Abstract
The integration of technologies under the underwater internet of things (UIoT) paradigm allows the interconnectivity of sensors, smartphones, cameras, animals, people, plants, etc., in aquatic environments, promoting accessible communication and the generation of information on topics of interest such as the conservation of fauna or flora, the composition of elements in the water, the tracking of objects such as semi-autonomous vehicles, or the location of surfers, bathers, among others, who sometimes focus on obtaining data without considering the effects that some types of communication or devices can cause to the environment. For this reason, in this work a UIoT architecture composed of three layers is proposed: detection, networking and storage, which allows the collection of data from different geographical points, through mobile nodes that are activated when they are close to the line of sight. of fixed nodes that have RFID readers, which work at a frequency of 125 kHz, enabling with this type of technology low energy consumption, a high integration scale and low emission of electromagnetic waves, which by implementing low frequencies we have as a result smart nodes that are friendly to the environment in which they are located.
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Acknowledgement
The authors acknowledge the Instituto Politécnico Nacional, the Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, the Postgraduate Studies and Research Section of the UPIITA-IPN. This work was supported in part by the Secretaria de Investigación y Posgrado-IPN, under the research with registration number 20220542 and by Secretaria de Educación, Ciencia Tecnología e Inovación de la CDMX, under the reasearch with registration number Sectei /143/2021.
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Pallares-Calvo, A.E., Carvajal-Gámez, B.E., Gutiérrez-Frías, O.O. (2022). Architecture of a Network of Low-Frequency Smart Sensors for IoT Applications in Marine Environments. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_68
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