Underwater network size estimation using cross-correlation: selection of estimation parameter

M. S. Anower; S. A. H. Chowdhury; J. E. Giti; A. S. M. Sayem; M. I. Haque

doi:10.1109/IFOST.2014.6991097

Underwater network size estimation using cross-correlation: selection of estimation parameter

M. S. Anower, S. A. H. Chowdhury, J. E. Giti, A. S. M. Sayem, M. I. Haque

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

7 Citations (Scopus)

Abstract

Size estimation is very important for a network's proper operation, but it is difficult to estimate in underwater environment using conventional protocol based techniques. An alternative approach of node estimation based on cross-correlation of the signals from the nodes is proposed in this paper, which can be applied to any environment networks, from underwater to space. In this process, different parameters (sum, mean, standard deviation, ratio of standard deviation to the mean) of cross-correlation function (CCF) are used for node estimation. A relative comparison has been discussed which in turn leads us to select the suitable estimation parameter of network size estimation.

Original language	English
Title of host publication	2014 9th International Forum on Strategic Technology (IFOST)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	170-173
Number of pages	4
ISBN (Electronic)	9781479960620, 9781479960606
DOIs	https://doi.org/10.1109/IFOST.2014.6991097
Publication status	Published - 2014
Externally published	Yes
Event	9th International Forum on Strategic Technology, IFOST 2014 - Cox's Bazar, Bangladesh Duration: 21 Oct 2014 → 23 Oct 2014

Other

Other	9th International Forum on Strategic Technology, IFOST 2014
Country/Territory	Bangladesh
City	Cox's Bazar
Period	21/10/14 → 23/10/14

Keywords

Cross-correlation function
estimation parameter
size estimation
underwater signal propagation
underwater wireless sensor network (UWSN)

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10.1109/IFOST.2014.6991097

Cite this

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title = "Underwater network size estimation using cross-correlation: selection of estimation parameter",

abstract = "Size estimation is very important for a network's proper operation, but it is difficult to estimate in underwater environment using conventional protocol based techniques. An alternative approach of node estimation based on cross-correlation of the signals from the nodes is proposed in this paper, which can be applied to any environment networks, from underwater to space. In this process, different parameters (sum, mean, standard deviation, ratio of standard deviation to the mean) of cross-correlation function (CCF) are used for node estimation. A relative comparison has been discussed which in turn leads us to select the suitable estimation parameter of network size estimation.",

keywords = "Cross-correlation function, estimation parameter, size estimation, underwater signal propagation, underwater wireless sensor network (UWSN)",

author = "Anower, {M. S.} and Chowdhury, {S. A. H.} and Giti, {J. E.} and Sayem, {A. S. M.} and Haque, {M. I.}",

year = "2014",

doi = "10.1109/IFOST.2014.6991097",

language = "English",

pages = "170--173",

booktitle = "2014 9th International Forum on Strategic Technology (IFOST)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "9th International Forum on Strategic Technology, IFOST 2014 ; Conference date: 21-10-2014 Through 23-10-2014",

}

Anower, MS, Chowdhury, SAH, Giti, JE, Sayem, ASM & Haque, MI 2014, Underwater network size estimation using cross-correlation: selection of estimation parameter. in 2014 9th International Forum on Strategic Technology (IFOST). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 170-173, 9th International Forum on Strategic Technology, IFOST 2014, Cox's Bazar, Bangladesh, 21/10/14. https://doi.org/10.1109/IFOST.2014.6991097

Underwater network size estimation using cross-correlation: selection of estimation parameter. / Anower, M. S.; Chowdhury, S. A. H.; Giti, J. E. et al.
2014 9th International Forum on Strategic Technology (IFOST). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 170-173.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

TY - GEN

T1 - Underwater network size estimation using cross-correlation

T2 - 9th International Forum on Strategic Technology, IFOST 2014

AU - Anower, M. S.

AU - Chowdhury, S. A. H.

AU - Giti, J. E.

AU - Sayem, A. S. M.

AU - Haque, M. I.

PY - 2014

Y1 - 2014

N2 - Size estimation is very important for a network's proper operation, but it is difficult to estimate in underwater environment using conventional protocol based techniques. An alternative approach of node estimation based on cross-correlation of the signals from the nodes is proposed in this paper, which can be applied to any environment networks, from underwater to space. In this process, different parameters (sum, mean, standard deviation, ratio of standard deviation to the mean) of cross-correlation function (CCF) are used for node estimation. A relative comparison has been discussed which in turn leads us to select the suitable estimation parameter of network size estimation.

AB - Size estimation is very important for a network's proper operation, but it is difficult to estimate in underwater environment using conventional protocol based techniques. An alternative approach of node estimation based on cross-correlation of the signals from the nodes is proposed in this paper, which can be applied to any environment networks, from underwater to space. In this process, different parameters (sum, mean, standard deviation, ratio of standard deviation to the mean) of cross-correlation function (CCF) are used for node estimation. A relative comparison has been discussed which in turn leads us to select the suitable estimation parameter of network size estimation.

KW - Cross-correlation function

KW - estimation parameter

KW - size estimation

KW - underwater signal propagation

KW - underwater wireless sensor network (UWSN)

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DO - 10.1109/IFOST.2014.6991097

M3 - Conference proceeding contribution

SP - 170

EP - 173

BT - 2014 9th International Forum on Strategic Technology (IFOST)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

Y2 - 21 October 2014 through 23 October 2014

ER -

Underwater network size estimation using cross-correlation: selection of estimation parameter

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