TY - GEN
T1 - Geometric-based KNN localization using sensor dissimilarity information
AU - Tran, Duc A.
AU - Gong, Siyuan
AU - Vo, Quynh
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Location fingerprinting is a range-free approach to GPS-free localization. Conventionally, the fingerprint space is defined as a feature vector space where a fingerprint is a vector of location-sensitive measurements associated with a location. However, in practice, it is hard to find a quality feature space that is robust to device heterogeneity and environment and infrastructure dynamics. This paper advocates a fundamentally different model where a fingerprint is defined as a dissimilarity measurement associated with a pair of locations and proposes a localization approach based on geometric embedding.
AB - Location fingerprinting is a range-free approach to GPS-free localization. Conventionally, the fingerprint space is defined as a feature vector space where a fingerprint is a vector of location-sensitive measurements associated with a location. However, in practice, it is hard to find a quality feature space that is robust to device heterogeneity and environment and infrastructure dynamics. This paper advocates a fundamentally different model where a fingerprint is defined as a dissimilarity measurement associated with a pair of locations and proposes a localization approach based on geometric embedding.
UR - https://www.scopus.com/pages/publications/85045284798
UR - https://www.scopus.com/pages/publications/85045284798#tab=citedBy
U2 - 10.1109/PIMRC.2017.8292622
DO - 10.1109/PIMRC.2017.8292622
M3 - Conference contribution
AN - SCOPUS:85045284798
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 1
EP - 6
BT - 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Y2 - 8 October 2017 through 13 October 2017
ER -