Hierarchical configuration system for wireless mesh networks in manufacturing industry

Milic, Bratislav; Brack, Samuel; Naumann, Roman

doi:10.1109/wmnc.2014.6878867

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…To determine realistic packet loss configurations, we performed packet reception tests in a real-world plastic-industry workshop environment. Our experiments indicate packet loss levels of 50% and more, which is in line with previous results [3]. We vary the logdistance exponent γ in our simulation to match different reception conditions.…”

Section: Discussionsupporting

confidence: 89%

“…Ethernet cables, however, are not usually available at the machines' locations [3], and laying new cables increases deployment cost and reduces flexibility. Wireless technology is a promising option to eliminate these problems.…”

Section: Introductionmentioning

confidence: 99%

“…However, wireless transmission is inherently unreliable. This is particularly true for workshops, in which metal is the prevalent material [3], [4].…”

Section: Introductionmentioning

confidence: 99%

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INFLATE: Incremental wireless transmission for sensor information in industrial environments

Naumann

Dietzel

Scheuermann

2015

2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)

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Abstract-As smart factory trends gain momentum, there is a growing need for robust information transmission protocols that make available sensor information gathered by individual machines and enable their algorithmic exploitation. Wireless transmission enables often-called-for flexibility, yet it poses challenges for reliable and timely transmission of information. This paper proposes a wireless transmission scheme for sensor information of production cycles in industrial environments. We include a preview functionality based on a discrete cosine transform that allows for rapid detection of problematic characteristics. The transmitted information's precision is improved using incremental updates as wireless capacity permits. Further, we include compact meta data that allows receivers to bound the received information's error. Evaluation results show that, even with high packet loss, characteristic features of sensor information are available early, and that error bounds closely follow the actual error.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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INFLATE: Incremental wireless transmission for sensor information in industrial environments

Naumann

Dietzel

Scheuermann

2015

2015 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS)

Self Cite

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“…To this end, wireless transmission is a promising candidate, as it does not require factory retrofitting, i. e., laying additional network cables in the facility. Wireless communication in a factory is challenging, however, as it suffers from interference due to metal obstruction, insufficiently shielded machines, and moving obstacles such as forklift trucks [2], [3]. A number of network protocols have recently been proposed to improve robustness of wireless transmissions for smart factory use cases [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Effective Lossless Compression of Sensor Information in Manufacturing Industry

Sparka

Naumann

Dietzel

et al. 2017

2017 IEEE 42nd Conference on Local Computer Networks (LCN)

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Abstract-In recent years, many visions for hitherto considered-futuristic computing applications gained momentum. The vision of smart factories is one example for these trends, which all share a common requirement: the prolific dissemination of sensor information. As wireless communication in smart factories needs to cope with harsh environments, the amount of sensor information produced by sources will likely surpass the communication channel's available capacity. This discrepancy calls for efficient communication and filtering protocols, as well as compression mechanisms, as a foundation for dependable applications. We propose such a compression algorithm that is lossless and tailored towards the requirements of the manufacturing industry. Our algorithm employs a two-step stochastic model that uses lossy compression to extract an approximation from the signal and a separate noise model to accommodate the remaining error. Evaluation results validate that our algorithm achieves better compression rates than existing approaches for several types of real world sensor data from the industry.

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Hierarchical configuration system for wireless mesh networks in manufacturing industry

Cited by 2 publications

References 5 publications

INFLATE: Incremental wireless transmission for sensor information in industrial environments

INFLATE: Incremental wireless transmission for sensor information in industrial environments

Effective Lossless Compression of Sensor Information in Manufacturing Industry

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