Abstract

Localization is a key component of the Internet of things (IoT), where the location of everything (LOE) plays a critical role in the development of most IoT-related services. On the other side, data mining techniques and analyses are required when dealing with large amounts of data generated by IoT platforms. Indeed, combining location-based approaches with data mining analysis can result in a smart system service for IoT structure and applications. For this purpose, we created a smart shopping platform with four modules: component placement, component data collecting, component data analysis, and component data mining. Then, a precise localization technique known as “location orbital” is developed, which predicts the present position of mobile objects (users) based on both current and previous locations or regions.

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