Design of a network with sensor-cloud technology applied to traffic accident prevention
The main goal of this research is to facilitate the connection of sensors, people and objects to build a centralized community with parameter measurement applications, where people can share and analyze sensor data in real-time. For example, public institutions that plan, regulate and control land t...
- Autores:
-
Viloria, Amelec
Varela, Noel
Herazo-Beltran, Yaneth
Pineda Lezama, Omar Bonerge
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7701
- Acceso en línea:
- https://hdl.handle.net/11323/7701
https://doi.org/10.1007/978-981-15-7234-0_86
https://repositorio.cuc.edu.co/
- Palabra clave:
- WSN
Cloud computing
6LowPAN
Sensor cloud
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Design of a network with sensor-cloud technology applied to traffic accident prevention |
| title |
Design of a network with sensor-cloud technology applied to traffic accident prevention |
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Design of a network with sensor-cloud technology applied to traffic accident prevention WSN Cloud computing 6LowPAN Sensor cloud |
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Design of a network with sensor-cloud technology applied to traffic accident prevention |
| title_full |
Design of a network with sensor-cloud technology applied to traffic accident prevention |
| title_fullStr |
Design of a network with sensor-cloud technology applied to traffic accident prevention |
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Design of a network with sensor-cloud technology applied to traffic accident prevention |
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Design of a network with sensor-cloud technology applied to traffic accident prevention |
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Viloria, Amelec Varela, Noel Herazo-Beltran, Yaneth Pineda Lezama, Omar Bonerge |
| dc.contributor.author.spa.fl_str_mv |
Viloria, Amelec Varela, Noel Herazo-Beltran, Yaneth Pineda Lezama, Omar Bonerge |
| dc.subject.spa.fl_str_mv |
WSN Cloud computing 6LowPAN Sensor cloud |
| topic |
WSN Cloud computing 6LowPAN Sensor cloud |
| description |
The main goal of this research is to facilitate the connection of sensors, people and objects to build a centralized community with parameter measurement applications, where people can share and analyze sensor data in real-time. For example, public institutions that plan, regulate and control land transport, traffic and road safety, and that aim to increase the level of road safety, would be able to prevent traffic accidents by monitoring public transport vehicles in real-time. To obtain real-time data, transport units would be installed with biosensors and a video camera, which would send a series of data automatically for storage and processing in the sensor cloud. The data will allow the recognition of facial expressions and the analysis of physiological variables to determine the driver’s mood, according to which immediate actions will be taken to control this variable; and through an audible alarm or a led screen, the actions to be taken by the driver or the passenger would be explained, and even an automatic setting of the interior of the vehicle can be carried out and the emergency units informed according to the case. |
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2021 |
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2021-01-15T21:46:04Z |
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2021 |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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1.Ye Q, Zhuang W (2017) Distributed and adaptive medium access control for Internet-of-Things-enabled mobile networks. IEEE Internet Things J 4(2):446–460 2.Agencia Nacional de Regulación y Control del Transporte Terrestre (2015) Proyecto Seguridad Integral para el Transporte Público y Comercial. Ecuador 3.Delgado C et al (2018) Joint application admission control and network slicing in virtual sensor networks. IEEE Internet Things J 5(1):28–43 4.Alamri A, Shadab Ansari W, Mehedi Hassan M, Shamim Hossain M, Alelaiwi A, Anwar Hossain M (2013) A survey on sensor-cloud: architecture, applications, and approaches. Int J Distrib