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Distributed Fog Computing Based on Batched Sparse Codes for Industrial Control
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
ABB Corp Res, Wireless Commun, S-72178 Vasteras, Sweden..
2018 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 14, no 10, p. 4683-4691Article in journal (Refereed) Published
Abstract [en]

In an industrial automation system, one of the most important parts is control loop. Fog computing is a potential solution for industrial control in time-critical applications as it provides distributed computing services closer to the connected devices. However, a huge amount of data exchanging among fog nodes causes high communication load, which constrains the overall response time from fog nodes to actuators. In this paper, we consider the erasure environment, batched sparse (BATS) codes are applied to the Map and the Data Shuffling stages of distributed fog computing process to reduce both the communication and the computation loads. The communication loads of the uncoded, the coded, and the proposed BATS-based schemes over erasure channels are calculated, respectively. Numerical results show that the BATS-based scheme can reduce the communication and the computation loads simultaneously, and furthermore reduce the overall response time from fog nodes to the actuators.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 14, no 10, p. 4683-4691
Keywords [en]
Batched sparse (BATS) codes, communication and computation loads, fog computing, industrial control, overall response time
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-237112DOI: 10.1109/TII.2018.2857203ISI: 000446673500039Scopus ID: 2-s2.0-85050228818OAI: oai:DiVA.org:kth-237112DiVA, id: diva2:1258396
Note

QC 20181024

Available from: 2018-10-24 Created: 2018-10-24 Last updated: 2018-10-24Bibliographically approved

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Yue, JingXiao, Ming

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