Abstract
In situ ocean monitoring is expensive and involve risk for the human crews. In order to reduce costs and risk associated with it is essential to have seamless ways of communicating with monitoring devices as marine buoys. It is interesting to have wireless communication in situ, but there is no known marine monitoring system that uses this technology as a means of extracting data over the sea. Therefore, this study is based on finding the maximum distance at which devices can be connected for the visualization and extraction of data without losing information in the process, from the modeling of the equation that relates the received signal strength indicator with the separation distance of the monitoring system, allowing the development of a prototype buoy that includes the extraction of data at sea wirelessly. In the results of the modelling show that data could be safely retrieved up to 41 m distance.
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References
Albaladejo Pérez, C.: Propuesta de una Red de Sensores Inalámbrica para un Sistema de Observación Costero (2011)
Albaladejo, C., Sánchez, P., Iborra, A., Soto, F., López, J.A., Torres, R.: Wireless sensor networks for oceanographic monitoring: a systematic review. Sensors (Basel) 10(7), 6948–6968 (2010). https://doi.org/10.3390/s100706948
Paz, H., Arévalo, J.A., Ortiz, M.A.: Design and development of an electronic device for data transmission with universal coverage. Ing. e Investig. 35(1), 84–91 (2015). https://doi.org/10.15446/ing.investig.v35n1.46071
Humidity, R., Point, D.: HOBO® MX1101 data logger, pp. 5–6 (2015)
Onset Computer Corporation, “HOBOmobile,” 2020. https://play.google.com/store/apps/details?id=com.onsetcomp.hobo. Accessed June 23 2020
Garroppo, R.G., Gazzarrini, L., Giordano, S., Tavanti, L.: Experimental assessment of the coexistence of Wi-Fi, ZigBee, and bluetooth devices. In: 2011 IEEE International Symposium on a World Wireless, Mobile Multimedia Networks, WoWMoM 2011—Digital Procesdings (2011). https://doi.org/10.1109/WoWMoM.2011.5986182
Xu, G., Shen, W., Wang, X.: Applications of wireless sensor networks in marine environment monitoring: a survey. Sensors (Switzerland) 14(9), 16932–16954 (2014). https://doi.org/10.3390/s140916932
Zainuddin, Z., Wardi, Nantan, Y.: Applying maritime wireless communication to support vessel monitoring. In: Proceedings—2017 4th International Conference on Information Technology, and Computer Electrical Engineering ICITACEE 2017, vol. 2018-Jan, pp. 158–161 (2017). https://doi.org/10.1109/icitacee.2017.8257695
Cázarez Ayala, G., Castillo Meza, H., Fonseca Beltrán, J.: Unidad de adquisición de datos y medición basada en protocolo de comunicación Wi-Fi. Ra Ximhai, vol. 8, pp. 355–366 (2012). https://doi.org/10.35197/rx.08.02.2012.11.gc
Domingo, J.D., Somolinos, C.C., Valero, E.: LOCALIZACIÓN DE PERSONAS MEDIANTE CÁMARAS RGB-D Y REDES INALÁMBRICAS. XXXVI Jornadas de Automática. pp. 2–4 (2015)
Adewumi, O.G., Djouani, K., Kurien, A.M.: RSSI based indoor and outdoor distance estimation for localization in WSN. In: Proceedings on IEEE International Conference on Industrial Technology, pp. 1534–1539 (2013). https://doi.org/10.1109/icit.2013.6505900
de Telecomunicaciones, U.I.: Método de predicción de la propagación específico del trayecto para servicios terrenales punto a zona en las bandas de ondas métricas y decimétricas Serie P. vol. 1 (2009)
Actualícese, “Determinación del tamaño de una muestra en auditoría,” 2016. https://actualicese.com/determinacion-del-tamano-de-una-muestra-en-auditoria/. Accessed June 26 (2020)
KAIBITS Software GmbH, “Información de señal de red - Aplicaciones en Google Play,” 2020. https://play.google.com/store/apps/details?id=de.android.telnet. Accessed June 26 (2020)
Oguejiofor, O.S., Okorogu, V.N., Adewale, A., Osuesu, B.O.: Outdoor localization system using RSSI measurement of wireless sensor network. Int. J. Innov. Technol. Explor. Eng. 2(2), 1–6 (2013)
GitHub - billz/ raspap-webgui: configuración simple de AP y gestión de WiFi para dispositivos basados en Debian.” https://github.com/billz/raspap-webgui. Accessed June 23 2020
Correa, A.C., Godoy, S.R., Grote, H.W., Orellana, F.M.: Evaluación De Enlaces Inalámbricos Urbanos Usando Protocolo IEEE 802.11b. Rev. Fac. Ing. Univ. Tarapacá, 13(3), 38–44 (2005). https://doi.org/10.4067/s0718-13372005000300006
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Castañeda, M.A.P., Villota, C.R., Bermúdez, D.V.P. (2021). Modeling the Relationship Between Distance and Received Signal Strength Indicator of the Wi-Fi Over the Sea to Extract Data in Situ from a Marine Monitoring Buoy. In: Sharma, H., Saraswat, M., Yadav, A., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. CIS 2020. Advances in Intelligent Systems and Computing, vol 1335. Springer, Singapore. https://doi.org/10.1007/978-981-33-6984-9_10
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