Adaptive Latency Reduction in LoRa for Mission Critical Communications in Mines

Nessa, Ahasanun; Hussain, Fatima; Fernando, Xavier

doi:10.1109/cns48642.2020.9162318

Cited by 3 publications

(18 citation statements)

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“…Some proposals have been made to improve LoRaWAN communication reliability in general [15,16], in industrial applications [2,17] and in mining [4,5,9]. The nature of the mining environment and the unique nature of the traffic generated therein raise the need for more investigation into the reliability of LoRaWAN technology in this environment.…”

Section: Background 21 Reliability Of Lorawan Communication In Mining...mentioning

confidence: 99%

“…IoT-based monitoring systems employing advanced sensing, communication systems and information systems are needed in mining to specifically deal with health and safety, environmental issues, earth crust monitoring, transportation management, gas detection, fire prevention and detection, conveyor belt monitoring, water hazards and quality and miner tracking [3]. There is particularly a need for reliable wireless underground communication techniques for the IoT to address incidents and escalate rescue operations [3,4]. However, wireless communication is very difficult in underground mines because of irregular, confined shapes and rough environments.…”

Section: Iot Communication In Mining Environmentsmentioning

confidence: 99%

“…Accurate monitoring and locating of miners and explosives is crucial to ensure quick response to fatal accidents. This calls for a robust and reliable communication network, which is essential to monitor the mine environment in a timely manner [4]. This environment is also very challenging in terms of achieving reliable wireless transmission (TX) due to a number of factors that work against electromagnetic wave propagation, such as the presence of heavy machinery and extreme humidity, temperature and vibration.…”

Section: Introductionmentioning

confidence: 99%

“…The former are regular, non-emergency traffic generated from constant monitoring and measurements, tracking miners and equipment, while the latter are emergency traffic that occur occasionally as a result of sudden and drastic changes in mine conditions or a safety alarm sent by one of the miners. Regular, non-emergency traffic is not delay-sensitive or reliability-constrained, while emergency traffic requires high reliability, low latency and high throughput [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Long-range (LoRa) technology is promising for mining environments due to characteristics such as long range, ultra-low power consumption, deep penetration capabilities and adaptive rate and chirp spread spectrum modulation [4]. Additionally, it works best for underground scenarios due to the use of an unlicensed frequency band and the unique characteristics of the physical layer, such as −150 dBm receiver sensitivity [5].…”

Section: Introductionmentioning

confidence: 99%

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Reliability of LoRaWAN Communications in Mining Environments: A Survey on Challenges and Design Requirements

Musonda,

Ndiaye,

Libati

et al. 2024

JSAN

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While a robust and reliable communication network for monitoring the mining environment in a timely manner to take care of people, the planet Earth and profits is key, the mining environment is very challenging in terms of achieving reliable wireless transmission. This survey therefore investigates the reliability of LoRaWAN communication in the mining environment, identifying the challenges and design requirements. Bearing in mind that LoRaWAN is an IoT communication technology that has not yet been fully deployed in mining, the survey incorporates an investigation of LoRaWAN and other mining IoT communication technologies to determine their records of reliability, strengths and weaknesses and applications in mining. This aspect of the survey gives insight into the requirements of future mining IoT communication technologies and where LoRaWAN can be deployed in both underground and surface mining. Specific questions that the survey addresses are: (1) What is the record of reliability of LoRaWAN in mining environments? (2) What contributions have been made with regard to LoRa/LoRaWAN communication in general towards improving reliability? (3) What are the challenges and design requirements of LoRaWAN reliability in mining environments? (4) What research opportunities exist for achieving LoRaWAN communication in mining environments? In addition to recommending open research opportunities, the lessons learnt from the survey are also outlined.

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Section: Background 21 Reliability Of Lorawan Communication In Mining...mentioning

confidence: 99%

Section: Iot Communication In Mining Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reliability of LoRaWAN Communications in Mining Environments: A Survey on Challenges and Design Requirements

Musonda,

Ndiaye,

Libati

et al. 2024

JSAN

View full text Add to dashboard Cite

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Regression analysis‐based identification model of key impactful parameters on buried antennas

Mejjatti

Habbani

Bouanani

2021

Int J Communication

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Summary The antenna's bandwidth is strongly dependent on its physical properties and the environment where it is located. Nevertheless, for transmitting devices embedded permanently in the soil, the propagation medium's properties are unstable due to dielectric permittivity's spatial and temporal changes. Relying on soil parameters values, we present three new multivariable regression models allowing a good fit to the dataset curves with antenna's resonant frequency variations prediction of about 98%. Precisely, such models have been obtained with the help of the multiple linear regression analysis method. Additionally, the results revealed that amongst four considered parameters (i.e., volumetric moisture, bulk density, specific density, and temperature), volumetric moisture is the most influencing factor on the antenna operating frequency band with a correlation coefficient of −0.989, whereas it equals 0.04, −0.035, and −0.002 for the temperature, bulk density, and specific density, respectively.

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