LoBee: Bidirectional Communication Between LoRa and ZigBee Based on Physical-Layer CTC

LoRa networks operating in a star topology, this configuration creates a single point of failure and may limit scalability and reliability in areas that are large and geographically dispersed. In order to improve the overall transmission capabilities of the network, recent studies show that adding LoRa to the ZigBee devices effectively disseminates network management. By doing so, the strengths of both technologies can be leveraged, with LoRa serving as the long-range transmitter and ZigBee functioning as the mesh network. In this study, we present LoBee, a novel bidirectional communication method between LoRa and ZigBee that relies on Physical-Layer Cross-Technology Communication. Despite the fact that LoRa and ZigBee utilize different modulation techniques, ZigBee devices can detect and recognize LoRa chirps through the process of sampling the received signal strength. For the transmissions from ZigBee to LoRa devices, we carefully select the input chips to generate specific waveforms, where LoBee detects the preamble of a ZigBee frame based on the locations of the repeated peaks. Our evaluation, which was conducted using USRP and commodity devices, demonstrates that LoBee is capable of achieving concurrent bidirectional wireless communications, with a data rate of approximately 639.38 bits per second from LoRa to ZigBee and from ZigBee to LoRa with more than 90% frame reception rate in the 2.4 GHz frequency band.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-04-08
DOI
https://doi.org/10.1109/twc.2025.3556552
Citations
12
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
8.77
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article

LoBee: Bidirectional Communication Between LoRa and ZigBee Based on Physical-Layer CTC

Demin Gao, Qiaolin Ye, Weizheng Wang, Yongrui Chen et al.
12 citations
IEEE Transactions on Wireless Communications
IoT Networks and Protocols
8.77
article

LoBee: Bidirectional Communication Between LoRa and ZigBee Based on Physical-Layer CTC

Demin Gao, Qiaolin Ye, Weizheng Wang, Yongrui Chen, Yunhuai Liu, Shuai Wang, Haoyu Wang, Tian He, Xiuzhen Guo
article en
12 citations

Abstract

LoRa networks operating in a star topology, this configuration creates a single point of failure and may limit scalability and reliability in areas that are large and geographically dispersed. In order to improve the overall transmission capabilities of the network, recent studies show that adding LoRa to the ZigBee devices effectively disseminates network management. By doing so, the strengths of both technologies can be leveraged, with LoRa serving as the long-range transmitter and ZigBee functioning as the mesh network. In this study, we present LoBee, a novel bidirectional communication method between LoRa and ZigBee that relies on Physical-Layer Cross-Technology Communication. Despite the fact that LoRa and ZigBee utilize different modulation techniques, ZigBee devices can detect and recognize LoRa chirps through the process of sampling the received signal strength. For the transmissions from ZigBee to LoRa devices, we carefully select the input chips to generate specific waveforms, where LoBee detects the preamble of a ZigBee frame based on the locations of the repeated peaks. Our evaluation, which was conducted using USRP and commodity devices, demonstrates that LoBee is capable of achieving concurrent bidirectional wireless communications, with a data rate of approximately 639.38 bits per second from LoRa to ZigBee and from ZigBee to LoRa with more than 90% frame reception rate in the 2.4 GHz frequency band.

IEEE Transactions on Wireless CommunicationsVol. 24(8)
University of Minnesota (US), Nanjing Forestry University (CN), City University of Hong Kong (HK), Peking University (CN), Twin Cities Orthopedics (US), Zhejiang University-University of Edinburgh Institute (CN), University of Chinese Academy of Sciences (CN), Zhejiang University (CN), Southeast University (CN)
Openalex Percentile: Top 2%
IoT Networks and Protocols
8.77
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