Research on RSS based indoor location method

Di Wu; Yubin Xu; Lin Ma

doi:10.1109/KESE.2009.67

Research on RSS based indoor location method

Di Wu^*
, Yubin Xu
, Lin Ma

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Scopus citations

Abstract

with the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSSbased is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization and data exchange. Current applied RSS-based indoor location algorithms are proposed in this paper. And also, the limitations and modified algorithms of these algorithms have been discussed. Comparing various current algorithms, this paper supported the applied prospects of SVM in indoor positioning systems.

Original language	English
Title of host publication	KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering
Pages	205-208
Number of pages	4
DOIs	https://doi.org/10.1109/KESE.2009.67
State	Published - 2009
Externally published	Yes
Event	2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009 - Shenzhen, China Duration: 19 Dec 2009 → 20 Dec 2009

Publication series

Name	KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

Conference

Conference	2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009
Country/Territory	China
City	Shenzhen
Period	19/12/09 → 20/12/09

Keywords

Fingerprint based location
SVM
Transmission loss location

Access to Document

10.1109/KESE.2009.67

Cite this

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title = "Research on RSS based indoor location method",

abstract = "with the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSSbased is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization and data exchange. Current applied RSS-based indoor location algorithms are proposed in this paper. And also, the limitations and modified algorithms of these algorithms have been discussed. Comparing various current algorithms, this paper supported the applied prospects of SVM in indoor positioning systems.",

keywords = "Fingerprint based location, SVM, Transmission loss location",

author = "Di Wu and Yubin Xu and Lin Ma",

year = "2009",

doi = "10.1109/KESE.2009.67",

language = "英语",

isbn = "9780769539164",

series = "KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering",

pages = "205--208",

booktitle = "KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering",

note = "2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009 ; Conference date: 19-12-2009 Through 20-12-2009",

}

Wu, D, Xu, Y & Ma, L 2009, Research on RSS based indoor location method. in KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering., 5383582, KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, pp. 205-208, 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009, Shenzhen, China, 19/12/09. https://doi.org/10.1109/KESE.2009.67

Research on RSS based indoor location method. / Wu, Di; Xu, Yubin; Ma, Lin.
KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering. 2009. p. 205-208 5383582 (KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on RSS based indoor location method

AU - Wu, Di

AU - Xu, Yubin

AU - Ma, Lin

PY - 2009

Y1 - 2009

N2 - with the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSSbased is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization and data exchange. Current applied RSS-based indoor location algorithms are proposed in this paper. And also, the limitations and modified algorithms of these algorithms have been discussed. Comparing various current algorithms, this paper supported the applied prospects of SVM in indoor positioning systems.

AB - with the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSSbased is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization and data exchange. Current applied RSS-based indoor location algorithms are proposed in this paper. And also, the limitations and modified algorithms of these algorithms have been discussed. Comparing various current algorithms, this paper supported the applied prospects of SVM in indoor positioning systems.

KW - Fingerprint based location

KW - SVM

KW - Transmission loss location

UR - https://www.scopus.com/pages/publications/77949828252

U2 - 10.1109/KESE.2009.67

DO - 10.1109/KESE.2009.67

M3 - 会议稿件

AN - SCOPUS:77949828252

SN - 9780769539164

T3 - KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

SP - 205

EP - 208

BT - KESE 2009 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering

T2 - 2009 Pacific-Asia Conference on Knowledge Engineering and Software Engineering, KESE 2009

Y2 - 19 December 2009 through 20 December 2009

ER -

Research on RSS based indoor location method

Abstract

Publication series

Conference

Keywords

Access to Document

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