Resource-Aware Dynamic Clustering Utilizing State Estimation in Visual Sensor Networks
| Autor: | Melanie SCHRANZ, Bernhard RINNER |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | Sensors & Transducers, Vol 191, Iss 8, Pp 28-39 (2015) |
| Druh dokumentu: | article |
| ISSN: | 2306-8515 1726-5479 |
| Popis: | Generally, resource-awareness plays a key role in wireless sensor networks due the limited capabilities in processing, storage and communication. In this paper we present a resource- aware cooperative state estimation facilitated by a dynamic cluster-based protocol in a visual sensor network (VSN). The VSN consists of smart cameras, which process and analyze the captured data locally. We apply a state estimation algorithm to improve the tracking results of the cameras. To design a lightweight protocol, the final aggregation of the observations and state estimation are only performed by the cluster head. Our protocol is based on a market-based approach in which the cluster head is elected based on the available resources and a visibility parameter of the object gained by the cluster members. We show in simulations that our approach reduces the costs for state estimation and communication as compared to a fully distributed approach. As resource-awareness is the focus of the clusterbased protocol we can accept a slight degradation of the accuracy on the object’s state estimation by a standard deviation of about 1.48 length units to the available ground truth. |
| Databáze: | Directory of Open Access Journals |
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