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Multi-constrained Network Occupancy Optimization
Ulm University, Ulm, Germany.
ALTEN AB, Västerås, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1996-1234
ABB AB, Västerås, Sweden.
2023 (English)In: Computer Science and Information Systems, ISSN 1820-0214, Vol. 29, no 1, p. 251-276Article in journal (Refereed) Published
Abstract [en]

The greater the number of devices on a network, the higher load in the network, the more chance of a collision occurring, and the longer it takes to transmit a message. The size of load can be identified by measuring the network occupancy, hence it is desirable to minimize the latter. In this paper, we present an approach for network occupancy minimization by optimizing the packing process while satisfy-ing multiple constraints. We formulate the minimization problem as a bin packing problem and we implement a modification of the Best-Fit Decreasing algorithm to find the optimal solution. The approach considers grouping signals that are sent to different destinations in the same package. The analysis is done on a medium-sized plant model, and different topologies are tested. The results show that the proposed solution lowers the network occupancy compared to a reference case. 

Place, publisher, year, edition, pages
ComSIS Consortium , 2023. Vol. 29, no 1, p. 251-276
Keywords [en]
industrial control networking, network performance, packing algorithms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-62096DOI: 10.2298/CSIS211001008HISI: 000935481500017Scopus ID: 2-s2.0-85149101919OAI: oai:DiVA.org:mdh-62096DiVA, id: diva2:1743415
Available from: 2023-03-15 Created: 2023-03-15 Last updated: 2023-03-22Bibliographically approved

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Seceleanu, Tiberiu

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