TY - JOUR
T1 - Energy-efficient industrial internet of things software-defined network by means of the peano fractal
AU - Escobar, Jesus Jaime Moreno
AU - Matamoros, Oswaldo Morales
AU - Reyes, Ixchel Lina
AU - Tejeida-Padilla, Ricardo
AU - Hernández, Liliana Chanona
AU - Durán, Juan Pablo Francisco Posadas
N1 - Publisher Copyright:
© 2020 by the authors.
PY - 2020/5/2
Y1 - 2020/5/2
N2 - 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 3n way and the proposed topology does not impact in a linear way but log3, which balances energy consumption throughout the IIoT network.
AB - 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 3n way and the proposed topology does not impact in a linear way but log3, which balances energy consumption throughout the IIoT network.
KW - Energy-efficient systems
KW - Industrial Internet of things
KW - Peano fractal curve
KW - Software-defined network
KW - Swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=85085100817&partnerID=8YFLogxK
U2 - 10.3390/s20102855
DO - 10.3390/s20102855
M3 - Artículo
C2 - 32443435
AN - SCOPUS:85085100817
SN - 1424-8220
VL - 20
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 10
M1 - 2855
ER -