Miguel Angel Silva PlataNayara Carminia Lara RamosDiego Samuel Guzmán RiverosSharly Marian Ballón LópezLeyla Bionda Lipa HuariGabriel Antonio Rojas Silva2026-03-222026-03-22202510.1109/raai67517.2025.11423306https://doi.org/10.1109/raai67517.2025.11423306https://andeanlibrary.org/handle/123456789/80026This work presents the design and validation of an autonomous IoT collar for livestock monitoring in the Bolivian Altiplano. The device integrates motion, temperature, and environmental sensors into a compact platform powered by a solar energy system. A low-power wireless link enables continuous data transmission to a local gateway for remote visualization. The mechanical enclosure was 3D-printed with a bio-inspired internal pattern that improves impact resistance and overall durability. Compression, vibration, and water-resistance tests confirmed the structural reliability of the collar, while field trials demonstrated stable operation under real conditions. The embedded motionanalysis algorithm achieved a mean absolute error of 1.5 steps <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{1. 1 {\%}})$</tex> and a correlation of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$r=0.969\left(R^{2}=0.939\right)$</tex>, effectively distinguishing locomotion from non-advance movements. These results confirm the system's robustness and accuracy, which provides a low-cost solution for continuous livestock monitoring in remote rural areas.Robustness (evolution)CollarReal-time computingWirelessInternet of ThingsComputer scienceTransmission (telecommunications)Data transmissionWireless sensor networkReliability (semiconductor)article