Near-Ground Propagation Model in an Archaeological Park in Cusco for Low Power Wireless Sensor Network

Yhon Lezama, Jinmi Lezama, Cesar Briso, Jorge Arizaca

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


In the present work, we develop the propagation channel modeling for point-to-point (PtP) communication network between devices using LoRa technology within an archaeological park in Cusco, Peru, at 920 MHz, due to the propagation model is an essential component in the design and deployment of the wireless sensor network (WSN). The signal indicator received from the nodes is obtained, while the transmitter moves at a constant speed in different linear routes, under three outstanding environments of the archaeological park, being the CAPELLANPAMPA esplanade, the Inca walls, and the WATAYCARCEL platforms. By means of an exhaustive analysis of the influence of different heights of the receiving antenna and the factors of each terrain, the use of the moving average filter with a window length of 40 λ is determined in order to separate the fades, then interpolate the average received power during the deployment of the PtP network within each scenario. This study emphasizes what happened within the scenarios trying to explain each one through the models developed. Each model is validated and chosen based on the value of the correlation coefficient between the measured data and the developed model.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
EditoresYuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas9
ISBN (versión impresa)9783030756796
EstadoPublicada - 2021
Publicado de forma externa
Evento6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online
Duración: 26 oct. 202028 oct. 2020

Serie de la publicación

NombreSmart Innovation, Systems and Technologies
ISSN (versión impresa)2190-3018
ISSN (versión digital)2190-3026


Conferencia6th Brazilian Technology Symposium, BTSym 2020
CiudadVirtual, Online

Nota bibliográfica

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.


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