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Open AccessArticle

Availability Issues in Wireless Visual Sensor Networks

1
DTEC-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil
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IMD-UFRN, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
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DCA-CT-UFRN, Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
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IDMEC-FEUP-UP, University of Porto, Porto 4200-465, Portugal
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INESC TEC-FEUP-UP, University of Porto, Porto 4200-465, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2014, 14(2), 2795-2821; https://doi.org/10.3390/s140202795
Received: 18 November 2013 / Revised: 10 December 2013 / Accepted: 28 January 2014 / Published: 12 February 2014
(This article belongs to the Section Sensor Networks)
Wireless visual sensor networks have been considered for a large set of monitoring applications related with surveillance, tracking and multipurpose visual monitoring. When sensors are deployed over a monitored field, permanent faults may happen during the network lifetime, reducing the monitoring quality or rendering parts or the entire network unavailable. In a different way from scalar sensor networks, camera-enabled sensors collect information following a directional sensing model, which changes the notions of vicinity and redundancy. Moreover, visual source nodes may have different relevancies for the applications, according to the monitoring requirements and cameras’ poses. In this paper we discuss the most relevant availability issues related to wireless visual sensor networks, addressing availability evaluation and enhancement. Such discussions are valuable when designing, deploying and managing wireless visual sensor networks, bringing significant contributions to these networks. View Full-Text
Keywords: wireless visual sensor networks; availability; directional coverage; coverage metrics wireless visual sensor networks; availability; directional coverage; coverage metrics
MDPI and ACS Style

Costa, D.G.; Silva, I.; Guedes, L.A.; Vasques, F.; Portugal, P. Availability Issues in Wireless Visual Sensor Networks. Sensors 2014, 14, 2795-2821.

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