4.8 Article

Hybrid Low-Power Wide-Area Mesh Network for IoT Applications

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 8, 期 2, 页码 901-915

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.3009228

关键词

Internet of Things; Wireless sensor networks; Mesh networks; Sensors; Power demand; Agriculture; Energy consumption; Communications; digital agriculture; Internet of Things (IoT); LoRa; mesh network; smart city; time-division multiple access (TDMA); wireless sensor network (WSN)

资金

  1. Wabash Heartland Innovation Network
  2. SMART Film Consortium at Purdue University

向作者/读者索取更多资源

The study proposes a hybrid, low-power, wide-area network structure leveraging sub-GHz long-range radio and 2.4GHz short-range radio to achieve wide-area communication coverage and low-power consumption. By integrating LoRa and ANT, the network demonstrates superior performance in terms of cost, coverage, and power consumption based on real-world deployments at Purdue University campus and the university-owned farm.
The recent advancement of the Internet of Things (IoT) enables the possibility of data collection from diverse environments using IoT devices. However, despite the rapid advancement of low-power communication technologies, the deployment of IoT networks still faces many challenges. In this article, we propose a hybrid, low-power, wide-area network (LPWAN) structure that can achieve wide-area communication coverage and low-power consumption on IoT devices by utilizing both sub-GHz long-range radio and 2.4-GHz short-range radio. Specifically, we constructed a low-power mesh network with LoRa, a physical-layer standard that can provide long-range (kilometers) point-to-point communication using custom time-division multiple access (TDMA). Furthermore, we extended the capabilities of the mesh network by enabling ANT, an ultralow-power, short-range communication protocol to satisfy data collection in dense device deployments. Third, we demonstrate the performance of the hybrid network with two real-world deployments at the Purdue University campus and at the university-owned farm. The results suggest that both networks have superior advantages in terms of cost, coverage, and power consumption vis--vis other IoT solutions, like LoRaWAN.

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