LoRa Multi-Hop Networks for Monitoring Underground Mining Environments
Luca Scalambrin, Andrea Zanella, Xavier Vilajosana

TL;DR
This paper presents a LoRa-based multi-hop network designed for underground mining environments, focusing on synchronization, energy efficiency, and network modeling to optimize performance under challenging subterranean conditions.
Contribution
It introduces a synchronization framework, models network throughput and duty cycle, and validates these models for underground mining IoT applications.
Findings
Achieves sub 40 microsecond synchronization accuracy
Provides models for network throughput and duty cycle estimation
Demonstrates energy-efficient operation suitable for underground environments
Abstract
Internet of Things applications have gained widespread recognition for their efficacy in typical scenarios, such as smart cities and smart healthcare. Nonetheless, there exist numerous unconventional situations where IoT technologies have not yet been massively applied, though they can be extremely useful. One of such domains is the underground mining sector, where enhancing automation monitoring through wireless communications is of essential significance. In this paper, we focus on the development, implementation, and evaluation of a LoRa-based multi-hop network tailored specifically for monitoring underground mining environments, where data traffic is sporadic, but energy efficiency is of paramount importance. We hence define a synchronization framework that makes it possible for the nodes to sleep for most of the time, waking up only when they need to exchange traffic. Notably, our…
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Taxonomy
TopicsIoT Networks and Protocols · Wireless Body Area Networks · Advanced MIMO Systems Optimization
