Determining Physical Location of Wireless Access Point using Smart Devices

Autor: Nannapat Meemongkolkiat, Vasin Suttichaya, Ting-Wei Liang
Rok vydání: 2018
Předmět:
Zdroj: 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
DOI: 10.1109/isai-nlp.2018.8692842
Popis: Indoor Position System (IPS) is a method for locating objects in an enclosed space. This paper applies the concept of IPS to locate the physical location of wireless access point. The proposed system can be used for locating the suspected access point in the building. The system uses at least three smartphones to form the points in two-dimensional geometry. These smartphones will gather Wi-Fi‘s information and send them to the server. Then, trilateration is applied to calculate the distance and the location of the targeted access point. The physical location will then send back to each smartphone. The smartphone can use this position to navigate the user to the targeted access point. The result shows that, in the enclosed space, the error of the proposed method is around 3.5 meters.
Databáze: OpenAIRE