Data mining techniques for IoT enabled smart parking environment: Survey

Abstract

Recently smart cities have become popular due to the idea of Internet of Things (IoT). IoT is a new technique with the help of which user can connect to various smart devices and sensors to collect real stream data from the system environment. Smart parking environment is one of the current researches as in urban areas millions of vehicles for transportation is used by people in their day to day life for their convenience. Traffic congestion is common problem faced by the users; most of the time people spend their precise time on searching parking slots to park their vehicles. To avoid such types of problem IoT enabled smart parking system become the need of an hour. To collect real stream data with the help of sensors and to filter it using data mining techniques will help to propose the IoT enabled smart parking system. The purpose of this paper is to survey existing smart parking system to find the gaps in existing systems and to discuss various data mining techniques that will help in proposed architecture and can be used to process huge amount of IoT data.