P2P Network Based Smart Parking System Using Edge Computing
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P2P Network Based Smart Parking System Using Edge Computing Nan Zhang1
· Xu Lu1 · Cong Tian1 · Zhenhua Duan1 · Zhifeng Sun1 · Ting Zhang1
Accepted: 23 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Smart parking techniques are widely used in smart city and intelligent transportation systems. However, how to build a friendly and effective smart parking system in a large city is still a challenge. This paper proposes a P2P network based smart parking system using Edge Computing. It utilizes Cloud Computing, Edge Computing, and P2P network techniques to provide plenty of services including parking space inquiry, navigation, vehicle license plate recognition, payment, and accident query. The architecture of the system and the related protocols and algorithms are presented in detail. Compared with the existing smart parking systems, the proposed system is more friendly and effective. Keywords Smart parking · Intelligent transportation system · P2P network · Edge computing · Cloud computing
1 Introduction The concept of smart city originates from the concept of smart planet proposed by IBM in 2008 [25]. It is the product of the combination of digital city and Internet of Things (IoT). It is also regarded as a direction of urban development and the trend of civilization development in the Information Age. Smart city applications and services are increasingly favored by researchers and businesses since it plays an important role in addressing global challenges such
This research is supported by National Natural Science Foundation of China under grant Nos. 61751207, 61732013 and 61806158, Shaanxi Key Science and Technology Innovation Team Project under Grant No. 2019TD-001, and National Key Research and Development Program of China under Grant No. 2018AAA0103202. Xu Lu
[email protected] Cong Tian
[email protected] Zhenhua Duan
[email protected] Nan Zhang [email protected] 1
Institute of Computing Theory and Technology, and ISN Lab, Xidian University, Xi’an, 710071, China
as pollution, climate change, population aging, traffic jams and energy shortages. An intelligent transportation system is a key system of a smart city. In the 1960s, the electronic route guidance system was America’s first attempt at Intelligent Transportation System (ITS). In the 1980s, Intelligent Vehicle-Highway Systems (IVHS) emerged in the United States. And in 1991, in order to promote the research and development of intelligent transportation systems of government and private sectors, the Intelligent Transportation Society of America (ITS America), a non-profit organization, was established. After that, the concept of ITS was first proposed by ITS America in the United States [13]. In 1995, seven areas of ITS are officially identified, including travel and traffic management, travel demand management, public transportation operation management, commercial vehicle operation, advanced vehicle control and safety systems, emergency management, and electronic charging. In
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