Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida
Wireless sensor networks have a wide range of applications and many pending challenges, especially those related to the evolution of digital electronics, bandwidth, reduction of implementation costs, network coverage and processing capacity. This document proposes a configuration of multi-hop wirele...
- Autores:
-
Rodríguez Merchán, Eduardo
Fuentes Espinoza, Pablo Gustavo
Benítez Pina, Israel Francisco
Reina Tabares, Danner
Núñez Alvarez, José Ricardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
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- https://hdl.handle.net/11323/6234
https://doi.org/10.4995/riai.2020.12301
https://repositorio.cuc.edu.co/
- Palabra clave:
- Redes de sensores inalámbricas
Comunicaciones y redes de comunicaciones
Redes multisalto
Control con microprocesador
QoS
Arquitecturas de control distribuido
Sensors
Networks
Communications systems
Communications networks
Microprocessors
Architectures
Distributed control
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- openAccess
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- CC0 1.0 Universal
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dc.title.spa.fl_str_mv |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
title |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
spellingShingle |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida Redes de sensores inalámbricas Comunicaciones y redes de comunicaciones Redes multisalto Control con microprocesador QoS Arquitecturas de control distribuido Sensors Networks Communications systems Communications networks Microprocessors Architectures Distributed control |
title_short |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
title_full |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
title_fullStr |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
title_full_unstemmed |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
title_sort |
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida |
dc.creator.fl_str_mv |
Rodríguez Merchán, Eduardo Fuentes Espinoza, Pablo Gustavo Benítez Pina, Israel Francisco Reina Tabares, Danner Núñez Alvarez, José Ricardo |
dc.contributor.author.spa.fl_str_mv |
Rodríguez Merchán, Eduardo Fuentes Espinoza, Pablo Gustavo Benítez Pina, Israel Francisco Reina Tabares, Danner Núñez Alvarez, José Ricardo |
dc.subject.spa.fl_str_mv |
Redes de sensores inalámbricas Comunicaciones y redes de comunicaciones Redes multisalto Control con microprocesador QoS Arquitecturas de control distribuido Sensors Networks Communications systems Communications networks Microprocessors Architectures Distributed control |
topic |
Redes de sensores inalámbricas Comunicaciones y redes de comunicaciones Redes multisalto Control con microprocesador QoS Arquitecturas de control distribuido Sensors Networks Communications systems Communications networks Microprocessors Architectures Distributed control |
description |
Wireless sensor networks have a wide range of applications and many pending challenges, especially those related to the evolution of digital electronics, bandwidth, reduction of implementation costs, network coverage and processing capacity. This document proposes a configuration of multi-hop wireless network oriented to intelligent domotic installations, based on 32-bit microcontrollers and low cost wireless communication modules, which allows to have complete coverage between the devices of the home automation system with a reduced loss of data, improvement in the processing capacity, adaptability and scalability in the nodes. The evaluation of network performance considers the following metrics: response time, network reach, scalability and precision. The experimental results determined a successful adaptation of the AODV multi-hop protocol, allowing sufficient coverage for a single-family house, at transmission speeds of 250Kbps, which guarantees the integrity and security of the data. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-04-22T01:42:16Z |
dc.date.available.none.fl_str_mv |
2020-04-22T01:42:16Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
