A Dataset to Evaluate IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications in Industrial Scenarios

Pere Tuset-Peiró, Ruan D. Gomes, Pascal Thubert, Eva Cuerva, Eduard Egusquiza and Xavier Vilajosana
Additional contact information
Pere Tuset-Peiró: Wireless Networks (WiNe) Research Laboratory, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08860 Castelldefels, Spain
Ruan D. Gomes: Research Group on Communications Systems and Information Processing, Instituto Federal de Educação, Ciência e Tecnologia da Paraíba (IFPB), Campina Grande 58428-830, Brazil
Pascal Thubert: Cisco Systems France S.à.r.l., 92130 Issy-les-Moulineaux, France
Eva Cuerva: Group of Construction Research and Innovation (GRIC), Universitat Politècnica de Catalunya (UPC), 08028 Barcelona, Spain
Eduard Egusquiza: Center for Industrial Diagnostics and Fluid Dynamics (CDIF), Universitat Politècnica de Catalunya (UPC), 08028 Barcelona, Spain
Xavier Vilajosana: Wireless Networks (WiNe) Research Laboratory, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), 08860 Castelldefels, Spain

Data, 2020, vol. 5, issue 3, 1-19

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 m 2 ) 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: IEEE 802.15.4g; smart utility networks; low-power; wireless; communications; dependable; predictable; reliable; available; industrial; dataset (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/5/3/64/pdf (application/pdf)
https://www.mdpi.com/2306-5729/5/3/64/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:5:y:2020:i:3:p:64-:d:388487

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().