TY - GEN
T1 - An enhanced wireless LAN positioning algorithm based on the fingerprint approach
AU - Yeung, Wilson M.
AU - Ng, Joseph K.
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - As ubiquitous computing gained much attention in recent years, location estimation in wireless LAN becomes a hot topic. Previous research work suggests the use of the averaged Received Signal Strength (RSS) as fingerprint can achieve high accuracy for location estimation. In a library environment, however, the accuracy of such traditional approach is barely acceptable. It is because library contains considerably large number of metal bookshelves, and limited number of access points. Worse yet, the layout of these access points in the library is fixed for connection to the Internet, and therefore it is hard to change the environment to adapt for location estimation system. In this paper, we introduce an enhanced fingerprint (EFP) algorithm, and tested it in a library environment. The experiment result showed that the proposed EFP algorithm can have more than 30% of improvement in accuracy over traditional approaches without changing anything in the library environment.
AB - As ubiquitous computing gained much attention in recent years, location estimation in wireless LAN becomes a hot topic. Previous research work suggests the use of the averaged Received Signal Strength (RSS) as fingerprint can achieve high accuracy for location estimation. In a library environment, however, the accuracy of such traditional approach is barely acceptable. It is because library contains considerably large number of metal bookshelves, and limited number of access points. Worse yet, the layout of these access points in the library is fixed for connection to the Internet, and therefore it is hard to change the environment to adapt for location estimation system. In this paper, we introduce an enhanced fingerprint (EFP) algorithm, and tested it in a library environment. The experiment result showed that the proposed EFP algorithm can have more than 30% of improvement in accuracy over traditional approaches without changing anything in the library environment.
UR - http://www.scopus.com/inward/record.url?scp=34547607397&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2006.343696
DO - 10.1109/TENCON.2006.343696
M3 - Conference proceeding
AN - SCOPUS:34547607397
SN - 1424405491
SN - 9781424405497
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2006 IEEE Region 10 Conference, TENCON 2006
PB - IEEE
T2 - 2006 IEEE Region 10 Conference, TENCON 2006
Y2 - 14 November 2006 through 17 November 2006
ER -