Indoor Positioning System

In recent years, the demand for positioning systems has increased significantly, leading to numerous studies and projects in this field. The advent of new technologies such as Wireless and Bluetooth, along with advancements in operating systems like iOS and Android, has facilitated the development of positioning systems for both outdoor and indoor environments. While the Global Navigation System (GPS) is effective outdoors, its reliance on a line of sight between the transmitter and receiver makes it unsuitable for indoor environments such as buildings and malls. Consequently, alternative technologies are required to achieve effective indoor positioning. Various systems have emerged, utilizing existing infrastructure like Wi-Fi, which is prevalent in devices such as mobile phones and tablets. Wi-Fi-based indoor positioning systems, which rely on received signal strength (RSS), have gained popularity due to their ease of implementation. This paper provides an overview of existing indoor positioning technologies and techniques, with a focus on Wi-Fi-based systems. It aims to identify the most effective simulation system for Wi-Fi-based indoor positioning, examining the role of clustering algorithms in improving accuracy and execution time, and analyzing the impact of the number of access points on the positioning process.