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Título : | A Dataset to Evaluate IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications in Industrial Scenarios |
Autoría: | Tuset-Peiro, Pere Delgado Gomes, Ruan Thubert, Pascal Cuerva, Eva Egusquiza, Eduard Vilajosana, Xavier |
Citación : | Tuset-Peiró, P. [Pere]. Gomes, R. [Ruan D.]. Thubert, P. [Pascal]. Cuerva, E. [Eva]. Egusquiza, E. [Eduard]. Vilajosana, X. [Xavier]. (2020). A Dataset to Evaluate IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications in Industrial Scenarios" Data 5( 3): 64. https://doi.org/10.3390/data5030064 |
Resumen : | This article presents a dataset obtained from the deployment of an IEEE 802.15.4g SUN (Smart Utility Network) single-hop network (11 nodes) in a large industrial scenario (110,044 m2) for a long period of time (99 days). The dataset contains ∼11 M entries with RSSI (Received Signal Strength Indicator), CCA (Clear Channel Assessment), and PDR (Packet Delivery Ratio) values. The analyzed results show a high variability in the average RSSI (i.e., between −82.1 dBm and −101.7 dBm) and CCA (i.e., between −111.2 dBm and −119.9 dBm) values, which is caused by the effects of multi-path propagation and external interference. Despite being above the sensitivity limit for each modulation, these values result in poor average PDR values (i.e., from 65.9% to 87.4%), indicating that additional schemes are needed to meet the link reliability requirements of industrial applications. Hence, the presented dataset will allow researchers and practitioners to propose novel mechanisms and evaluate their performance using realistic conditions, enabling the dependability vision of the RAW (Reliable and Available Wireless) WG (Working Group) at the IETF (Internet Engineering Task Force). |
Palabras clave : | smart utility networks low-power wireless communications dependable predictable reliable available industrial dataset |
DOI: | https://doi.org/10.3390/data5030064 |
Tipo de documento: | info:eu-repo/semantics/article |
Versión del documento: | info:eu-repo/semantics/publishedVersion |
Fecha de publicación : | 23-jul-2020 |
Licencia de publicación: | https://creativecommons.org/licenses/by/4.0/ |
Aparece en las colecciones: | Articles cientÍfics Articles |
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Fichero | Descripción | Tamaño | Formato | |
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data-05-00064.pdf | 17,79 MB | Adobe PDF | Visualizar/Abrir |
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