Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas
Rainfall monitoring networks are key elements in the development of warnings and predictive models for communities at risk of flooding during high intensity rainfall events. Currently, most of these networks send the rainfall measurement to a data center in real time using wireless communication pro...
- Autores:
-
Ortega González, Lilia Rosa
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8471
- Acceso en línea:
- https://hdl.handle.net/11323/8471
https://repositorio.cuc.edu.co/
- Palabra clave:
- Rainfall monitoring
LoRaWAN
Zigbee
Sigfox
Radio mobile
Monitoreo de precipitaciones
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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dc.title.spa.fl_str_mv |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
title |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
spellingShingle |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas Rainfall monitoring LoRaWAN Zigbee Sigfox Radio mobile Monitoreo de precipitaciones |
title_short |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
title_full |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
title_fullStr |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
title_full_unstemmed |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
title_sort |
Evaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanas |
dc.creator.fl_str_mv |
Ortega González, Lilia Rosa |
dc.contributor.advisor.spa.fl_str_mv |
Acosta Coll, Melisa Andrea Piñeres Espitia, Gabriel Dario |
dc.contributor.author.spa.fl_str_mv |
Ortega González, Lilia Rosa |
dc.subject.spa.fl_str_mv |
Rainfall monitoring LoRaWAN Zigbee Sigfox Radio mobile Monitoreo de precipitaciones |
topic |
Rainfall monitoring LoRaWAN Zigbee Sigfox Radio mobile Monitoreo de precipitaciones |
description |
Rainfall monitoring networks are key elements in the development of warnings and predictive models for communities at risk of flooding during high intensity rainfall events. Currently, most of these networks send the rainfall measurement to a data center in real time using wireless communication protocols, thus avoiding travel to the measurement site. An application case of this is an Early Warning System (EWS) for pluvial flash floods developed in Barranquilla, which used the GPRS protocol to send real-time rain gauge measurement data to a web server for further processing; however, this protocol has high energy consumption and high maintenance costs. In the present work, an evaluation of three low power wireless communication protocols, Zigbee, LoRaWAN and Sigfox, is carried out to determine which one is the most suitable to be applied to an early warning system that monitors rainfall in the city of Barranquilla. The stipulated evaluation metrics are the characteristics of the link profile, energy consumption and costs of the devices for the implementation of the system. To perform the evaluation, a wireless sensor network was designed and characterized, which was analyzed using the free software tool Radio Mobile; this tool allowed determining the performance for each communication protocol, taking into account the measurement points implemented with the GPRS network of the previous SAT. The final results of the simulation show the LoRaWAN protocol as a viable alternative with good performance. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-07-19T20:05:43Z |
dc.date.available.none.fl_str_mv |
2021-07-19T20:05:43Z |
dc.date.issued.none.fl_str_mv |
2021 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Pregrado |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TP |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_7a1f |
status_str |
acceptedVersion |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/8471 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
url |
https://hdl.handle.net/11323/8471 https://repositorio.cuc.edu.co/ |
identifier_str_mv |
Corporación Universidad de la Costa REDICUC - Repositorio CUC |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
