Tuset-Peiró, P.; Gomes, R.D.; Thubert, P.; Vilajosana, X. Evaluating IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications In Industrial Scenarios. Preprints2020, 2020020174. https://doi.org/10.20944/preprints202002.0174.v1
APA Style
Tuset-Peiró, P., Gomes, R.D., Thubert, P., & Vilajosana, X. (2020). Evaluating IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications In Industrial Scenarios. Preprints. https://doi.org/10.20944/preprints202002.0174.v1
Chicago/Turabian Style
Tuset-Peiró, P., Pascal Thubert and Xavier Vilajosana. 2020 "Evaluating IEEE 802.15.4g SUN for Dependable Low-Power Wireless Communications In Industrial Scenarios" Preprints. https://doi.org/10.20944/preprints202002.0174.v1
Abstract
In this article we present a deployment of 11 nodes using the three different SUN (Smart Utility Network) modulation schemes, as defined in the IEEE 802.15.4-2015 standard. The nodes were deployed in a 110.044 m2 warehouse for 99 days, and the resulting dataset contains a total of 10.710.868 measurements with RSSI (Received Signal Strength Indicator), CCA (Clear Channel Assessment) and PDR (Packet Delivery Ratio) values. The analyzed results show a high variability in 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 are caused by the effects of multi-path propagation and external interference. Despite being above the sensitivity limit for each modulation, this values result in poor average PDR values (i.e., from 65.9% to 87.4%), indicating that additional schemes are required for low-power wireless communications to meet the dependability requirements of industrial applications. For that purpose, we also introduce the concept of modulation diversity, which can be combined with packet repetition to meet such requirements (i.e., PDR>99%) while minimizing the energy expenditure of nodes and meeting regulatory constraints.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
