Next Article in Journal
Mixed-Potential Gas Sensors Using an Electrolyte Consisting of Zinc Phosphate Glass and Benzimidazole
Previous Article in Journal
Assessment of Pansharpening Methods Applied to WorldView-2 Imagery Fusion
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(1), 93; doi:10.3390/s17010093

A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications

1
Department of Technology, State University of Feira de Santana, Feira de Santana 44036-900, Brazil
2
Faculty of Engineering and Architecture, Kore University of Enna, Enna 94100, Italy
3
Department of Electrical and Electronic Engineering, University of the Bío-Bío, Bío Bío Region 4051381, Chile
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 4 October 2016 / Revised: 15 November 2016 / Accepted: 25 November 2016 / Published: 5 January 2017
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1249 KB, uploaded 5 January 2017]   |  

Abstract

The advance of technologies in several areas has allowed the development of smart city applications, which can improve the way of life in modern cities. When employing visual sensors in that scenario, still images and video streams may be retrieved from monitored areas, potentially providing valuable data for many applications. Actually, visual sensor networks may need to be highly dynamic, reflecting the changing of parameters in smart cities. In this context, characteristics of visual sensors and conditions of the monitored environment, as well as the status of other concurrent monitoring systems, may affect how visual sensors collect, encode and transmit information. This paper proposes a fuzzy-based approach to dynamically configure the way visual sensors will operate concerning sensing, coding and transmission patterns, exploiting different types of reference parameters. This innovative approach can be considered as the basis for multi-systems smart city applications based on visual monitoring, potentially bringing significant results for this research field. View Full-Text
Keywords: smart cities; visual monitoring; fuzzy-based configuration; visual sensor networks smart cities; visual monitoring; fuzzy-based configuration; visual sensor networks
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Costa, D.G.; Collotta, M.; Pau, G.; Duran-Faundez, C. A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications. Sensors 2017, 17, 93.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top