Optimization Between Estimation Error and Transmit Energy in Cross-Correlation Based Underwater Network Cardinality Estimation

Optimization Between Estimation Error and Transmit Energy in Cross-Correlation Based Underwater... Network cardinality is a very crucial factor to ensure proper functionality of a communications network. Due to the harsh underwater environment, cardinality estimation of underwater wireless communications network using conventional protocol based methods of terrestrial networks is very challenging and inefficient. Hence, a cross-correlation based estimation approach using Gaussian signals is applied for this purpose. To obtain better performance using this estimation approach, it is assumed that the length of the signals is infinity, which is practically impossible because it implies infinite transmit energy. For this reason, it is required to investigate the effect of various signal length (N s) on estimation performance. In process of achieving this goal, a relation between the N s and estimation error is derived in this paper. Using this relationship, optimization between estimation error and transmit energy is obtained as N s is an energy related term in the estimation process. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Optimization Between Estimation Error and Transmit Energy in Cross-Correlation Based Underwater Network Cardinality Estimation

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4811-1
Publisher site
See Article on Publisher Site

Abstract

Network cardinality is a very crucial factor to ensure proper functionality of a communications network. Due to the harsh underwater environment, cardinality estimation of underwater wireless communications network using conventional protocol based methods of terrestrial networks is very challenging and inefficient. Hence, a cross-correlation based estimation approach using Gaussian signals is applied for this purpose. To obtain better performance using this estimation approach, it is assumed that the length of the signals is infinity, which is practically impossible because it implies infinite transmit energy. For this reason, it is required to investigate the effect of various signal length (N s) on estimation performance. In process of achieving this goal, a relation between the N s and estimation error is derived in this paper. Using this relationship, optimization between estimation error and transmit energy is obtained as N s is an energy related term in the estimation process.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 7, 2017

References

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