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Cross-Layer Optimization for Industrial Control Applications Using Wireless Sensor and Actuator Mesh Networks
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2017 (English)In: IEEE transactions on industrial electronics (1982. Print), ISSN 0278-0046, E-ISSN 1557-9948, Vol. 64, no 4, p. 3250-3259Article in journal (Refereed) Published
Abstract [en]

When multiple control processes share a common wireless network, the communication protocol must provide reliable performance in order to yield stability of the overall system. In this paper, the novel cross-layer optimized control (CLOC) protocol is proposed for minimizing the worst case performance loss of multiple industrial control systems. CLOC is designed for a general wireless sensor and actuator network where both sensor to controller and controller to actuator connections are over a multihop mesh network. The design approach relies on a constrained max-min optimization problem, where the objective is to maximize the minimum resource redundancy of the network and the constraints are the stability of the closed-loop control systems and the schedulability of the communication resources. The optimal operation point of the protocol is automatically set in terms of the sampling rate, scheduling, and routing, and is achieved by solving a linear programming problem, which adapts to system requirements and link conditions. The protocol has been experimentally implemented and evaluated on a testbed with off-the-shelf wireless sensor nodes, and it has been compared with a traditional network design and a fixed-schedule approach. Experimental results show that CLOC indeed ensures control application stability and fulfills communication constraints while maximizing the worst case redundancy gain of the system performance.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2017. Vol. 64, no 4, p. 3250-3259
Keywords [en]
Cross-layer optimization, routing, scheduling, wireless sensor and actuator network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-205755DOI: 10.1109/TIE.2016.2631530ISI: 000397770200072Scopus ID: 2-s2.0-85015310183OAI: oai:DiVA.org:kth-205755DiVA, id: diva2:1090538
Note

QC 20170424

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-04-24Bibliographically approved

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Di Marco, PiergiuseppeJohansson, Karl H.
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