NDLI: An opportunistic indoors positioning scheme based on estimated positions

Content Provider	IEEE Xplore Digital Library
Author	GuoDong Kang Perennou, T. Diaz, M.
Copyright Year	2009
Description	Author affiliation: Université de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077, France (GuoDong Kang; Perennou, T.) \|\| CNRS; LAAS; 7 avenue du colonel Roche, F-31077 Toulouse, France (Diaz, M.)
Abstract	Positioning requirements for mobile nodes in wireless (sensor) networks are largely increasing. However for indoors environments most of the existing solutions are expensive in terms of technology or infrastructure. We propose an indoors positioning scheme in which a static user collects self-estimated positions of collaborating peer nodes within radio range as well as the error ranges of these estimations and determines its position with a linear matrix inequality (LMI) method coupled with a barycenter computation. The approach is evaluated with simulations where the input parameters are the maximum radio range, the number of peer nodes within range, their speed, and dynamic error estimation. The simulations show that the scheme works fine even when the error estimation linearly increases with time. To estimate its position within 1 meter accuracy, the user node may wait at the same position for 5 minutes, with 16 pedestrians moving around him and an error increase rate of 10%.
Starting Page	844
Ending Page	850
File Size	539755
Page Count	7
File Format	PDF
ISBN	9781424446728
ISSN	15301346
DOI	10.1109/ISCC.2009.5202295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-05
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Wireless sensor networks Computational modeling Error analysis Uninterruptible power systems Indium phosphide Analytical models Indoor environments Collaboration Linear matrix inequalities Opportunistic Wireless Networks Indoors Positioning
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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