Work

Design and Study of LoRa-Based IIoT Network for Underground Coal Mine Environment

Year: 2024

Type: article

Abstract: The paper presents a novel LoRa-based IIoT system for monitoring the underground coal mine environment. Additionally, a new adaptive data rate algorithm for mesh network topology is proposed to optimize the data rate and maximize the coverage distance. Maximum coverage distance is achieved with a minimum number of repeaters. However, unlike previous works, the current work takes into account the power constraints in the underground coal mine environment, and most low-power consumption system is presented with an intelligent design approach. The implementation of the proposed adaptive data rate algorithm achieves 1.46 Kbps data rate at spreading factor 9, bandwidth 125 KHz, and transmitted power 11 dBm and extended the battery life of the deployed end nodes. The deployed end nodes achieved a maximum of 180 m under diffused line-of-sight condition at the roadway region of the operational mine. The relevant parameters are measured from the operational mine. Finally, the hardware is fabricated and the proposed system is validated in an operational underground coal mine.

Source: IEEE Access

DOI: 10.1109/access.2024.3470120

Authors: Ankita Ray Chowdhury, Saikat Chandra Bakshi, Ankita Pramanik, Gopal Chandra Roy

Institutions: Indian Institute of Engineering Science and Technology, Shibpur, National Institute of Technology Calicut, National University of Singapore

Language: English

Topic: IoT Networks and Protocols

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,995