Sens Netw 9(2) 5.Giraldo MA(Mayo de 2013) Estudio y Simulación de Redes Ad-Hoc Vehiculares VANETS. Universidad Católica de Pereira Ingeniería de Sistemas y Telecomunicaciones 6.Hernandez J (2014) AutoEmotive, bringing empathy to the driving experience to manage stress. MIT Media Lab, Cambridge 7.Hernández JV (2010) Redes inalámbricas de sensores: una nueva arquitectura eficiente y robusta basada en jerarquía dinámica de grupos. Editorial Universitat Politècnica de València, Valencia 8.Beng LH (2009) Sensor cloud: towards sensor-enabled cloud services. Intelligent Systems Center Nanyang Technological University 9.Consuegra MC (2014) Conectando los vehículos a Internet en el sistema de transporte inteligente estandarizado por el ETSI. Departamento de Ingeniería Telemática, Leganés 10.ESEC (2014) Introducción a las Redes de Sensores Inalámbricas. Plataforma Tecnológica Española, España 11.Misra S, Chatterjee S, Obaidat MS (2017) On theoretical modeling of sensor cloud: a paradigm shift from wireless sensor network. IEEE Syst J 11(2):1084–1093 12.Fundación Comisariado Europeo del Automóvil (2015) Informe sobre la influencia de la fatiga y el sueño en la conducción. Fundación CEA. Recuperado de 13.Ibañez P (2011) Sistemas de detección en los coches para evitar accidentes. Xataka. 14.Joyanes L (2012) Computación en la nube. Estrategias de Cloud Computing en las empresas. Alfaomega 15.Bharat KS, Priyanka AN (2014) Sensor information management using cloud computing. Int J Comput Appl 103(14) 16.Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J. 1(1):22–32 17.Roberto Fernández Martínez JO (2009) Redes inalámbricas de Sensores: Teoría y Aplicación Práctica. España: Grupo de Investigación EDMANS-Universidad de la Rioja 18.Scanaill MJ (2013) Sensor technologies, healthcare, wellness and environmental applications. Apress open. Int J Comput Appl 14(103):14–22 19.Kelion L (2014) Crean dispositivo que detecta las emociones humanas a partir de la piel. BBC News. Recuperado de 1–20. 20.Mell P, Grance T (2011) The NIST definition of cloud computing. Recommendations of the National Institute of Standards and Technology. National Institute of Standards and Technology, 800–845. Recuperado de 21.Mohapatra S (2014) The scalable architecture for future generation computing. Department of Computer Science and Engineering. National Institute of Technology, Springer, India, pp 963–974 22.Dinh T, Kim Y (2017) An efficient sensor-cloud interactive model for on-demand latency requirement guarantee. In: 2017 IEEE International Conference on Communications (ICC). pp 1–6 23.Peñaherrera AF (2009) Pago electrónico a través de teléfonos móviles. ESPOL, Guayaquil, pp 85–96 24.Amelec V (2015) Increased efficiency in a company of development of technological solutions in the areas commercial and of consultancy. Adv Sci Lett 21(5):1406–1408 25.Viloria A, Robayo PV (2016) Inventory reduction in the supply chain of finished products for multinational companies. Indian J Sci Technol 8(1):47–55 |
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Viloria, AmelecVarela, NoelHerazo-Beltran, YanethPineda Lezama, Omar Bonerge2021-01-15T21:46:04Z2021-01-15T21:46:04Z2021https://hdl.handle.net/11323/7701https://doi.org/10.1007/978-981-15-7234-0_86Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The main goal of this research is to facilitate the connection of sensors, people and objects to build a centralized community with parameter measurement applications, where people can share and analyze sensor data in real-time. For example, public institutions that plan, regulate and control land transport, traffic and road safety, and that aim to increase the level of road safety, would be able to prevent traffic accidents by monitoring public transport vehicles in real-time. To obtain real-time data, transport units would be installed with biosensors and a video camera, which would send a series of data automatically for storage and processing in the sensor cloud. The data will allow the recognition of facial expressions and the analysis of physiological variables to determine the driver’s mood, according to which immediate actions will be taken to control this variable; and through an audible alarm or a led screen, the actions to be taken