1697-7920 1697-7912 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/6234 |
dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.4995/riai.2020.12301 |
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/ |
identifier_str_mv |
1697-7920 1697-7912 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/6234 https://doi.org/10.4995/riai.2020.12301 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.references.spa.fl_str_mv |
Ahmad, A., Roslan, M. F., & Amira, A., 2017. Throughput, latency and cost comparisons of microcontroller-based implementations of wireless sensor network (WSN) in high jump sports. In AIP Conference Proceedings (Vol. 1883, No. 1, p. 020010). AIP Publishing. Abdellaoui, M., Gargouri, R., Mezghani, M., 2014. Optimization of WSNs Flooding Rates by Khalimsky Topology. Transactions on Networks and Communications, 2(6), 25-38. Al-Haija, Q. A., Al-Qadeeb, H., & Al-Lwaimi, A., 2013. Case Study: Monitoring of AIR quality in King Faisal University using a microcontroller and WSN. Procedia Computer Science, 21, 517-521. Asencio, G., Maestre, J., Escaño, J., Martín Macareno, C., Molina, M., Camacho, E., 2011. Interoperabilidad en Sistemas Domóticos Mediante Pasarela Infrarrojos-ZigBee. Revista Iberoamericana de Automática e Informática industrial 8(4), 397-404. DOI:10.1016/j.riai.2011.09.002 Baroudi, U., Bin-Yahya, M., Alshammari, M., Yaqoub, U., 2019. Ticketbased QoS routing optimization using genetic algorithm for WSN applications in smart grid. Journal of Ambient Intelligence and Humanized Computing, 10(4), 1325-1338. Belagali, R., Anusha, A. M., Sangulagi, P., 2015. Energy-Efficient Secure Routing and Aggregation in Military Sensor Network using Multi-Agent Approach. In Applied and Theoretical Computing and Communication Technology (iCATccT), 2015 International Conference on 286-292. IEEE. DOI: 10.1109/ICATCCT.2015.7456897 Benítez, J. D., Sosa, E. O., Godoy, D. A., Belloni, E. A., Favret, F., Bareiro, H., Urdinola, R., Olivera, M., 2017. Ampliando la Vida Útil de las WSN por Medio de los Protocolos de Ruteo, Modificación de AODV. In XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017, ITBA, Buenos Aires). URL: http://sedici.unlp.edu.ar/handle/10915/61567 Bondorf, S., Jens, B. S., 2010. Statistical response time bounds in randomly deployed wireless sensor networks. In Local Computer Networks (LCN). IEEE 35th Conference on 340-343. IEEE. DOI: 10.1109/LCN.2010.5735738 Campamá, D. S., 2012. Sistema operativo para redes inalámbrica de sensores. Tesis de maestría, Pontificia Universidad católica de Chile. URL: https://repositorio.uc.cl/handle/11534/1723 Di Nisio, A., Di Noia, T., Carducci, C. G. C., & Spadavecchia, M., 2016. High dynamic range power consumption measurement in microcontroller-based applications. IEEE Transactions on Instrumentation and Measurement, 65(9), 1968-1976. Escribano, J., García, A., de la Fuente, M., 2011. Monitorización de la Condición Física de Personas en Espacios Confinados Mediante Etiquetas RFID con Sensores y Redes Inalámbricas Eficientes. Revista Iberoamericana de Automática e Informática industrial 8(4), 371-384. Espressif Systems, 2018. ESP8266 Non-OS SDK. Version 3.0. URL: https://www.espressif.com/sites/default/files/documentation/2cesp8266_non_os_sdk_api_reference_en.pdf Espressif, 2016. ESP8266 Mesh User Guide. Version 1.2. URL: https://docplayer.net/33922006-Esp8266-mesh-user-guide.html Fajriansyah, B., Ichwan, M., & Susana, R., 2016. Evaluasi Karakteristik XBee Pro dan nRF24L01 sebagai Transceiver Nirkabel. ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, 4(1), 83. Fischione, C., 2014. An Introduction to Wireless Sensor Networks. Royal Institute of technology. Draft, version 1.8. URL: https://www.kth.se/social/files/5431a388f276540a05ad2514/An_Introduc tion_WSNS_V1.8.pdf. García, D., 2015. Estudio de 6loWPAN para su aplicación a Internet de las Cosas. Trabajo de fin de grado. URL: https://riull.ull.es/xmlui/bitstream/handle/915/945/Estudio+de+6loWPAN +para+su+aplicacion+a+Internet+de+las+Cosas.pdf?sequence=1. Hong, S. H., Kim, B., Eom, D. S., 2007. A base-station centric data gathering routing protocol in sensor networks useful in