Open Source System for Monitoring Wireless Outdoor Networks in Mining

The S11D mining complex in Brazil, situated in Pará state, extracts 20 million tons of iron each quarter. Connecting via a standard 802.11b/g/n wireless network is crucial for mine operations across vast distances. A local team employs a network monitoring tool called the Ekahau Site Survey to guarantee the proper functioning of the network. However, due to the harsh terrain and the dangerous nature of S11D operations, this tool fails to gather data from all points of interest, resulting in interpolated maps that may not accurately represent the network’s overall quality. In this work, we propose a platform that can be attached to mobile machines during operations to automatically collect network parameters, such as channelization, RSSI, latency, packet loss, and bandwidth, without requiring human intervention. Using these network data, we generate an RSSI map using Kriging, which the local team can use. Comparison tests conducted in the laboratory and the field demonstrate that the platform performs similarly to Ekahau in capturing network parameters, ensuring its use in day-to-day operations for mapping.

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Publication Details

Journal
Hardware
Published
2025-12-09
DOI
https://doi.org/10.3390/hardware3040016
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00

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Open Source System for Monitoring Wireless Outdoor Networks in Mining

Alan Kardek Rêgo Segundo, Saulo N. Matos, Paulo Roberto Tercio Zamperlini, Érica Silva Pinto et al.
Hardware
Energy Efficient Wireless Sensor Networks
article

Open Source System for Monitoring Wireless Outdoor Networks in Mining

Alan Kardek Rêgo Segundo, Saulo N. Matos, Paulo Roberto Tercio Zamperlini, Érica Silva Pinto, Luis G. Uzeda Garcia, Iuri da Silva Diniz
article en

Abstract

The S11D mining complex in Brazil, situated in Pará state, extracts 20 million tons of iron each quarter. Connecting via a standard 802.11b/g/n wireless network is crucial for mine operations across vast distances. A local team employs a network monitoring tool called the Ekahau Site Survey to guarantee the proper functioning of the network. However, due to the harsh terrain and the dangerous nature of S11D operations, this tool fails to gather data from all points of interest, resulting in interpolated maps that may not accurately represent the network’s overall quality. In this work, we propose a platform that can be attached to mobile machines during operations to automatically collect network parameters, such as channelization, RSSI, latency, packet loss, and bandwidth, without requiring human intervention. Using these network data, we generate an RSSI map using Kriging, which the local team can use. Comparison tests conducted in the laboratory and the field demonstrate that the platform performs similarly to Ekahau in capturing network parameters, ensuring its use in day-to-day operations for mapping.

HardwareVol. 3(4)
Universidade Federal de Ouro Preto (BR), Vale (Brazil) (BR), Université Paris-Saclay (FR), Brazilian Society of Computational and Applied Mathematics (BR), Vale Technological Institute (BR)
Instituto Tecnológico Vale, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Universidade Federal de Ouro Preto
Openalex Percentile: Top 56%
Energy Efficient Wireless Sensor Networks
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