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Open Source System for Monitoring Wireless Outdoor Networks in Mining.

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Bibliographic Details
Title: Open Source System for Monitoring Wireless Outdoor Networks in Mining.
Authors: Zamperlini, Paulo Roberto Tercio, Diniz, Iuri da Silva, Pinto, Érica Silva, Matos, Saulo Neves, Garcia, Luis Guilherme Uzeda, Rêgo Segundo, Alan Kardek
Source: Hardware; Dec2025, Vol. 3 Issue 4, p16, 19p
Subject Terms: WIRELESS communications, COMPUTER network monitoring, NETWORK performance, OPEN source software, MINES & mineral resources, KRIGING, ACQUISITION of data
Geographic Terms: PARA (Brazil : State), BRAZIL
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. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:28136640
DOI:10.3390/hardware3040016