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On Stochastic Sensor Network Scheduling for Multiple Processes
KTH, School of Electrical Engineering (EES), Automatic Control. Zhejiang University, China.
2017 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 62, no 12, 6633-6640 p.Article in journal (Refereed) Published
Abstract [en]

We consider the problem of multiple sensor scheduling for remote state estimation of multiple process over a shared link. In this problem, a set of sensors monitor mutually independent dynamical systems in parallel but only one sensor can access the shared channel at each time to transmit the data packet to the estimator. We propose a stochastic event-based sensor scheduling in which each sensor makes transmission decisions based on both channel accessibility and distributed event-triggering conditions. The corresponding minimum mean squared error estimator is explicitly given. Considering information patterns accessed by sensor schedulers, time-based ones can be treated as a special case of the proposed one. By ultilizing real-time information, the proposed schedule outperforms the time-based ones in terms of the estimation quality. Resorting to solving a Markov decision process (MDP) problem with an average cost criterion, we can find optimal parameters for the proposed schedule. As for practical use, a greedy algorithm is devised for parameter design, which has rather low computational complexity. We also provide a method to quantify the performance gap between the schedule optimized via MDP and any other schedules.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 62, no 12, 6633-6640 p.
Keyword [en]
Kalman filters, scheduling, wireless sensor networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-220474DOI: 10.1109/TAC.2017.2717193ISI: 000417090000058OAI: oai:DiVA.org:kth-220474DiVA: diva2:1170634
Note

QC 20180104

Available from: 2018-01-04 Created: 2018-01-04 Last updated: 2018-01-04Bibliographically approved

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Wu, Junfeng

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