low-End Embedded Devices in the IoT,” IEEE Internet of Things J., vol. 5, no. 6, Dec. 2018, pp. 4428–40.
[6]
J. Finnegan, S. Brown, and R. Farrell, “Evaluating the Scalability of LoRaWAN Gateways for Class B Communication in ns-3,” in Proc. IEEE Conf. Standards for Commun. Networking, IEEE, 2018, pp. 1–6.
[7]
Y. Shiferaw, A. Arora, and F. Kuipers, “LoRaWAN Class B Multicast Scalability,” in Proc. IFIP Networking Conf., IEEE Press, June 2020, pp. 609–13.
[8]
L. Zhang et al., “Named Data Networking,” SICCOMM Com put. Commun. Rev., vol. 44, no. 3, 2014, pp. 66–73.
[9]
P. Kietzmann et al., “Delay-Tolerant ICN and Its Application to LoRa,” ACM Conf. Information-Centric Networking, ACM, Sept. 2022, pp. 125–36.
[10]
J. Alamos, T. C. Schmidt, and M. Wählisch. “6LoRa: Full Stack IPv6 Networking with DSME-LoRa on Low Power IoT Nodes,” in Proc. EWSN'23, New York, USA: ACM, Sept. 2023.
[11]
J. Alamos et al., “DSMELoRa: Seamless Long Range Communication Between Arbitrary Nodes in the Constrained IoT,” Trans. Sensor Networks, vol. 18, no. 4, Nov. 2022, pp. 1–43.
[12]
Y. Li et al., “NDN Automatic Prefix Propagation,” NDN, Technical Report, Mar. 2018.
[13]
M. Kró et al., “RICE: Remote Method Invocation in ICN,” in Proc. ACM Conf. Information-Centric Networking, New York, NY, USA: ACM, 2018, pp. 1–11.

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          cover image IEEE Communications Magazine
          IEEE Communications Magazine  Volume 62, Issue 1
          January 2024
          134 pages

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          IEEE Press

          Publication History

          Published: 20 November 2023

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