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Article

Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal

by
Jesus Jaime Moreno Escobar
1,*,
Oswaldo Morales Matamoros
1,
Ixchel Lina Reyes
1,
Ricardo Tejeida-Padilla
2,
Liliana Chanona Hernández
1 and
Juan Pablo Francisco Posadas Durán
1
1
Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional, Mexico City 07340, Mexico
2
Escuela Superior de Turismo, Instituto Politécnico Nacional, Mexico City 07630, Mexico
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2855; https://doi.org/10.3390/s20102855
Submission received: 11 April 2020 / Revised: 13 May 2020 / Accepted: 13 May 2020 / Published: 18 May 2020
(This article belongs to the Special Issue Intelligent Energy Management for Wireless Sensor Networks and Internet of Things)
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Abstract

The Industrial Internet of Things (IIoT) network generates great economic benefits in processes, system installation, maintenance, reliability, scalability, and interoperability. Wireless sensor networks (WSNs) allow the IIoT network to collect, process, and share data of different parameters among Industrial IoT sense Node (IISN). ESP8266 are IISNs connected to the Internet by means of a hub to share their information. In this article, a light-diffusion algorithm in WSN to connect all the IISNs is designed, based on the Peano fractal and swarm intelligence, i.e., without using a hub, simply sharing parameters with two adjacent IINSs, assuming that any IISN knows the parameters of the rest of these devices, even if they are not adjacent. We simulated the performance of our algorithm and compared it with other state-of-the-art protocols, finding that our proposal generates a longer lifetime of the IIoT network when few IISNs were connected. Thus, there is a saving-energy of approximately 5% but with 64 nodes there is a saving of more than 20%, because the IIoT network can grow in a 3 n way and the proposed topology does not impact in a linear way but log 3 , which balances energy consumption throughout the IIoT network.
Keywords: energy-efficient systems; industrial Internet of things; software-defined network; peano fractal curve; swarm intelligence energy-efficient systems; industrial Internet of things; software-defined network; peano fractal curve; swarm intelligence

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MDPI and ACS Style

Moreno Escobar, J.J.; Morales Matamoros, O.; Lina Reyes, I.; Tejeida-Padilla, R.; Chanona Hernández, L.; Posadas Durán, J.P.F. Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal. Sensors 2020, 20, 2855. https://doi.org/10.3390/s20102855

AMA Style

Moreno Escobar JJ, Morales Matamoros O, Lina Reyes I, Tejeida-Padilla R, Chanona Hernández L, Posadas Durán JPF. Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal. Sensors. 2020; 20(10):2855. https://doi.org/10.3390/s20102855

Chicago/Turabian Style

Moreno Escobar, Jesus Jaime, Oswaldo Morales Matamoros, Ixchel Lina Reyes, Ricardo Tejeida-Padilla, Liliana Chanona Hernández, and Juan Pablo Francisco Posadas Durán. 2020. "Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal" Sensors 20, no. 10: 2855. https://doi.org/10.3390/s20102855

APA Style

Moreno Escobar, J. J., Morales Matamoros, O., Lina Reyes, I., Tejeida-Padilla, R., Chanona Hernández, L., & Posadas Durán, J. P. F. (2020). Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal. Sensors, 20(10), 2855. https://doi.org/10.3390/s20102855

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