Intelligent SDN-based multi-protocol selector for IoT-enabled NMT networks
Fecha
2021Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
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10.1109/ICKII51822.2021.9574786
Resumen
The popularity of the Internet of Things is increasing and it is being used in many commercial sectors, using customized technologies for specific environments. Applications and protocols, and the unique requirements of each environment, pose a significant challenge for IoT applications, necessitating communication and message exchange support. This paper aims to propose an intelligent SDN-Based ...
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The popularity of the Internet of Things is increasing and it is being used in many commercial sectors, using customized technologies for specific environments. Applications and protocols, and the unique requirements of each environment, pose a significant challenge for IoT applications, necessitating communication and message exchange support. This paper aims to propose an intelligent SDN-Based multi-protocol selector for IoT-enabled NMT (NonMotorized Transportation) networks. The main goal of this work is to give the mobile nodes within IoT-enabled NMT networks the flexibility to choose the appropriate wireless communication protocol from several protocols they have to transmit information according to criteria, including battery life, data size and priority of the packet, to pass the most important data first. [--]
Materias
Internet of Things (IoT),
Software defined network (SDN),
Wireless communication protocols
Editor
IEEE
Publicado en
2021 IEEE 4th International Conference on Knowledge Innovation and Invention (ICKII), 2021, pp. 30-33
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
This work was supported by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España, Agencia Estatal de Investigación, Fondo Europeo de Desarrollo Regional and Unión Europea (MCIU/AEI/FEDER,UE), under Grant RTI2018-095499-B-C31.