Acosta-Coll, M., Ballester-Merelo, F., & Martínez-Peiró, M. (2018). Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin. Natural Hazards, 92(2), 1237–1265. https://doi.org/10.1007/s11069-018-3249-4 Acosta Coll, M. (2013). Sistemas de Alerta Temprana (S.A.T) para la Reducción del Riesgo de Inundaciones Súbitas y Fenómenos Atmosféricos en el Área Metropolitana de Barranquilla. Scientia et Technica, 18(2), 303–308. https://doi.org/10.22517/23447214.8661 Albero, T., Sempere, V., Silvestre, J., & Dabbas, P. (2005). Environmental control system based on mobile devices. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 1 2 VOLS(November 2015), 831–838. https://doi.org/10.1109/etfa.2005.1612612 Alliance, L. (2020). LoRaWAN® L2 1.0.4 Specification. 1–75. Ávila, H. (2012). Perspectiva del manejo del drenaje pluvial frente al cambio climático - caso de estudio: ciudad de Barranquilla, Colombia*. Revista de Ingeniería, (36), 54–59. https://doi.org/10.16924/revinge.36.10 Avila, L., Ávila, H., & Sisa, A. (2017). A reactive early warning model for urban flash flood management. World Environmental and Water Resources Congress 2017: Water, Wastewater, and Stormwater; Urban Watershed Management; and Municipal Water Infrastructure - Selected Papers from the World Environmental and Water Resources Congress 2017, (August), 372–382. https://doi.org/10.1061/9780784480632.030 Balmaceda, J., Aubert, J., & Arias, M. R. (2018). Performance analysis of radio link implementation for low cost deployed WiMAX networks. 2017 IEEE 37th Central America and Panama Convention, CONCAPAN 2017, 2018-Janua, 1–5. https://doi.org/10.1109/CONCAPAN.2017.8278516 Bernal, H. A. T. (2020). Análisis De Tecnologías De Comunicaciones Inalámbricas Para Determinar La Mejor Opción a Implementar Para Los Servicios Que Presta La DitgEaab. Retrieved from http://www.elsevier.com/locate/scp Bhoyar, P., Sahare, P., Dhok, S. B., & Deshmukh, R. B. (2019). Communication technologies and security challenges for internet of things: A comprehensive review. AEU - International Journal of Electronics and Communications, 99, 81–99. https://doi.org/10.1016/j.aeue.2018.11.031 Bonilla, I., Arturo, T., & Morles, M. (2016). Iot, El Internet De Las Cosas Y La Innovación De Sus Aplicaciones. VInculaTégica EFAN, (1), 2313–2340. Retrieved from http://www.web.facpya.uanl.mx/Vinculategica/Revistas/R2/2313-2340 - Iot, El Internet De Las Cosas Y La Innovacion De Sus Aplicaciones.pdf Buettrich, S. (2007). Unidad 06 Unidad 06: : Cálculo de Radioenlace Cálculo de Radioenlace Tabla de contenido. 1–22. Retrieved from http://www.itrainonline.org/itrainonline/mmtk/wireless_es/files/06_es_calculo-deradioenlace_guia_v02.pdf CAE S.p.A. (2021). PRECIPITACIONES INTENSAS. Retrieved April 19, 2020, from https://www.cae.it/esp/soluciones/sistemas-de-monitoreo-para-eventosmeteorológicos-extremos/precipitaciones-intensas-sl-10.html Caicedo Ortiz, J. G. (2015). Modelo de despliegue de una WSN para la medición de las variables climáticas que causan fuertes precipitaciones. Prospectiva, 13(1), 106. https://doi.org/10.15665/rp.v13i1.365 Cama-Pinto, A., Acosta-Coll, M., Piñeres-Espitia, G., Caicedo-Ortiz, J., Zamora-Musa, R., & Sepulveda-Ojeda, J. (2016). Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia. Ingeniare. Revista Chilena de Ingeniería, 24(4), 581–599. https://doi.org/10.4067/s0718-33052016000400005 Digi International Inc. (2020). ConnectPort® X2 - Digi International. Retrieved from http://www.digi.com/products/xbee-rf-solutions/gateways/connectportx2gateways Dragino. (2020). Lora Shield. Retrieved from Wiki for Dragino Project website: http://wiki.dragino.com/index.php?title=Lora_Shield DRAGINO. (2020). Outdoor LoRaWAN Gateway OVERVIEW : 1.0(8), 86647123. Dulman, S., Chatterjea, S., & Havinga, P. (2005). Introduction to wireless sensor networks. Embedded Systems: Handbook, (c), 31-1-31–10. https://doi.org/10.1201/9781420038163 East, B. R. (2008). 9XTend TM OEM RF Module. 1–2. Garcia, F. C. C., Retamar, A. E., & Javier, J. C. (2016). A real time urban flood monitoring system for metro Manila. IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2016-Janua, 3–7. https://doi.org/10.1109/TENCON.2015.7372990 García Garrancho, P. (2006). Manuel de uso de Radio Mobile. 