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

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).

Avaliação de Mecanismos de Seleção Dinâmica de Modulação em Redes IEEE 802.15.4g com Diferentes Estratégias de Estimação de Qualidade de Enlace

“…Esse conceito não é novo, mas era limitado em redes sem fio de baixa potência devido à indisponibilidade de transceptores comerciais que suportassem múltiplas modulações. Com o surgimento do padrão IEEE 802.15.4g e a disponibilidade de transceptores, o uso desse mecanismo em redes sem fio de baixa potência pôde ser explorado [12].…”

“…Em [12] foi realizado um experimento no período de 99 dias, onde 11 nós OpenMote-B foram distribuídos num ambiente industrial real. Foi implementada uma rede de sensores que utiliza uma topologia estrela e os nós foram distribuídos em distâncias que variam de 34 m a 274 m em relação ao gateway.…”

“…A partir da estratégia 3Mnew, foi possível fazer uma avaliação da precisão dos estimadores, com base no dataset descrito em [12]. Para avaliar os estimadores foi calculado o erro médio quadrático, onde o valor mais próximo do zero, indica uma melhor precisão do estimador.…”

Improving Link Reliability of IEEE 802.15.4g SUN with Re-Transmission Shaping

“…To evaluate the proposed re-transmission shaping mechanism we use simulations based on a IEEE 802.15.4g [1,2] SUN (Smart Utility Network) data-set [12], obtained through a real-world deployment of 11 devices in a large industrial scenario, using two widely used metrics: the PDR (Packet Delivery Ratio) and the RNP (Required Number of Packets). In addition to having a low implementation complexity, the results show that the re-transmission shaping mechanism can improve PDR significantly (i.e., from 77.4% to 99.2%) while keeping the RNP within bounds (i.e., 2.35 re-transmissions per packet) compared to single re-transmission per packet.…”

“…In addition to the physical measurements, the resulting data-set includes ∼11 M entries with the RSSI (Received Signal Strength Indicator), CCA (Clear Channel Assessment) and packet delivery values for all 3 modulations of the IEEE 802.15.4g SUN standard, as shown inTable 1. More details regarding the deployment operation and the data obtained can be found in[12]. Unique identifier (last 2 bytes of EUI-64), total received packets, and average RSSI (dBm), CCA (dBm) and PDR (%) values of the devices used in the deployment.…”