Smart Parking Utilizing IoT Embedding Fog Computing Based on Smart Parking Architecture

Amir Man Singh Maharjan, A. Elchouemi
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引用次数: 4

Abstract

Rapid population growth and skyrocketing demand of private transportation bloom the market of automakers worldwide. The concept of automated parking system under smart city arises with the availability of the technology like fast internet connections, offloading computational resources, IoT devices communicating various devices each other, to uplift the quality of life. Revolution of cloud computing and ease of this technology also open the door for better opportunities for smart parking where a system can be served from the remote area, but there is an issue with cloud computing for cost of operation and latency of the services. In urban cities there is rapid growth of population and there is advancement of automotive industries, there are lots of vehicles that are being used in all the cities which creates a lot of issues like road congestions, issue in parking spaces. This paper proposes the fog computing architecture to reduce the latency and efficiently utilise all the available technologies together by building fog computing architecture network which is a multi-tier structure where applications runs jointly, communicates and compute with each other. Smart parking has gain massive attention due to ease and outcome from those technologies are exponential. The role of Internet of Things and fog computing enable the platform to minimize the take duration for finding the parking space, this reduces the time and excess use of fuel and emission of CO2, these are the consequence of over and unmanaged vehicles in the urban areas and unmanaged parking areas.
基于物联网嵌入雾计算的智能停车架构
人口的快速增长和私人交通需求的飞速增长使全球汽车制造商市场蓬勃发展。随着快速互联网连接、卸载计算资源、物联网设备之间相互通信等技术的可用性,提高生活质量,智慧城市下的自动停车系统概念应运而生。云计算的革命和这种技术的便利性也为智能停车打开了更好的机会,在智能停车中,系统可以从远程区域提供服务,但云计算存在运营成本和服务延迟的问题。在城市里,人口快速增长,汽车工业也在进步,所有的城市都在使用大量的车辆,这造成了很多问题,比如道路拥堵,停车位问题。本文提出了雾计算体系结构,通过构建应用程序共同运行、相互通信和相互计算的多层结构雾计算体系结构网络来减少延迟并有效地利用所有可用技术。智能停车因其便利性和成果呈指数级增长而受到广泛关注。物联网和雾计算的作用使该平台能够最大限度地减少寻找停车位所需的时间,这减少了时间和燃料的过度使用以及二氧化碳的排放,这些都是城市地区和无管理停车场车辆过多和无管理的后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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