research-article

PolarScheduler: Dynamic Transmission Control for Floating LoRa Networks

Authors:

Xiaolong Zheng,

Huadong MaAuthors Info & Claims

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Pages 550 - 559

https://doi.org/10.1109/INFOCOM48880.2022.9796656

Published: 02 May 2022 Publication History

Abstract

LoRa is widely deploying in aquatic environments to support various Internet of Things applications. However, floating LoRa networks suffer from serious performance degradation due to the polarization loss caused by the swaying antenna. Existing methods that only control the transmission starting from the aligned attitude have limited improvement due to the ignorance of aligned period length. In this paper, we propose PolarScheduler, a dynamic transmission control method for floating LoRa networks. PolarScheduler actively controls transmission configurations to match polarization aligned periods. We propose a V-zone model to capture diverse aligned periods under different configurations. We also design a low-cost model establishment method and an efficient optimal configuration searching algorithm to make full use of aligned periods. We implement PolarScheduler on commercial LoRa platforms and evaluate its performance in a deployed network. Extensive experiments show that PolarScheduler can improve the packet delivery rate and throughput by up to 20.0% and 15.7%, compared to the state-of-the-art method.

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Cited By

Hou NXia XZheng Y(2023)Jamming of LoRa PHY and CountermeasureACM Transactions on Sensor Networks10.1145/358313719:4(1-27)Online publication date: 16-May-2023
https://dl.acm.org/doi/10.1145/3583137
Wang YZhang FZheng XLiu LMa H(2023)Decoding LoRa Collisions via Parallel AlignmentACM Transactions on Sensor Networks10.1145/357158619:3(1-25)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1145/3571586

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PolarScheduler: Dynamic Transmission Control for Floating LoRa Networks
1. Networks

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IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

May 2022

2237 pages

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Published: 02 May 2022

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Cited By

Hou NXia XZheng Y(2023)Jamming of LoRa PHY and CountermeasureACM Transactions on Sensor Networks10.1145/358313719:4(1-27)Online publication date: 16-May-2023
https://dl.acm.org/doi/10.1145/3583137
Wang YZhang FZheng XLiu LMa H(2023)Decoding LoRa Collisions via Parallel AlignmentACM Transactions on Sensor Networks10.1145/357158619:3(1-25)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1145/3571586

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