A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks
Wireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/14/7/213 |
| _version_ | 1797439408030351360 |
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| author | Thiago C. Jesus Daniel G. Costa Paulo Portugal Francisco Vasques |
| author_facet | Thiago C. Jesus Daniel G. Costa Paulo Portugal Francisco Vasques |
| author_sort | Thiago C. Jesus |
| collection | DOAJ |
| description | Wireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as Smart Cities, Industry 4.0, and Vehicular Networks, the actual visual data quality may be not easily determined since it may be associated with many factors that depend on the characteristics of the considered application scenario. This entails several aspects from the quality of captured images (sharpness, definition, resolution) to the characteristics of the networks such as employed hardware, power consumption, and networking efficiency. In order to better support quality analysis and performance comparisons among different wireless visual sensor networks, which could be valuable in many monitoring scenarios, this article surveys this area with special concern on assessment mechanisms and quality metrics. In this context, a novel classification approach is proposed to better categorize the diverse applicable metrics for quality assessment of visual monitoring procedures. Hence, this article yields a practical guide for analyzing different visual sensor network implementations, allowing fairer evaluations and comparisons among a variety of research works. Critical analysis are also performed regarding the relevance and usage of the proposed categories and identified quality metrics. Finally, promising open issues and research directions are discussed in order to guide new developments in this research field. |
| first_indexed | 2024-03-09T11:52:28Z |
| format | Article |
| id | doaj.art-69780a9c7dcd484783089d2ef9ece8c1 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-09T11:52:28Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-69780a9c7dcd484783089d2ef9ece8c12023-11-30T23:13:03ZengMDPI AGFuture Internet1999-59032022-07-0114721310.3390/fi14070213A Survey on Monitoring Quality Assessment for Wireless Visual Sensor NetworksThiago C. Jesus0Daniel G. Costa1Paulo Portugal2Francisco Vasques3Department of Electrical and Computer Engineering (DEEC), Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalINEGI, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalINESC-TEC, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalINEGI, Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalWireless visual sensor networks have been adopted in different contexts to provide visual information in a more flexible and distributed way, supporting the development of different innovative applications. Although visual data may be central for a considerable set of applications in areas such as Smart Cities, Industry 4.0, and Vehicular Networks, the actual visual data quality may be not easily determined since it may be associated with many factors that depend on the characteristics of the considered application scenario. This entails several aspects from the quality of captured images (sharpness, definition, resolution) to the characteristics of the networks such as employed hardware, power consumption, and networking efficiency. In order to better support quality analysis and performance comparisons among different wireless visual sensor networks, which could be valuable in many monitoring scenarios, this article surveys this area with special concern on assessment mechanisms and quality metrics. In this context, a novel classification approach is proposed to better categorize the diverse applicable metrics for quality assessment of visual monitoring procedures. Hence, this article yields a practical guide for analyzing different visual sensor network implementations, allowing fairer evaluations and comparisons among a variety of research works. Critical analysis are also performed regarding the relevance and usage of the proposed categories and identified quality metrics. Finally, promising open issues and research directions are discussed in order to guide new developments in this research field.https://www.mdpi.com/1999-5903/14/7/213quality of monitoringdependabilityreliabilityavailabilitywireless visual sensor networksvisual sensing |
| spellingShingle | Thiago C. Jesus Daniel G. Costa Paulo Portugal Francisco Vasques A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks Future Internet quality of monitoring dependability reliability availability wireless visual sensor networks visual sensing |
| title | A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks |
| title_full | A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks |
| title_fullStr | A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks |
| title_full_unstemmed | A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks |
| title_short | A Survey on Monitoring Quality Assessment for Wireless Visual Sensor Networks |
| title_sort | survey on monitoring quality assessment for wireless visual sensor networks |
| topic | quality of monitoring dependability reliability availability wireless visual sensor networks visual sensing |
| url | https://www.mdpi.com/1999-5903/14/7/213 |
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