31. Retrieved from https://upcommons.upc.edu/bitstream/handle/2099.1/6989/anexos/Anexo 16.pdf Guide, I. (2018). XKIT INSTRUCTION. (April). Hua, J., & Shunwuritu, N. (2021). Research on term extraction technology in computer field based on wireless network technology. Microprocessors and Microsystems, 80(September 2020), 103336. https://doi.org/10.1016/j.micpro.2020.103336 IP Europe. (2019). What are cellular communication standards ? Retrieved April 26, 2021, from IP-Europe-Factsheet website: https://www.iptalks.eu/policy-priorities/supportthe-open-standards-development-model/what-are-cellular-communication-standards/ ITU-T. (2014). Applications of Wireless Sensor Networks in Next Generation Networks. Series T.2000: Next Generation Networks, (February), 1–94. Javier, F., Pisón, M. De, Marcos, A. G., & Elías, F. A. (2009). Redes inalámbricas de sensores : teoría y aplicación práctica Roberto Fernández Martínez , Joaquín Ordieres Meré ,. Kadhim, L. A., & Salih, S. M. (2014). Indoor Distributed Antenna System for the University of Baghdad Building. IEEE Transactions on Antennas and Propagation, 5(4), 57–68. Kama, A., Diallo, M., & Drame, M. S. (2018). Low cost connected and autonomous rain gauge for real time rainfall monitoring in Dakar. 2018 25th International Conference on Telecommunications, ICT 2018, 660–664. https://doi.org/10.1109/ICT.2018.8464854 Koucheryavy, A., & Salim, A. (2009). Cluster head selection for homogeneous wireless sensor networks. International Conference on Advanced Communication Technology, ICACT, 3(3), 2141–2146. Lavric, A., Petrariu, A. I., & Popa, V. (2019). SigFox Communication Protocol: The New Era of IoT? 2019 International Conference on Sensing and Instrumentation in IoT Era, ISSI 2019, 2019–2022. https://doi.org/10.1109/ISSI47111.2019.9043727 Lee, J. S., Su, Y. W., & Shen, C. C. (2007). A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi-Fi. IECON Proceedings (Industrial Electronics Conference), (September 2014), 46–51. https://doi.org/10.1109/IECON.2007.4460126 Li, W., & Kara, S. (2017). Methodology for Monitoring Manufacturing Environment by Using Wireless Sensor Networks (WSN) and the Internet of Things (IoT). Procedia CIRP, 61, 323–328. https://doi.org/10.1016/j.procir.2016.11.182 LoRa Alliance. (2015). A technical overview of LoRa and LoRaWAN. (November), 1–20. Retrieved from https://www.loraalliance.org/portals/0/documents/whitepapers/LoRaWAN101.pdf Mangundu, E. M., Mateus, J. N., Zodi, G. A. L., & Johson, J. (2018). A wireless sensor network for rainfall monitoring, using cellular network: A case for Namibia. 2017 Global Wireless Summit, GWS 2017, 2018-Janua, 240–244. https://doi.org/10.1109/GWS.2017.8300469 Mekki, K., Bajic, E., Chaxel, F., & Meyer, F. (2019). A comparative study of LPWAN technologies for large-scale IoT deployment. ICT Express, 5(1), 1–7. https://doi.org/10.1016/j.icte.2017.12.005 Mendoza, A., González, H., Buelvas, J., & Rueda, S. L. M. (2016). Guía para la Implementación de Sistemas de alerta temprana. Retrieved from https://repositorio.gestiondelriesgo.gov.co/bitstream/handle/20.500.11762/18505/VOL -9-GUIA-PARA-LA-IMPLEMENTACION-DE SISTEMAS-DE-ALETATEMPRANA.pdf?sequence=18 Monachesi, E., Gómez López, F. A., Carrasco, A., Frenzel, A. M., Chaile, G., & Tucumán, F. R. (2016). Estudio de viabilidad de un enlace WiFi. Retrieved from http://www.edutecne.utn.edu.ar Noaa. (2012). Guía de referencia para sistemas de alerta temprana de crecidas repentinas. Retrieved from http://www.meted.ucar.edu/communities/hazwarnsys/ffewsrg_es/FFG_completa_es.pdf Organización Meteorológica Mundial. (1994). GUÍA DE PRACTICAS HIDROLÓGICAS. Retrieved from https://www.wmo.int/pages/prog/hwrp/publications/guide/spanish/168_Vol_I_es.pdf Rueda, J. S., & Talavera Portocarrero, J. M. (2017). Similitudes y diferencias entre Redes de Sensores Inalámbricas e Internet de las Cosas: Hacia una postura clarificadora. Revista Colombiana de Computación, 18(2), 58–74. https://doi.org/10.29375/25392115.3218 Sadowski, S., & Spachos, P. (2020). Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities. Computers and Electronics in Agriculture, 172(September 2019), 105338. https://doi.org/10.1016/j.compag.2020.105338 Santos, S. C., Firmino, R. M., Mattos, D. M. F., & Medeiros, D. S. V. (2020). An IoT Rainfall Monitoring Application based on Wireless Communication Technologies. 