home automation applications. IEEE Transactions on Consumer Electronics 53(3), 945- 951. DOI: 10.1109/TCE.2007.4341570 Hsieh, F. S., Lin, J. B., 2014. A multiagent approach for managing collaborative workflows in supply chains. In Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 71-76. IEEE. DOI: 10.1109/CSCWD.2014.6846819 Jaggi, S., and Wasson, E., 2016. Enhanced OLSR Routing Protocol Using Link-Break Prediction Mechanism for WSN. Industrial Engineering & Management Systems, 15(3), 259-267. Kailas, A., Cecchi, V., & Mukherjee, A., 2012. A survey of communications and networking technologies for energy management in buildings and home automation. Journal of Computer Networks and Communications, 2012(932181), 1-6. DOI: 10.1155/2012/932181. Kelly, S. D. T., Suryadevara, N. K., Mukhopadhyay, S. C., 2013.Towards the Implementation of IoT for Environmental Condition Monitoring in Homes. IEEE Sensors Journal 13(10), 3846-3853. DOI: 10.1109/JSEN.2013.2263379 Li, M., Lin H. J., 2015. Design and Implementation of Smart Home Control Systems Based on Wireless Sensor Networks and Power Line Communications. IEEE Transactions On Industrial Electronics 62(7). 4430-4442. DOI: 10.1109/TIE.2014.2379586 Liao, C., Zhu, K., Tang, J., Zhang, S., 2016. Wireless Sensor Network Performance Research for LEACH Based on Multi-Agent Simulation. IEEE International Conference on Agents (ICA) 98-99. IEEE. DOI: 10.1109/ICA.2016.031 López Torres, V. 2014. Diseño de un modelo de red domótica libre basada en componentes OpenDomo para aplicación a un pequeño hotel. Magno, M., Polonelli, T., Benini, L., Popovici, E., 2015. A Low Cost, Highly Scalable Wireless Sensor Network Solution to Achieve Smart LED Light Control for Green Buildings. IEEE Sensors Journal 15(5), 2963-2973. DOI: 10.1109/JSEN.2014.2383996 Manda, S., Shukla, Y., Shrivastava, K., Patil, T. B., & Sawant-Patil, S. T., 2018. A Literature Survey on Wireless Sensor Network in Home Automation Based on Internet of Things. Medina, C., 2017. Control de Congestión en Redes Inalámbicas de Sensores. Tesis de maestría, Pontificia Universidad Javeriana. Bogota - Colombia. Mezghani, M., Abdellaoui, P., 2015. WSN intelligent communication based on Khalimsky theory using multi-agent systems. In 2015 SAI Intelligent Systems Conference (IntelliSys) (pp. 871-876). IEEE. Microchip, 2020. URL: https://www.microchip.com/wwwproducts/en/ PIC16F628A Mostafaei, H., 2019. Energy-efficient algorithm for reliable routing of wireless sensor networks. IEEE Transactions on Industrial Electronics, 66(7), 5567-5575. Narten, T., Nordmark, E., Simpson, W., Soliman, H., 2007. Neighbor Discovery for IP version 6 (IPv6). RFC 4861, DOI 10.17487/RFC4861. Nikoukar, A., Raza, S., Poole, A., Güneş, M., & Dezfouli, B., 2018. Lowpower wireless for the internet of things: Standards and applications. IEEE Access, 6, 67893-67926. Nordic Semiconductor. (2008). nRF24L01 Single Chip 2.4GHz Transceiver. URL: https://www.nordicsemi.com/DocLib?Product=nRF24 Núñez, José Ricardo et al., 2019. Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red. Revista Iberoamericana de Automática e Informática industrial, [S.l.], v. 17, n. 1, p. 94-105. https://doi.org/10.4995/riai.2019.11449 Nuñez, J. R., Benítez, I.F., Rodriguez, A., Diaz, S., Oliveira, D., 2019. Tools for the implementation of a SCADA system in a desalination process. IEEE Latin America Transactions, 17(11), 1858-1864. DOI: 10.1109/TLA.2019.8986424 Paavola, M., Leiviska, K., 2010. Wireless Sensor Networks in Industrial Automation. In Factory Automation. InTech. DOI: 10.5772/9532. Peñín, P., Díaz, A., Medina, J., Sánchez P., 2017. High-Level Design of Wireless Sensor Networks for Performance Optimization Under Security Hazards. ACM Transactions on Sensor Networks (TOSN) 13(3), 19. DOI: 10.1145/3078359. Perkins, C., Belding, E., Das, S., 2003. Ad hoc On-Demand Distance Vector (AODV) Routing. (No. RFC 3561). DOI: 10.17487/RFC3561 Posadas Yagüe, J. L., & Poza Luján, J. L. (2009). Revisión de las arquitecturas de control distribuido. URL: https://riunet.upv.es/handle/10251/6407 Qin, J., Fu, W., Gao, H., Xing W., 2016. Distributed k-Means Algorithm and Fuzzy