Honors College Thesis
 

Evaluating the Efficiency, Capabilities, and Scalability of a LoRaWAN Network in a Fenceless Grazing Implementation

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  • LoRaWAN networks are becoming more popular, and it is becoming common for developers to look at solutions utilizing Internet of Things concepts. In this paper, I introduce a Fenceless Grazing System utilizing the LoRaWAN network stack and discuss the limitations of this theorized network to better understand the scalability prior to production. The goal of this system is to define ”invisible fences” and prevent livestock from crossing these boundaries. Using smart collars on animals, ranchers are able to define boundaries and herd animals from the comfort of their home. This system utilizes the LoRaWAN network stack, and this technology is further discussed. Hardware is introduced, and the capabilities of this system and greater LoRaWAN networks in general is evaluated. Utilizing NS-3, various simulations were run to evaluate the packet loss across the entire network in an effort to determine the constraints of the system. Finally, these results are presented and a theorized maximum distance is evaluated and tested with the hardware on hand.
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  • Pending Publication
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  • 2020-06-04 to 2021-07-05

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