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Multi-hop LoRa Network with Pipelined Transmission Capability

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Ubiquitous Networking (UNet 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12293))

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Abstract

LoRa (Long Range) has been developed as an attractive IoT (Internet of Things) access network technology in terms of long distance and low power consumption. LoRaWAN a network standard based on LoRa, is an infra-structured network with star topology between LoRa motes, LoRa gateways, and a network server. Even though LoRaWAN has a long distance communication capability, it is difficult to apply LoRa technology in a large area with no communication infra-structure. In those environments, an ad-hoc network based on LoRa can cover a large area easily. In this paper, we propose a multi-hop LoRa network protocol, called pm-LoRa (pipelined multi-hop LoRa), with time-slotted and pipelined transmission capability which can be deployed easily on demand. In our protocol, a converge-cast tree topology is constructed at first for uploading and downloading communication between LoRa motes and a sink node. During the tree construction step, a channel and time-slot is assigned to each tree link, and each node transmits its data on the assigned channel and time-slot during the uploading and downloading data transmission cycles. We developed our multi-hop LoRa node prototype using Multi-tech mDot and made an experiment in the university. The experiment result showed that we could construct a multi-hop LoRa network easily on demand and collect sensor data from LoRa motes with high reliability by removing collisions among neighbor nodes.

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Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (KNRF-2017030208).

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Correspondence to Myung Kyun Kim .

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Mai, D.L., Kim, M.K. (2020). Multi-hop LoRa Network with Pipelined Transmission Capability. In: Habachi, O., Meghdadi, V., Sabir, E., Cances, JP. (eds) Ubiquitous Networking. UNet 2019. Lecture Notes in Computer Science(), vol 12293. Springer, Cham. https://doi.org/10.1007/978-3-030-58008-7_10

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  • DOI: https://doi.org/10.1007/978-3-030-58008-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58007-0

  • Online ISBN: 978-3-030-58008-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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