RT Journal Article
T1 A wot-based method for creating digital sentinel twins of iot devices
A1 López Arévalo, Iván
A1 Gonzalez-Compean, Jose Luis
A1 Hinojosa-Tijerina, Mariana
A1 Martinez Rendon, Cristhian
A1 Montella, Raffaele
A1 Martinez-Rodriguez, Jose L.
AB The data produced by sensors of IoT devices are becoming keystones for organizations to conduct critical decision-making processes. However, delivering information to these processes in real-time represents two challenges for the organizations: the first one is achieving a constant dataflow from IoT to the cloud and the second one is enabling decision-making processes to retrieve data from dataflows in real-time. This paper presents a cloud-based Web of Things method for creating digital twins of IoT devices (named sentinels).The novelty of the proposed approach is that sentinels create an abstract window for decision-making processes to: (a) find data (e.g., properties, events, and data from sensors of IoT devices) or (b) invoke functions (e.g., actions and tasks) from physical devices (PD), as well as from virtual devices (VD). In this approach, the applications and services of decision-making processes deal with sentinels instead of managing complex details associated with the PDs, VDs, and cloud computing infrastructures. A prototype based on the proposed method was implemented to conduct a case study based on a blockchain system for verifying contract violation in sensors used in product transportation logistics. The evaluation showed the effectiveness of sentinels enabling organizations to attain data from IoT sensors and the dataflows used by decision-making processes to convert these data into useful information.
PB MDPI
SN 1424-8220
YR 2021
FD 2021-08
LK https://hdl.handle.net/10016/34351
UL https://hdl.handle.net/10016/34351
LA eng
NO This research was partially funded by the project Num.41756 “Plataforma tecnológica para la gestión, aseguramiento, intercambio y preservación de grandes volúmenes de datos en salud y construcción de un repositorio nacional de servicios de análisis de datos de salud” by FORDECYT-PRONACES, Conacyt (México)
DS e-Archivo
RD 30 jun. 2024