by the driver or the passenger would be explained, and even an automatic setting of the interior of the vehicle can be carried out and the emergency units informed according to the case.Viloria, AmelecVarela, NoelHerazo-Beltran, YanethPineda Lezama, Omar Bonergeapplication/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Advances in Intelligent Systems and Computinghttps://link.springer.com/chapter/10.1007/978-981-15-7234-0_86WSNCloud computing6LowPANSensor cloudDesign of a network with sensor-cloud technology applied to traffic accident preventionArtículo 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/acceptedVersion1.Ye Q, Zhuang W (2017) Distributed and adaptive medium access control for Internet-of-Things-enabled mobile networks. IEEE Internet Things J 4(2):446–4602.Agencia Nacional de Regulación y Control del Transporte Terrestre (2015) Proyecto Seguridad Integral para el Transporte Público y Comercial. Ecuador3.Delgado C et al (2018) Joint application admission control and network slicing in virtual sensor networks. IEEE Internet Things J 5(1):28–434.Alamri A, Shadab Ansari W, Mehedi Hassan M, Shamim Hossain M, Alelaiwi A, Anwar Hossain M (2013) A survey on sensor-cloud: architecture, applications, and approaches. Int J Distrib Sens Netw 9(2)5.Giraldo MA(Mayo de 2013) Estudio y Simulación de Redes Ad-Hoc Vehiculares VANETS. Universidad Católica de Pereira Ingeniería de Sistemas y Telecomunicaciones6.Hernandez J (2014) AutoEmotive, bringing empathy to the driving experience to manage stress. MIT Media Lab, Cambridge7.Hernández JV (2010) Redes inalámbricas de sensores: una nueva arquitectura eficiente y robusta basada en jerarquía dinámica de grupos. Editorial Universitat Politècnica de València, Valencia8.Beng LH (2009) Sensor cloud: towards sensor-enabled cloud services. Intelligent Systems Center Nanyang Technological University9.Consuegra MC (2014) Conectando los vehículos a Internet en el sistema de transporte inteligente estandarizado por el ETSI. Departamento de Ingeniería Telemática, Leganés10.ESEC (2014) Introducción a las Redes de Sensores Inalámbricas. Plataforma Tecnológica Española, España11.Misra S, Chatterjee S, Obaidat MS (2017) On theoretical modeling of sensor cloud: a paradigm shift from wireless sensor network. IEEE Syst J 11(2):1084–109312.Fundación Comisariado Europeo del Automóvil (2015) Informe sobre la influencia de la fatiga y el sueño en la conducción. Fundación CEA. Recuperado de13.Ibañez P (2011) Sistemas de detección en los coches para evitar accidentes. Xataka.14.Joyanes L (2012) Computación en la nube. Estrategias de Cloud Computing en las empresas. Alfaomega15.Bharat KS, Priyanka AN (2014) Sensor information management using cloud computing. Int J Comput Appl 103(14)16.Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J. 1(1):22–3217.Roberto Fernández Martínez JO (2009) Redes inalámbricas de Sensores: Teoría y Aplicación Práctica. España: Grupo de Investigación EDMANS-Universidad de la Rioja18.Scanaill MJ (2013) Sensor technologies, healthcare, wellness and environmental applications. Apress open. Int J Comput Appl 14(103):14–2219.Kelion L (2014) Crean dispositivo que detecta las emociones humanas a partir de la piel. BBC News. Recuperado de 1–20.20.Mell P, Grance T (2011) The NIST definition of cloud computing. Recommendations of the National Institute of Standards and Technology. National Institute of Standards and Technology, 800–845. Recuperado de21.Mohapatra S (2014) The scalable architecture for future generation computing. Department of Computer Science and Engineering. National Institute of Technology, Springer, India, pp 963–97422.Dinh T, Kim Y (2017) An efficient sensor-cloud interactive model for on-demand latency requirement guarantee. In: 2017 IEEE International Conference on Communications (ICC). pp 1–623.Peñaherrera AF (2009) Pago electrónico a través de teléfonos móviles. ESPOL, Guayaquil, pp 85–9624.Amelec V (2015) Increased efficiency in a company of development of technological solutions in the areas commercial and of consultancy. Adv Sci Lett 21(5):1406–140825.Viloria A, Robayo PV (2016) Inventory reduction in the supply chain of finished products for multinational companies. 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