Real-Time Smart Parking: Challenges and Solution using Machine learning and IoT

2021 ◽  
pp. 451-458
Author(s):  
Biren Bishnu Prasad Sahoo ◽  
Shahjad ◽  
Prakash Singh Tanwar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Real Time ◽  
Modern Society ◽  
The Internet ◽  
Challenging Issue ◽  
Smart Parking ◽  
The Internet Of Things ◽  
Modern Technologies

Modernization is something that everyone wants. With the increase in modernization, people are expecting to live a sustainable and hassle-free life. In this modern society, Parking is a major issue. Due to the growing number of vehicles in these cities, parking becomes a challenging task. We have tried to boost this particular system with the help of modern technologies i.e., the Internet of Things and Machine Learning. So that we can enhance the solution for this challenging issue efficiently.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

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