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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

Department of Technology, State University of Feira de Santana, Feira de Santana 44036-900, Brazil
Faculty of Engineering and Architecture, Kore University of Enna, Enna 94100, Italy
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]   |  


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

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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).

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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.

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