53–56. https://doi.org/10.1109/ciot50422.2020.9244293 Seybold, J. S. (2005). Introduction to RF Propagation. In Introduction to RF Propagation. https://doi.org/10.1002/0471743690 Sigfox. (2017). Sigfox Technical Overview. 1(May), 26. Retrieved from https://www.disk91.com/wp-content/uploads/2017/05/4967675830228422064.pdf Sohraby, K., Minoli, D., & Znati, T. (2007). Basic Wireless Sensor Technology. In Wireless Sensor Networks. https://doi.org/10.1002/9780470112762.ch3 Talavera, J. M., Tobón, L. E., Gómez, J. A., Culman, M. A., Aranda, J. M., Parra, D. T., … Garreta, L. E. (2017). Review of IoT applications in agro-industrial and environmental fields. Computers and Electronics in Agriculture, 142(September), 283–297. https://doi.org/10.1016/j.compag.2017.09.015 Trandafir, B., Fratu, O., & Halunga, S. (2010). Simulation and analysis of a Wi-Fi public network using the radio mobile software. 2010 9th International Symposium on Electronics and Telecommunications, ISETC’10 - Conference Proceedings, 281–284. https://doi.org/10.1109/ISETC.2010.5679309 Vitadhani, A., Alief, F., Haryanto, B., Harwahyu, R., & Fitri Sari, R. (2020). Simulating LoRaWAN for flood early warning system in ciliwung river, bogor-Jakarta. Proceedings - 2020 International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, ISemantic 2020, 274–279. https://doi.org/10.1109/iSemantic50169.2020.9234221 Yuwono, T., Ruzardi, & Ismail, M. (2011). Rain gauge development employing bluetooth and RF modem. 2011 IEEE International Conference on Space Science and Communication: “Towards Exploring the Equatorial Phenomena”, IconSpace 2011 - Proceedings, (July), 320–323. https://doi.org/10.1109/IConSpace.2011.6015909 Zand, P., Chatterjea, S., Ketema, J., & Havinga, P. (2012). A distributed scheduling algorithm for real-time (D-SAR) industrial wireless sensor and actuator networks. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. https://doi.org/10.1109/ETFA.2012.6489719 Zennaro, M., Bagula, A., Gascon, D., & Noveleta, A. B. (2010). Long distance wireless sensor networks: Simulation vs reality. Proceedings of the 4th ACM Workshop on Networked Systems for Developing Regions, NSDR ’10, (June 2014). https://doi.org/10.1145/1836001.1836013 |
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Acosta Coll, Melisa AndreaPiñeres Espitia, Gabriel DarioOrtega González, Lilia Rosa2021-07-19T20:05:43Z2021-07-19T20:05:43Z2021https://hdl.handle.net/11323/8471Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Rainfall monitoring networks are key elements in the development of warnings and predictive models for communities at risk of flooding during high intensity rainfall events. Currently, most of these networks send the rainfall measurement to a data center in real time using wireless communication protocols, thus avoiding travel to the measurement site. An application case of this is an Early Warning System (EWS) for pluvial flash floods developed in Barranquilla, which used the GPRS protocol to send real-time rain gauge measurement data to a web server for further processing; however, this protocol has high energy consumption and high maintenance costs. In the present work, an evaluation of three low power wireless communication protocols, Zigbee, LoRaWAN and Sigfox, is carried out to determine which one is the most suitable to be applied to an early warning system that monitors rainfall in the city of Barranquilla. The stipulated evaluation metrics are the characteristics of the link profile, energy consumption and costs of the devices for the implementation of the system. To perform the evaluation, a wireless sensor network was designed and characterized, which was analyzed using the free software tool Radio Mobile; this tool allowed determining the performance for each communication protocol, taking into account the measurement points implemented with the GPRS network of the previous SAT. The final results of the simulation show the LoRaWAN protocol as a viable alternative with good performance.Las redes de monitoreo de precipitaciones son elementos claves para la elaboración de alertas y modelos de