Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/148576
Title: A Dataset to Evaluate IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications in Industrial Scenarios
Author: Tuset-Peiro, Pere  
Delgado Gomes, Ruan  
Thubert, Pascal  
Cuerva, Eva  
Egusquiza, Eduard  
Vilajosana, Xavier  
Citation: 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
Abstract: 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).
Keywords: smart utility networks
low-power
wireless
communications
dependable
predictable
reliable
available
industrial
DOI: https://doi.org/10.3390/data5030064
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/publishedVersion
Issue Date: 23-Jul-2020
Publication license: https://creativecommons.org/licenses/by/4.0/  
Appears in Collections:Articles cientÍfics
Articles

Files in This Item:
File Description SizeFormat 
data-05-00064.pdf17,79 MBAdobe PDFThumbnail
View/Open
Share:
Export:
View statistics

Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.