LAPSE:2023.22143
Published Article
LAPSE:2023.22143
Multi-Hop LoRa Network Protocol with Minimized Latency
Dinh Loc Mai, Myung Kyun Kim
March 23, 2023
LoRa (Long Range) is a long-range communications capacity with chirp spread spectrum modulation. It has been developed for Internet of Things (IoT) applications for long-distance and low power consumption. Some authors proposed LoRa protocols such as LoRaWAN, LoRaBlink, DQ-LoRa and the multi-hop LoRa network with linear topology; however, these protocols have disadvantages. In this paper, we propose a minimized latency multi-hop LoRa network protocol that is collision-free with low latency to improve on the disadvantages. First, in the proposed protocol, tree topology is constructed by exchanging packets between LoRa nodes and the sink node. During this period, a timeslot and channel are assigned to each tree link, over which LoRa nodes communicate with their parent node and which is collision-free with its neighbor nodes. After the tree construction period, LoRa nodes start data transmission using the timeslot and channel that they have already been assigned to in the tree construction period. We developed the proposed protocol in a LoRa node prototype using the MultiTech mDot module, and we conducted experiments at Ulsan University. The results show that the proposed protocol provides high reliability, parallel transmissions, a minimized number of timeslots assigned for all the links in the network, a minimized packet size, and low latency.
Keywords
LoRa networks, low latency, multi-hop networks, parallel transmissions
Suggested Citation
Mai DL, Kim MK. Multi-Hop LoRa Network Protocol with Minimized Latency. (2023). LAPSE:2023.22143
Author Affiliations
Mai DL: Department of Electrical and Computer Engineering, University of Ulsan, Ulsan 44610, Korea
Kim MK: Department of Electrical and Computer Engineering, University of Ulsan, Ulsan 44610, Korea
Journal Name
Energies
Volume
13
Issue
6
Article Number
E1368
Year
2020
Publication Date
2020-03-15
Published Version
ISSN
1996-1073
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PII: en13061368, Publication Type: Journal Article
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LAPSE:2023.22143
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doi:10.3390/en13061368
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Mar 23, 2023
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