Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study

Abstract

<p>The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among the related techniques and systems along with conclusions and future trends to identify some possible areas of enhancements. </p>

Smartphones-Based Crowdsourcing Approach for Installing Indoor Wi-Fi Access Points

“…Multiple positioning methods can be applied for people's mobility tracking and positioning. CoO [13], Trilateration [14], Triangulation [15] and Fingerprinting [16] are typical and wide-spread methods. Indoor positioning localization techniques use signal metrics (e.g.…”

“…Each direction is formed by the circular radius from a station to the mobile target. AOA methods should know the reference points and measured angles to derive the 2D of target location [15] [14]. One of these systems is Infrared Indoor Scout Local Positioning System (IRIS LPS) developed by [18].…”

An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms

“…Moreover, we can apply in diverse services, such as emergency management, track mobile users, context awareness, advertisement, environmental monitoring, military surveillance, and medical care applications [6]. According to [7,8], positioning serves to address problems such as traffic loads in 5G networks. Therefore, indoor and outdoor positioning requires enormous attention to be effectively implemented in industry and academia, since precise positioning is used as an enabling factor for the future IoT [4,9].…”

“…GPS-based positioning has limitations to outdoor navigation and experience severe signal loss in urban areas [15]. Outdoor positioning using fixed sensors or GPS-based sensors is very expensive [8]. Hence, both indoor positioning and outdoor positioning require special attention to be accurate and have cheaper application.…”

“…In this approach, the algorithms can obtain the precise position of Wi-Fi users. The scene analysis is characterized by low cost, high precision, and low-energy consumption, so that this method gets much attention [7,8,12,16].…”