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An IoT Architecture for Continuous Livestock Monitoring using LoRa LPWAN
| Publication type | Journal paper |
|---|---|
| Year of publication | 2019 |
| Authors | Lorenzo Germani, Vanni Mecarelli, Giuseppe Baruffa, Luca Rugini, and Fabrizio Frescura |
| Title | An IoT Architecture for Continuous Livestock Monitoring using LoRa LPWAN |
| Journal title | Electronics |
| Volume | 8 |
| Issue | 12 |
| Pages | 1–28, article no. 1435 |
| Editor | |
| Publisher | MDPI |
| Date | December 2019 |
| Place | |
| ISSN number | 2079-9292 |
| ISBN number | |
| Key words | LoRa, Internet of Things, precision livestock farming, wireless sensor network, listen-before-talk |
| Abstract | The Internet of Things (IoT) architecture is quickly becoming popular even outside of its originating scenario of home automation. This paper reports the design, implementation, and performance of an IoT hardware and software architecture conceived for the continuous monitoring of livestock located in barns and during grazing. We have adopted the LoRa low power wide area network (LPWAN) technology to cover the diverse environments, and a suitable configuration of web services to perform data storage, analysis, and visualization. Since the LoRa LPWAN (LoRaWAN) medium access control (MAC) layer does not provide a listen-before-talk (LBT) mechanism, we propose a custom MAC layer with LBT-based carrier-sense multiple access with collision avoidance (CSMA/CA). The devised system has been implemented using off-the-shelf hardware, and its performance has also been estimated with the help of a C++ event-based simulator. The preliminary results of our HW implementation on the field confirm the stability of the conceived system and its reliability. |
| URL | https://www.mdpi.com/2079-9292/8/12/1435 |
| DOI | http://dx.doi.org/10.3390/electronics8121435 |
| Other information | |
| Paper |  (portable document format, 6390696 Bytes) |