Improved Indoor Geo-Localization System: Bluetooth Low Energy Technology of iBeacons and Wi-Fi Network for Better IOT Systems Accuracy

Improved Indoor Geo-Localization System: Bluetooth Low Energy Technology of iBeacons and Wi-Fi Network for Better IOT Systems Accuracy

Abdaoui Noura, Ismahène Hadj Khalifa, Sami Faiz
Copyright: © 2019 |Pages: 24
DOI: 10.4018/978-1-5225-7347-0.ch010
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Abstract

In the concept of internet of things (IOT), physical position of smart object is very useful for relevant function over sensor networks. However, the invalid information of indoor geo-localization systems relative to these wireless sensor compromises the intelligence of IOT network. Therefore, this chapter produces the recent progress in the indoor geo-localization systems and the IOTs area. It defines the best indoor geo-localization technologies that meet their needs while respecting the constraints related to sensor networks. This framework combines between simplicity of Bluetooth low energy (BLE), popular wi-fi infrastructure, and the k-nearest neighbor (KNN) algorithm (in order to filter the initial fingerprint dataset). This new conception increases real-time detection accuracy and guarantees the low energy consumption.
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Background

Advertising has a strong connection with the development of trade. In the first subsection, researchers focus on the evolution of advertising in different forms of marketing: Direct marketing, e-marketing, mobile marketing and the ubiquitous marketing. This evolution is treated after knowing the needs of customer. These needs describe the profile of each customer. In literature, there are several techniques used to analyze the customer’s behavior. In the second subsection, researchers try to supply a review of the main technologies discussed in the literature to solve the indoor geo-localization issue. This could hand over a better dealing of the state-of-the-art of the IOT and push new research efforts in this hopeful field. Then, concentrating on one of the major challenges in the indoor geo-localization field, they explain the final choice that have been revised and compared by choosing the best solution.

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