c-Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory. IEEE transactions on cybernetics, 47(3), 772-783. DOI: 10.1109/TCYB.2016.2526683. Randhawa, S., 2014. Research Challenges in Wireless Sensor Network: A State of the Play. Conference Proceeding of National Conference of Science, Engineering y Management in Education and Research. arXiv preprint arXiv:1404.1469v1 [cs.NI] Rawat, P., Singh, K. D., Chaouchi, H., Bonnin, J. M., 2014. Wireless sensor networks: A survey on recent developments and potential synergies. The Journal of Supercomputing 68(1), 1-48. DOI:10.1007/s11227-013-1021-9 Rodríguez, A., 2011. Sistemas SCADA. Tercera Edición. Marcombo: Barcelona. ISBN: 978-8426717818. Saha, Himadri & Mandal, Shashwata & Mitra, Shinjan & Banerjee, Soham & Saha, Urmi., 2017. Comparative Performance Analysis between nRF24L01+ and XBEE ZB Module Based Wireless Ad-hoc Networks. International Journal of Computer Network and Information Security. 9. 36-44. 10.5815/ijcnis.2017.07.05. Saravanan, S., Poovazhaki, R., Shanker, N., 2018. Cluster Topology in WSN with SCPS for QoS. Wireless Personal Communications, 99(3), 12951314. STMicroelectronics, 2018. STM32F103xC STM32F103x, STM32F103xE. DS5792 Rev 13. URL: https://www.st.com/resource/en/datasheet/stm32f103rc.pdf STMicroelectronics, 2019. STM32F030x4 STM32F030x6 STM32F030x8 STM32F030xC. DS9773 Rev 4. URL: https://www.st.com/resource/en/datasheet/stm32f030f4.pdf Snigdh, I., & Gupta, N. 2016. Quality of service metrics in wireless sensor networks: A survey. Journal of The Institution of Engineers (India): Series B, 97(1), 91-96. Suárez, A., and Núñez, J. R., 2019. 1D Convolutional Neural Network for Detecting Ventricular Heartbeats. IEEE Latin America Transactions, 17(12), 1970-1977. DOI: 10.1109/TLA.2019.9011541. Sutagundar, A., Bennur, V., Anusha, A., Bhanu, K., 2016. Agent Based Fault Tolerance in Wireless Sensor Networks. 2016 International Conference on Inventive Computation Technologies (ICICT) 1, 1-6. IEEE. Valencia, G., Núñez, J., Vanegas, M., 2020. Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar-Colombia. Data in Brief, 27, 104753. DOI: 10.1016/j.dib.2019.104753 Vidhya, S., Sasilatha, T., 2018. Secure Data Transfer Using Multi Layer Security Protocol with Energy Power Consumption AODV in Wireless Sensor Networks. Wireless Personal Communications, 103(4), 30553077. Villarrubia, G., De Paz, J., De La Iglesia, D., Bajo, J., 2017. Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation. 17(8), 1775. DOI: https://doi.org/10.3390/s17081775 Wadhwa, L., Deshpande, R., Priye, V., 2016. Extended shortcut tree routing for ZigBee based wireless sensor network. Ad Hoc Networks, 37, 295300. Yang, S.H., 2014. Wireless Sensor Network. Londres, Reino Unido: Springer. ISBN 978-1-4471-5505-8. Yu, K., Xie, Z., Qian, J., y Jin, G., 2013. The Implementation of Electronic Intelligent Tag System Based on Wireless Sensor Network. Communications and Network 5(01), 39. Doi:10.4236/cn.2013.51B010. Zhang, Z., Mehmood, A., Shu, L., Huo, Z., Zhang, Y., & Mukherjee, M., 2018. A survey on fault diagnosis in wireless sensor networks. IEEE Access, 6, 11349-11364. |
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Rodríguez Merchán, EduardoFuentes Espinoza, Pablo GustavoBenítez Pina, Israel FranciscoReina Tabares, DannerNúñez Alvarez, José Ricardo2020-04-22T01:42:16Z2020-04-22T01:42:16Z20171697-79201697-7912https://hdl.handle.net/11323/6234https://doi.org/10.4995/riai.2020.12301Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Wireless sensor networks have a wide range of applications and many pending challenges, especially those related to the evolution of digital electronics, bandwidth, reduction of implementation costs, network coverage and processing capacity. This document proposes a configuration of multi-hop wireless network oriented to intelligent domotic installations, based on 32-bit microcontrollers and low cost wireless communication modules, which allows to have complete coverage between the devices of the home automation system with a reduced loss of data, improvement in the processing capacity, adaptability and scalability in the nodes. The evaluation of network