Design of infinite‐dimensional distributed consensus filter for mobile sensor networks with packet losses

In this paper, design of infinite dimensional distributed consensus filter is addressed for a class of spatially distributed processes utilising mobile sensor networks with multiple packet losses. The missing information is drawn into a sensor network in such a way that it conforms to a conditional...

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) England), 2022-06, Vol.2022 (6), p.608-617
Main Authors: Xia, Fuyang, Qian, Xueming
Format: Article
Language:English
Subjects:
Agricultural production
Conditional probability
Design optimization
Engineering
Error analysis
Filtration
Kalman filters
Liapunov direct method
Partial differential equations
Remote sensors
Sensors
Wireless sensor networks
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Summary:In this paper, design of infinite dimensional distributed consensus filter is addressed for a class of spatially distributed processes utilising mobile sensor networks with multiple packet losses. The missing information is drawn into a sensor network in such a way that it conforms to a conditional probability distribution. A new framework for optimisation of mobile sensors is presented to enhance the performance of the filter. The goal of filtering issue is to construct a distributed consensus filter, for any possible measurements that are missing, such that the filtering error converge to bounded consensus in the mean square. Using the Lyapunov direct method and the spatial operator, certain sufficient criteria for the desired filter to satisfy the consensus performance criterion are developed. Lastly, a numerical simulation is performed to show that the suggested filter presented is effective.
ISSN:2051-3305
2051-3305
DOI:10.1049/tje2.12143