Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence

Jaime Moreno; Oswaldo Morales; Ricardo Tejeida; Juan Posadas

doi:10.1007/978-3-030-04491-6_5

Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence

Jaime Moreno, Oswaldo Morales, Ricardo Tejeida, Juan Posadas

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Zacatenco

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

Nowadays, thousand and thousand of small devices, such as Microcontroller Units (MCU’s), live around us. These MCU’not only interact with us turning on lights or identifying movement in a House but also they perform small and specific tasks such as sensing different parameters such as temperature, humidity, CO ₂ , adjustment of the environmental lights. In addition there is a huge kind of these MCU’s like SmartPhones or small general purpose devices, ESP8266 or RaspberryPi3 or any kind of Internet of Things (IoT) devices. They are connected to internet to a central node and then they can share their information. The main goal of this article is to connect all the nodes in a fractal way without using a central one, just sharing some parameters with two adjacent nodes, but any member of these nodes knows the parameters of the rest of these devices even if they are not adjacent nodes. With a Hilbert fractal network we can access to the entire network in real time in a dynamic way since we can adapt and reconfigure the topology of the network when a new node is added using tools of Artificial Intelligence for its application in a Smart City.

Idioma original	Inglés
Título de la publicación alojada	Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings
Editores	María de Lourdes Martínez-Villaseñor, Ildar Batyrshin, Hiram Eredín Ponce Espinosa
Editorial	Springer Verlag
Páginas	62-75
Número de páginas	14
ISBN (versión impresa)	9783030044909
DOI	https://doi.org/10.1007/978-3-030-04491-6_5
Estado	Publicada - 2018
Evento	17th Mexican International Conference on Artificial Intelligence, MICAI 2018 - Guadalajara, México Duración: 22 oct. 2018 → 27 oct. 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11288 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	17th Mexican International Conference on Artificial Intelligence, MICAI 2018
País/Territorio	México
Ciudad	Guadalajara
Período	22/10/18 → 27/10/18

ODS de las Naciones Unidas

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10.1007/978-3-030-04491-6_5

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Moreno, J., Morales, O., Tejeida, R., & Posadas, J. (2018). Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence. En M. de Lourdes Martínez-Villaseñor, I. Batyrshin, & H. E. Ponce Espinosa (Eds.), Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings (pp. 62-75). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11288 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-04491-6_5

Moreno, Jaime ; Morales, Oswaldo ; Tejeida, Ricardo et al. / Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence. Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings. editor / María de Lourdes Martínez-Villaseñor ; Ildar Batyrshin ; Hiram Eredín Ponce Espinosa. Springer Verlag, 2018. pp. 62-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = " Nowadays, thousand and thousand of small devices, such as Microcontroller Units (MCU{\textquoteright}s), live around us. These MCU{\textquoteright}not only interact with us turning on lights or identifying movement in a House but also they perform small and specific tasks such as sensing different parameters such as temperature, humidity, CO 2 , adjustment of the environmental lights. In addition there is a huge kind of these MCU{\textquoteright}s like SmartPhones or small general purpose devices, ESP8266 or RaspberryPi3 or any kind of Internet of Things (IoT) devices. They are connected to internet to a central node and then they can share their information. The main goal of this article is to connect all the nodes in a fractal way without using a central one, just sharing some parameters with two adjacent nodes, but any member of these nodes knows the parameters of the rest of these devices even if they are not adjacent nodes. With a Hilbert fractal network we can access to the entire network in real time in a dynamic way since we can adapt and reconfigure the topology of the network when a new node is added using tools of Artificial Intelligence for its application in a Smart City.",

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author = "Jaime Moreno and Oswaldo Morales and Ricardo Tejeida and Juan Posadas",

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Moreno, J, Morales, O, Tejeida, R & Posadas, J 2018, Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence. En M de Lourdes Martínez-Villaseñor, I Batyrshin & HE Ponce Espinosa (eds.), Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11288 LNAI, Springer Verlag, pp. 62-75, 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, México, 22/10/18. https://doi.org/10.1007/978-3-030-04491-6_5

Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence. / Moreno, Jaime; Morales, Oswaldo; Tejeida, Ricardo et al.
Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings. ed. / María de Lourdes Martínez-Villaseñor; Ildar Batyrshin; Hiram Eredín Ponce Espinosa. Springer Verlag, 2018. p. 62-75 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11288 LNAI).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Tejeida, Ricardo

AU - Posadas, Juan

PY - 2018

Y1 - 2018

N2 - Nowadays, thousand and thousand of small devices, such as Microcontroller Units (MCU’s), live around us. These MCU’not only interact with us turning on lights or identifying movement in a House but also they perform small and specific tasks such as sensing different parameters such as temperature, humidity, CO 2 , adjustment of the environmental lights. In addition there is a huge kind of these MCU’s like SmartPhones or small general purpose devices, ESP8266 or RaspberryPi3 or any kind of Internet of Things (IoT) devices. They are connected to internet to a central node and then they can share their information. The main goal of this article is to connect all the nodes in a fractal way without using a central one, just sharing some parameters with two adjacent nodes, but any member of these nodes knows the parameters of the rest of these devices even if they are not adjacent nodes. With a Hilbert fractal network we can access to the entire network in real time in a dynamic way since we can adapt and reconfigure the topology of the network when a new node is added using tools of Artificial Intelligence for its application in a Smart City.

AB - Nowadays, thousand and thousand of small devices, such as Microcontroller Units (MCU’s), live around us. These MCU’not only interact with us turning on lights or identifying movement in a House but also they perform small and specific tasks such as sensing different parameters such as temperature, humidity, CO 2 , adjustment of the environmental lights. In addition there is a huge kind of these MCU’s like SmartPhones or small general purpose devices, ESP8266 or RaspberryPi3 or any kind of Internet of Things (IoT) devices. They are connected to internet to a central node and then they can share their information. The main goal of this article is to connect all the nodes in a fractal way without using a central one, just sharing some parameters with two adjacent nodes, but any member of these nodes knows the parameters of the rest of these devices even if they are not adjacent nodes. With a Hilbert fractal network we can access to the entire network in real time in a dynamic way since we can adapt and reconfigure the topology of the network when a new node is added using tools of Artificial Intelligence for its application in a Smart City.

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Moreno J, Morales O, Tejeida R, Posadas J. Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence. En de Lourdes Martínez-Villaseñor M, Batyrshin I, Ponce Espinosa HE, editores, Advances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings. Springer Verlag. 2018. p. 62-75. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-04491-6_5

Broadcasting and sharing of parameters in an IoT network by means of a fractal of hilbert using swarm intelligence

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