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

机译:智能城市应用中基于模糊的视觉传感器传感编码和传输配置方法

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摘要

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.
机译:在多个领域中技术的进步使智能城市应用程序得以发展,这可以改善现代城市的生活方式。在那种情况下使用视觉传感器时,可以从监视区域中检索静止图像和视频流,从而可能为许多应用程序提供有价值的数据。实际上,视觉传感器网络可能需要高度动态,以反映智能城市中参数的变化。在这种情况下,视觉传感器的特性和被监视环境的状况以及其他并发监视系统的状态可能会影响视觉传感器如何收集,编码和传输信息。本文提出了一种基于模糊的方法,可以动态配置视觉传感器在传感,编码和传输模式方面的运行方式,并利用不同类型的参考参数。可以将这种创新方法视为基于视觉监控的多系统智慧城市应用程序的基础,从而可能为该研究领域带来重大成果。

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