Vertex Projection and Maximum Likelihood Position Location in Reconfigurable Networks

Vertex Projection and Maximum Likelihood Position Location in Reconfigurable Networks A low-complexity vertex-projection method based on a pyramidal trilateration technique suitable for node position estimation in ad-hoc/sensor network scenarios is presented. Also a maximum likelihood position location is introduced to compare position location performance. The proposed methodology relies solely on range estimate between neighboring nodes on the connecting path linking the node of interest to the reference location access points. Feasibility is studied in the presence of measuring and routing noise and path dispersion that depend on the node density and reachability of radius. Results show that adequate proximity information can be achieved for a wide variety of multi-hop scenarios. Number of reference nodes is increased and shown that three references are sufficient for position location. Noisy environments where iid and non-iid random variables are generated are also shown, where the proposed algorithm achieves good performance in terms of the rms error position. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Vertex Projection and Maximum Likelihood Position Location in Reconfigurable Networks

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4234-z
Publisher site
See Article on Publisher Site

Abstract

A low-complexity vertex-projection method based on a pyramidal trilateration technique suitable for node position estimation in ad-hoc/sensor network scenarios is presented. Also a maximum likelihood position location is introduced to compare position location performance. The proposed methodology relies solely on range estimate between neighboring nodes on the connecting path linking the node of interest to the reference location access points. Feasibility is studied in the presence of measuring and routing noise and path dispersion that depend on the node density and reachability of radius. Results show that adequate proximity information can be achieved for a wide variety of multi-hop scenarios. Number of reference nodes is increased and shown that three references are sufficient for position location. Noisy environments where iid and non-iid random variables are generated are also shown, where the proposed algorithm achieves good performance in terms of the rms error position.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Apr 27, 2017

References

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