Distributed energy-efficient target tracking algorithm based on event-triggered strategy for sensor networks

The distributed estimation problem for wireless sensor networks with limited communication/sensing ranges and observability is studied. A novel sensor measuring activation scheme based on a fully distributed event-triggered strategy is proposed to make each node achieve a better trade-off between es...

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Vydáno v:	IET control theory & applications Ročník 13; číslo 10; s. 1564 - 1570
Hlavní autoři:	Zhang, Ya, Zhang, Lingling, Du, Lishuang, Liu, Cheng-Lin, Chen, Yang-Yang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 02.07.2019
Témata:	activation scheme available distance‐based Brief Paper collaboratively observable sensor communication/sensing distributed energy‐efficient target distributed estimation problem distributed Kalman filtering algorithm energy saving estimation errors event‐triggered measuring strategy fully distributed event‐triggered strategy Kalman filters minimum trace fusion principle observability predicted position predicted synthetic performance index ranges target tracking time‐triggered strategy trade‐off between estimation error wireless sensor networks predicted synthetic performance index wireless sensor networks ranges trade-off between estimation error minimum trace fusion principle available distance-based energy saving time-triggered strategy estimation errors communication/sensing fully distributed event-triggered strategy collaboratively observable sensor predicted position target tracking distributed energy-efficient target distributed estimation problem activation scheme Kalman filters event-triggered measuring strategy observability distributed Kalman filtering algorithm
ISSN:	1751-8644, 1751-8652
On-line přístup:	Získat plný text
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