A Topology Network Optimisation of Underground Mine Escape Paths based on Real-Time Personnel Localisation Data

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Security and Networks
Published
2025-01-01
DOI
https://doi.org/10.1504/ijsn.2025.10073839
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

A Topology Network Optimisation of Underground Mine Escape Paths based on Real-Time Personnel Localisation Data

M.-Y. Wu
International Journal of Security and Networks
Advanced Computing and Algorithms
article

A Topology Network Optimisation of Underground Mine Escape Paths based on Real-Time Personnel Localisation Data

M.-Y. Wu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Security and NetworksVol. 1(1)
Openalex Percentile: Top 65%
Advanced Computing and Algorithms
DOISourceOpenAlex
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A Topology Network Optimisation of Underground Mine Escape Paths based on Real-Time Personnel Localisation Data — M.-Y. Wu · International Journal of Security and Networks (2025) | TGRS Research Map | TGRS