Demo Abstract: A Novel Firmware Update Over-The-Air System for LoRa Networks

Zehua Sun, Tao Ni, Huanqi Yang, Kai Liu, Yu Zhang, Tao Gu, Weitao Xu*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

LoRa has emerged as a novel Internet of Things (IoT) communication paradigm, featuring with long-range and low-power transmission capabilities. With the widespread deployment of LoRa networks, the demand to perform Firmware Update Over-The-Air (FUOTA) tasks has become increasingly critical for unattended LoRa devices. However, in practice, three fundamental problems that hinder the performance of FUOTA tasks are revealed, including low energy efficiency, poor transmission reliability, and biased multicast grouping. In this demo, we present a novel FUOTA system, the first work that offers an effective and sustainable solution to achieve energy-efficient and reliable over-the-air firmware updates in LoRa networks. In particular, this system incorporates threefold key modules: delta scripting, channel coding, and beamforming. The delta scripting algorithm unlocks the capability of incremental update, the channel coding scheme ensures the reliability and robustness of large-scale firmware image distribution, and the beamforming strategy as an optional module can further serve the unicast user. Thus, this demo presents a working example of functionality customization to show the efficacy and feasibility of our FUOTA system in LoRa networks. © 2023 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationIPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks
PublisherAssociation for Computing Machinery
Pages362–363
ISBN (Print)979-8-4007-0118-4
DOIs
Publication statusPublished - May 2023
Event22nd International Conference on Information Processing in Sensor Networks (IPSN 2023) - San Antonio, TX, United States
Duration: 9 May 202312 May 2023
http://ipsn.acm.org/2023/

Conference

Conference22nd International Conference on Information Processing in Sensor Networks (IPSN 2023)
PlaceUnited States
CitySan Antonio, TX
Period9/05/2312/05/23
Internet address

Research Keywords

  • LoRa
  • Firmware Update Over-The-Air

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