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Author Venkatesh, S. ♦ Buehrer, R.M.
Sponsorship ACM SIGBED & IEEE Signal Process. Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Algorithm design and analysis ♦ NLOS environment ♦ time-of-arrival estimation ♦ wireless sensor networks ♦ Peer to peer computing ♦ location estimation ♦ Linear programming ♦ Degradation ♦ Wireless communication ♦ Intelligent networks ♦ Wireless sensor networks ♦ Computer architecture ♦ line-of-sight ♦ Permission ♦ Monitoring
Abstract In this paper, we propose a linear programming approach to the problem of non-line-of-sight (NLOS) error mitigation in sensor networks. The locations of sensor nodes can be estimated using range or distance estimates from location-aware "anchor" nodes. In the absence of line-of-sight (LOS) between the sensor and anchor nodes, e.g., in indoor networks, the NLOS range estimates can be severely biased. If these biased range estimates are directly incorporated into practical location estimators such as the least-squares (LS) estimator without the mitigation of these bias errors, this can potentially lead to degradation in the accuracy of sensor location estimates. On the other hand, discarding the biased range estimates may not be a viable option, since the number of range estimates available may be limited. We present a novel NLOS bias mitigation scheme, based on linear programming, which (i) allows us to incorporate NLOS range information into sensor location-estimation, but (ii) does not allow NLOS bias errors to degrade sensor localization accuracy
Description Author affiliation: Mobile & Portable Radio Res. Group, Virginia Tech., Blacksburg, VA (Venkatesh, S.; Buehrer, R.M.)
ISBN 1595933344
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-04-19
Publisher Place USA
Rights Holder Association for Computing Machinery, Inc. (ACM)
Size (in Bytes) 2.44 MB
Page Count 8
Starting Page 301
Ending Page 308

Source: IEEE Xplore Digital Library