Using Redundancy in a Sensor Network to Compensate Sensor Failures

Winkler, Nicolas P.; Neumann, Patrick P.; Schaffernicht, Erik; Lilienthal, Achim J.

doi:10.1109/sensors47087.2021.9639479

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…In the work of [10], they found that the GP2Y1010AU0F sensor has calibration issues, which can produce incorrect data while taking measurements, as well as evidence that the sensor does not make homogeneous measurements. Meanwhile, in [11], they mention that the manufacturer does not provide enough information about the sensor, which presents a problem when working with the sensor.…”

Section: Discussionmentioning

confidence: 99%

“…In [10], they developed a prototype to monitor the pollution levels in the environment using the optical dust sensor GP2Y1010AU0F as a basis for its development. In [11], the optical dust sensor GP2Y1010AU0F was used to analyze the correlation between the sensor drift and the accumulated production in a steel factory. Finally, in [12,13], they comprehensively analyzed and graphed the optical dust sensor GP2Y1010AU0F.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Low-Cost Particulate Matter Optical Sensor for Real-Time Monitoring

Sánchez-Barajas,

Cuevas-González,

Reyna

et al. 2023

Ecsa 2023

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Low-Cost Particulate Matter Optical Sensor for Real-Time Monitoring

Sánchez-Barajas,

Cuevas-González,

Reyna

et al. 2023

Ecsa 2023

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“…As low-cost sensors are prone for unreliable readings or outages, we advise to keep a sensor replacement strategy in mind. When multiple sensing nodes are deployed in a sensor network, the network might be used to absorb outages of individual sensors [4].…”

Section: Lessons Learnedmentioning

confidence: 99%

C5.1 - Revisiting Environmental Sensing Nodes: Lessons Learned and Way Forward

Winkler¹,

Johann²,

Kohlhoff³

et al. 2023

Lectures

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Setting up sensors for the purpose of environmental monitoring should be a matter of days, but often drags over weeks or even months, preventing scientists from doing real research. Additionally, the newly developed hardware and software solutions are often reinventing existing wheels. In this short paper, we revisit the design of our environmental sensing node that has been monitoring industrial areas over a span of two years. We share our findings and lessons learned. Based on this, we outline how a new generation of sensing node(s) can look like.

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