Radio transmission characteristics in tunnel environments

Bedford, Michael D.; Kennedy, G.A.; Foster, Patrick

doi:10.1080/14749009.2016.1259196

Cited by 11 publications

(7 citation statements)

References 32 publications

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“…The side wall roughness may have caused for destructive phase polarization, hence a reduced communication range is unpreserved in all measurement scenarios. Such an observation of impact of the side wall roughness is also discussed and reported by the researchers in their work carried out in tunnel environment [53]- [55]. Also, for the near face measurements, additional noise added by the running belt conveyor (used for transportation of extracted coal) working in the other passage and opposite to the Tx placement (20 meters apart and left of the Tx) may also have affected the signal propagation compared to the straight mine gallery (empty) of underground coal mine.…”

Section: ) Received Signal Strength Indicator (Rssi)mentioning

confidence: 58%

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

et al. 2019

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Occupational health and safety hazards in the extreme work environment of underground mines remained a serious concern for both mine management and regulatory agency. Miners are often employed to perform different mining activities across the mine and are always exposed to health risks such as lung cancer. With the technology advancements, it is now possible to keep track of mine individuals and their health parameters. The current practice of health analysis is periodic in nature and is highly dependent on voluntary participation. Wearable health sensing system is an alternative solution to overcome these challenges and is able to provide insights on miners' health conditions. Timely analysis of physiological parameters of the miners is immensely helpful to minimize the injuries and can also provide preventive measures for potential health hazards. In this paper, we propose a wireless health monitoring system, especially for underground mines. The contributions of this paper are twofold. First, it presents and discusses our proposed system architecture and solution followed by challenges of such system in the context of underground mines. Second, as a preliminary analysis, detailed discussion on the wireless link behavior for reliable data transmission and communication are presented. We performed real-world experimental measurements in an operational underground coal mine considering several deployment settings in straight, near face and curved mine galleries. The communication metrics (e.g., received signal strength and packet reception rate) are extensively evaluated.INDEX TERMS Health sensing, activity monitoring, underground mines, occupational health hazards, communication, data analytics, wearables in mines, artificial intelligence, miners.

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Section: ) Received Signal Strength Indicator (Rssi)mentioning

confidence: 58%

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

et al. 2019

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“…Thus, this feature can be applied in applications that require distinguishing between two modes. For instance, in radio transmission in the tunnel environment 55 , the tunnel has been assumed as a waveguide. However, the radiated waves cannot be categorised as pure TE or TM mode due to non-perfect conductive walls of the tunnel.…”

Section: Discussion On Adjusting Sensitivitymentioning

confidence: 99%

Wide-angle metamaterial absorber with highly insensitive absorption for TE and TM modes

Amiri

Tofigh

Shariati

et al. 2020

Sci Rep

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Being incident and polarization angle insensitive are crucial characteristics of metamaterial perfect absorbers due to the variety of incident signals. In the case of incident angles insensitivity, facing transverse electric (TE) and transverse magnetic (TM) waves affect the absorption ratio significantly. In this scientific report, a crescent shape resonator has been introduced that provides over 99% absorption ratio for all polarization angles, as well as 70% and 93% efficiencies for different incident angles up to for TE and TM polarized waves, respectively. Moreover, the insensitivity for TE and TM modes can be adjusted due to the semi-symmetric structure. By adjusting the structure parameters, the absorption ratio for TE and TM waves at has been increased to 83% and 97%, respectively. This structure has been designed to operate at 5 GHz spectrum to absorb undesired signals generated due to the growing adoption of Wi-Fi networks. Finally, the proposed absorber has been fabricated in a array structure on FR-4 substrate. Strong correlation between measurement and simulation results validates the design procedure.

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“…Radio Propagation model through the tunnel. The radio propagation behaviour in the tunnel-like environment has been studied and reported in the literature [18][19][20][21]. Next there are several distributions for modelling the wave path loss; namely, Rayleigh, Nakagami, Rice, Weibull and log-normal shadowing are among the most commonly used models.…”

Section: Figure 1 Overview Of the Methodologymentioning

confidence: 99%

Investigation of wireless tracking performance in the tunnel-like environment with particle filter

Halder¹,

Chakravarty²

2018

MMEP

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When the basic nonlinear filtering problem for dynamic systems is considered, in such case, the particle filter is one of the suitable methods that has perhaps become one of the most commonly used methods in recent years. Positioning or localization falls under such a nonlinear filtering problem. Positioning is a matter of interest for both domestic and industrial application, due to its potential use in wide range of context-aware services that it can enable by leveraging the Internet of Things approach. However, in areas where GPS signals are not available such as underground tunnel roadways, where the localization is done mostly using radio beacons. This study mathematically simulates tracking operation in such a tunnel-like situation and studied the position estimation by the particle filter. From the results, we were able to visualize how varying different configuration parameters affect the estimation accuracies and also get an idea of worst-case estimates by seeing its standard deviation of estimated positions for different instances of repeated experiments. And our results also confirmed that deploying additional beacons have a contribution to the improvement in error tolerance. However, the improvements are significantly notable only around the point where beacon has been added. When the basic nonlinear filtering problem for dynamic systems is considered, in such case, the particle filter is one of the suitable methods that has perhaps become one of the most commonly used methods in recent years. Positioning or localization falls under such a nonlinear filtering problem. Positioning is a matter of interest for both domestic and industrial application, due to its potential use in wide range of context-aware services that it can enable by leveraging the Internet of Things approach. However, in areas where GPS signals are not available such as underground tunnel roadways, where the localization is done mostly using radio beacons. This study mathematically simulates tracking operation in such a tunnel-like situation and studied the position estimation by the particle filter. From the results, we were able to visualize how varying different configuration parameters affect the estimation accuracies and also get an idea of worst-case estimates by seeing its standard deviation of estimated positions for different instances of repeated experiments. And our results also confirmed that deploying additional beacons have a contribution to the improvement in error tolerance. However, the improvements are significantly notable only around the point where beacon has been added.

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Radio transmission characteristics in tunnel environments

Cited by 11 publications

References 32 publications

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

Opportunities and Challenges in Health Sensing for Extreme Industrial Environment: Perspectives From Underground Mines

Wide-angle metamaterial absorber with highly insensitive absorption for TE and TM modes

Investigation of wireless tracking performance in the tunnel-like environment with particle filter

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