TY - GEN
T1 - Determining Physical Location of Wireless Access Point using Smart Devices
AU - Suttichaya, Vasin
AU - Liang, Ting Wei
AU - Meemongkolkiat, Nannapat
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
KW - Indoor Position System
KW - Received Signal Strength Indication
KW - Trilateration
UR - https://www.scopus.com/pages/publications/85065062187
U2 - 10.1109/iSAI-NLP.2018.8692842
DO - 10.1109/iSAI-NLP.2018.8692842
M3 - Conference contribution
AN - SCOPUS:85065062187
T3 - 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings
BT - 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018
Y2 - 15 November 2018 through 17 November 2018
ER -