TY - GEN
T1 - A Parameter Optimization Method for Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 Devices
AU - Huo, Yuanzhi
AU - Puspitaningayu, Pradini
AU - Funabiki, Nobuo
AU - Hamazaki, Kazushi
AU - Kuribayashi, Minoru
AU - Kojima, Kazuyuki
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/25
Y1 - 2021/6/25
N2 - To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 95% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal.
AB - To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 95% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal.
KW - fingerprint
KW - IEEE802.15.4
KW - indoor localization
KW - LQI
KW - parameter optimization
UR - http://www.scopus.com/inward/record.url?scp=85112151064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112151064&partnerID=8YFLogxK
U2 - 10.1109/ICCCI51764.2021.9486801
DO - 10.1109/ICCCI51764.2021.9486801
M3 - Conference contribution
AN - SCOPUS:85112151064
T3 - 2021 3rd International Conference on Computer Communication and the Internet, ICCCI 2021
SP - 136
EP - 140
BT - 2021 3rd International Conference on Computer Communication and the Internet, ICCCI 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computer Communication and the Internet, ICCCI 2021
Y2 - 25 June 2021 through 27 June 2021
ER -