performance considers the following metrics: response time, network reach, scalability and precision. The experimental results determined a successful adaptation of the AODV multi-hop protocol, allowing sufficient coverage for a single-family house, at transmission speeds of 250Kbps, which guarantees the integrity and security of the data.Las redes de sensores inalámbricos disponen de un campo muy amplio de aplicaciones y aún muchos desafíos pendientes, especialmente aquellos relacionados con la evolución de la electrónica digital, ancho de banda, reducción de costos de implementación, cobertura de red y capacidad de procesamiento. Este documento propone una configuración de red inalámbrica multisalto orientada a instalaciones domóticas inteligentes, basadas en microcontroladores de 32 bits y módulos de comunicación inalámbrica de bajo costo, que permita tener cobertura completa entre los dispositivos del sistema domótico con una reducida pérdida de datos, mejora en la capacidad de procesamiento, adaptabilidad y escalabilidad en los nodos sensores. La evaluación del desempeño de la red considera las siguientes métricas: tiempo de respuesta, alcance de red, escalabilidad y precisión. Los resultados experimentales determinaron una adaptación exitosa del protocolo multisalto AODV, permitiendo una cobertura suficiente para una vivienda unifamiliar, a una velocidad de transmisión de 250Kbps, que garantiza la integridad y seguridad de los datos.Rodríguez Merchán, Eduardo Vicente-will be generated-orcid-0000-0003-3687-7974-600Fuentes Espinoza, Pablo GustavoBenítez Pina, Israel FranciscoReina Tabares, DannerNúñez Alvarez, José Ricardo-will be generated-orcid-0000-0002-6607-7305-600spaRevista Iberoamericana de Automatica e Informatica IndustrialCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Redes de sensores inalámbricasComunicaciones y redes de comunicacionesRedes multisaltoControl con microprocesadorQoSArquitecturas de control distribuidoSensorsNetworksCommunications systemsCommunications networksMicroprocessorsArchitecturesDistributed controlRed de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendidaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionAhmad, A., Roslan, M. F., & Amira, A., 2017. Throughput, latency and cost comparisons of microcontroller-based implementations of wireless sensor network (WSN) in high jump sports. In AIP Conference Proceedings (Vol. 1883, No. 1, p. 020010). AIP Publishing.Abdellaoui, M., Gargouri, R., Mezghani, M., 2014. Optimization of WSNs Flooding Rates by Khalimsky Topology. Transactions on Networks and Communications, 2(6), 25-38.Al-Haija, Q. A., Al-Qadeeb, H., & Al-Lwaimi, A., 2013. Case Study: Monitoring of AIR quality in King Faisal University using a microcontroller and WSN. Procedia Computer Science, 21, 517-521.Asencio, G., Maestre, J., Escaño, J., Martín Macareno, C., Molina, M., Camacho, E., 2011. Interoperabilidad en Sistemas Domóticos Mediante Pasarela Infrarrojos-ZigBee. Revista Iberoamericana de Automática e Informática industrial 8(4), 397-404. DOI:10.1016/j.riai.2011.09.002Baroudi, U., Bin-Yahya, M., Alshammari, M., Yaqoub, U., 2019. Ticketbased QoS routing optimization using genetic algorithm for WSN applications in smart grid. Journal of Ambient Intelligence and Humanized Computing, 10(4), 1325-1338.Belagali, R., Anusha, A. M., Sangulagi, P., 2015. Energy-Efficient Secure Routing and Aggregation in Military Sensor Network using Multi-Agent Approach. In Applied and Theoretical Computing and Communication Technology (iCATccT), 2015 International Conference on 286-292. IEEE. DOI: 10.1109/ICATCCT.2015.7456897Benítez, J. D., Sosa, E. O., Godoy, D. A., Belloni, E. A., Favret, F., Bareiro, H., Urdinola, R., Olivera, M., 2017. Ampliando la Vida Útil de las WSN por Medio de los Protocolos de Ruteo, Modificación de AODV. In XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017, ITBA, Buenos Aires). URL: http://sedici.unlp.edu.ar/handle/10915/61567Bondorf, S., Jens, B. S., 2010. Statistical response time bounds in randomly deployed wireless sensor networks. In Local Computer Networks (LCN). 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