predicción para las comunidades que corren el riesgo de sufrir inundaciones durante los episodios de precipitaciones de alta intensidad. Actualmente, la mayoría de estas redes envían la medición de las precipitaciones a un centro de datos en tiempo real utilizando protocolos de comunicación inalámbrica, evitando así los desplazamientos al lugar de la medición. Un caso de aplicación de esto es un Sistema de Alerta Temprana (SAT) para inundaciones repentinas pluviales desarrollado en Barranquilla, el cual utilizaba el protocolo GPRS para enviar datos en tiempo real de medición de pluviómetros a un servidor web para su posterior procesamiento; sin embargo, este protocolo presenta alto consumo energético y también elevados costos de mantenimiento. En el presente trabajo se realiza una evaluación de tres protocolos de comunicación inalámbrica de baja potencia, Zigbee, LoRaWAN y Sigfox, para determinar cuál es el más adecuado para aplicar a un sistema de alerta temprana que monitorea precipitaciones en la ciudad de Barranquilla. Las métricas estipuladas de evaluación son las características del perfil de enlace, consumo energético y costos de los dispositivos para la implementación del sistema. Para realizar la evaluación se diseñó y caracterizó una red de sensores inalámbricos, la cual se analizó haciendo uso de la herramienta de software libre Radio Mobile; esta herramienta permitió determinar el rendimiento para cada protocolo de comunicación, teniendo en cuenta los puntos de medición implementados con la red GPRS del anterior SAT. Los resultados finales de la simulación muestran al protocolo LoRaWAN como una alternativa viable y de buen rendimiento.application/pdfspaCorporación Universidad de la CostaIngeniería ElectrónicaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rainfall monitoringLoRaWANZigbeeSigfoxRadio mobileMonitoreo de precipitacionesEvaluación de protocolos de comunicación para una red inalámbrica de monitoreo de precipitaciones en zonas urbanasTrabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesishttp://purl.org/redcol/resource_type/TPinfo:eu-repo/semantics/acceptedVersionAcosta-Coll, M., Ballester-Merelo, F., & Martínez-Peiró, M. (2018). Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin. Natural Hazards, 92(2), 1237–1265. https://doi.org/10.1007/s11069-018-3249-4Acosta Coll, M. (2013). Sistemas de Alerta Temprana (S.A.T) para la Reducción del Riesgo de Inundaciones Súbitas y Fenómenos Atmosféricos en el Área Metropolitana de Barranquilla. Scientia et Technica, 18(2), 303–308. https://doi.org/10.22517/23447214.8661Albero, T., Sempere, V., Silvestre, J., & Dabbas, P. (2005). Environmental control system based on mobile devices. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 1 2 VOLS(November 2015), 831–838. https://doi.org/10.1109/etfa.2005.1612612Alliance, L. (2020). LoRaWAN® L2 1.0.4 Specification. 1–75.Ávila, H. (2012). Perspectiva del manejo del drenaje pluvial frente al cambio climático - caso de estudio: ciudad de Barranquilla, Colombia*. Revista de Ingeniería, (36), 54–59. https://doi.org/10.16924/revinge.36.10Avila, L., Ávila, H., & Sisa, A. (2017). A reactive early warning model for urban flash flood management. World Environmental and Water Resources Congress 2017: Water, Wastewater, and Stormwater; Urban Watershed Management; and Municipal Water Infrastructure - Selected Papers from the World Environmental and Water Resources Congress 2017, (August), 372–382. https://doi.org/10.1061/9780784480632.030Balmaceda, J., Aubert, J., & Arias, M. R. (2018). Performance analysis of radio link implementation for low cost deployed WiMAX networks. 2017 IEEE 37th Central America and Panama Convention, CONCAPAN 2017, 2018-Janua, 1–5. https://doi.org/10.1109/CONCAPAN.2017.8278516Bernal, H. A. T. (2020). Análisis De Tecnologías De Comunicaciones Inalámbricas Para Determinar La Mejor Opción a Implementar Para Los Servicios Que Presta La DitgEaab. Retrieved from http://www.elsevier.com/locate/scpBhoyar, P., Sahare, P., Dhok, S. B., & Deshmukh, R. B. (2019). Communication technologies and security challenges for internet of things: A comprehensive review. 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