TY - GEN
T1 - An Improved Indoor Positioning Algorithm Based on RSSI-Trilateration Technique for Internet of Things (IOT)
AU - Rusli, Mohd Ezanee
AU - Ali, Mohammad
AU - Jamil, Norziana
AU - Din, Marina Md
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/29
Y1 - 2016/12/29
N2 - Indoor positioning system (IPS) allows an object to be located and tracked within an indoor environment. With the introduction of Internet of Things (IoT), the business interest in location-based application and services has also increased. Hence, the demand for accurate indoor localization services has become important. Until now, researches related to IPS are still being conducted with the objective to improve the performance of positioning techniques. Trilateration is one of the techniques available to determine the location of an object. This paper proposes an improved WiFi trilateration-based method for indoor positioning system. The improved model is based on the test results which was conducted by using Intel Galileo (Gen2) board as an access point. The signal blocking problem caused by obstacles existed inside the building is resolved by improving received signal strength measurement. The proposed model includes implementation of trilateration technique to determine the position of users and then using specific reference points to improve the positioning results.
AB - Indoor positioning system (IPS) allows an object to be located and tracked within an indoor environment. With the introduction of Internet of Things (IoT), the business interest in location-based application and services has also increased. Hence, the demand for accurate indoor localization services has become important. Until now, researches related to IPS are still being conducted with the objective to improve the performance of positioning techniques. Trilateration is one of the techniques available to determine the location of an object. This paper proposes an improved WiFi trilateration-based method for indoor positioning system. The improved model is based on the test results which was conducted by using Intel Galileo (Gen2) board as an access point. The signal blocking problem caused by obstacles existed inside the building is resolved by improving received signal strength measurement. The proposed model includes implementation of trilateration technique to determine the position of users and then using specific reference points to improve the positioning results.
KW - access point
KW - Improved positioning model
KW - Indoor Positioning System
KW - IOT board
KW - Trilateration method
KW - Wi-Fi technology
UR - http://www.scopus.com/inward/record.url?scp=85014993110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014993110&partnerID=8YFLogxK
U2 - 10.1109/ICCCE.2016.28
DO - 10.1109/ICCCE.2016.28
M3 - Conference contribution
AN - SCOPUS:85014993110
T3 - Proceedings - 6th International Conference on Computer and Communication Engineering: Innovative Technologies to Serve Humanity, ICCCE 2016
SP - 12
EP - 77
BT - Proceedings - 6th International Conference on Computer and Communication Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Computer and Communication Engineering, ICCCE 2016
Y2 - 25 July 2016 through 27 July 2016
ER -