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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Soft Computing - 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Proceedings
EditorsMaría de Lourdes Martínez-Villaseñor, Ildar Batyrshin, Hiram Eredín Ponce Espinosa
PublisherSpringer Verlag
Pages62-75
Number of pages14
ISBN (Print)9783030044909
DOIs
StatePublished - 2018
Event17th Mexican International Conference on Artificial Intelligence, MICAI 2018 - Guadalajara, Mexico
Duration: 22 Oct 201827 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11288 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Mexican International Conference on Artificial Intelligence, MICAI 2018
Country/TerritoryMexico
CityGuadalajara
Period22/10/1827/10/18

Keywords

  • Adaptive algorithms
  • ESP8266
  • Hilbert fractal
  • IoT
  • RaspberryPi3
  • Swarm Intelligence

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