Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Physical distance vs. signal distance: An analysis towards better location fingerprinting

Zhou, M and Krishnamurthy, P and Xu, Y and Ma, L (2011) Physical distance vs. signal distance: An analysis towards better location fingerprinting. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

The laborious collection of location fingerprints, that could also potentially change with time, remains a hurdle towards the widespread deployment of indoor and campus area positioning using WiFi. In this paper, we present a preliminary analysis of the complicated relationship between distance in signal space, the physical distance and location errors towards better guidelines for fingerprint collection. We introduce the idea of entropy of location fingerprints and investigate the relationships between physical and signal distances, entropy, and expected errors with positioning using location fingerprinting. We present results with no access point and one access point and consider variations in the density of reference points and the standard deviation of signal strength to illustrate the issues. © 2011 IEEE.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zhou, M
Krishnamurthy, Pprashk@pitt.eduPRASHK
Xu, Y
Ma, L
Date: 24 November 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proc.- 2011 IEEE International Conference on HPCC 2011 - 2011 IEEE International Workshop on FTDCS 2011 -Workshops of the 2011 Int. Conf. on UIC 2011- Workshops of the 2011 Int. Conf. ATC 2011
Page Range: 977 - 982
Event Type: Conference
DOI or Unique Handle: 10.1109/hpcc.2011.143
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9780769545387
Date Deposited: 05 Jul 2012 21:31
Last Modified: 04 Feb 2019 15:59
URI: http://d-scholarship.pitt.edu/id/eprint/12723

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item