LoRaDrone : Enabling Low-Power LoRa Data Transmission via a Mobile Approach

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

1 Scopus Citations
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Author(s)

  • Ciyuan Chen
  • Junzhou Luo
  • Zhuqing Xu
  • Runqun Xiong
  • Jingkai Lin
  • Dian Shen

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2022 18th International Conference on Mobility, Sensing and Networking (MSN 2022)
PublisherIEEE
Pages239-246
ISBN (Electronic)978-1-6654-6457-4
Publication statusPublished - Dec 2022

Publication series

NameProceedings - International Conference on Mobility, Sensing and Networking, MSN

Conference

Title18th International Conference on Mobility, Sensing and Networking (MSN 2022)
PlaceChina
CityVirtual, Online
Period14 - 16 December 2022

Abstract

Low-Power Wide Area Networks (LPWANs) are widely used to connect large-scale Internet of Things (IoT) applications. Long Range (LoRa) is a promising LPWAN technology sensitive to energy consumption, since LoRa nodes are generally battery-powered, and the battery life will influence the lifetime of the LoRa network. In practice, the battery life of LoRa nodes is short in many scenarios, due to the long transmission distance form the gateway leading to high energy consumption. Existing techniques for energy-efficient data transmission mainly focus on static gateways, and will consume huge energy of remote nodes. In this paper, we propose to integrate LoRa with mobility to minimize the energy consumption of nodes by effectively shortening the transmission distances, and design the first mobile LoRa data transmission system called LoRaDrone by leveraging the unmanned aerial vehicle (UAV) gateway flying close to nodes. Specifically, we present a low-power communication mechanism and a dynamic channel allocation policy to minimize the energy consumed in sensing and communicating with the UAV gateway, while considering the distinctive LoRa parallel reception and complex transmission collisions. Then, an optimal speed scheduling strategy is designed to ensure the reliability of data transmission, and minimize the energy consumption of the UAV. Evaluations on various scales verify the effectiveness of LoRaDrone under different nodes' distributions and UAV paths. Compared with the baselines, the energy consumption of nodes using LoRaDrone is at most reduced by 70.37 × at 5000 nodes. © 2022 IEEE.

Research Area(s)

  • data transmission, LoRa, low-power, mobility, scheduling

Citation Format(s)

LoRaDrone: Enabling Low-Power LoRa Data Transmission via a Mobile Approach. / Chen, Ciyuan; Luo, Junzhou; Xu, Zhuqing et al.
Proceedings - 2022 18th International Conference on Mobility, Sensing and Networking (MSN 2022). IEEE, 2022. p. 239-246 (Proceedings - International Conference on Mobility, Sensing and Networking, MSN).

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