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

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Costa, DG (Author) Other; Collotta, M (Author) Other; Pau, G (Author) Other; Duran Faundez, C (Author) Other

Journal

Title: Sensors

Vol. 17

Final page: 93

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 33 Citations

Scopus - 32 Citations

Other information

Authenticus ID: P-00W-KRF

DOI: 10.3390/s17010093

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19