A cross-correlation based node estimation technique in underwater wireless communication network

Abu Sadat Md Sayem; Md. Shamim Anower

doi:10.1109/CEEE.2015.7428254

A cross-correlation based node estimation technique in underwater wireless communication network

Abu Sadat Md Sayem, Md. Shamim Anower

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

1 Citation (Scopus)

Abstract

Effectiveness of an underwater sensor network depends on the number of operating nodes, energy efficiency, and the lifetime of the network. So, the number of active nodes plays a vital role in system performance. But, in underwater harsh environment the number of operating nodes vary frequently with time due to various artificial and natural reasons (for example, failure of some nodes, some could be damaged, or batteries might fail). So, it is a matter of great interest for a communication network to know how many operating nodes or transmitters are available in the region at any point in time to ensure proper network operation (such as routing) as well as network maintenance. In this paper a simple node estimation technique based on the cross-correlation of the acoustic signals received at three sensors in the network has been proposed. The nodes are considered as acoustic signal sources and their number is obtained through the cross-correlation of the acoustic signals received at three sensors in the network. The mean of the cross-correlation function is related with the number of nodes and used as the estimation parameter in the process. Theoretical and simulation results are provided which shows effectiveness of the proposed approach.

Original language	English
Title of host publication	1st International Conference on Electrical and Electronic Engineering (ICEE 2015)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	197-200
Number of pages	4
ISBN (Electronic)	9781467378192, 9781467378185
ISBN (Print)	9781509019397
DOIs	https://doi.org/10.1109/CEEE.2015.7428254
Publication status	Published - 2015
Externally published	Yes
Event	1st International Conference on Electrical and Electronic Engineering, ICEEE 2015 - Rajshahi, Bangladesh Duration: 4 Nov 2015 → 6 Nov 2015

Other

Other	1st International Conference on Electrical and Electronic Engineering, ICEEE 2015
Country/Territory	Bangladesh
City	Rajshahi
Period	4/11/15 → 6/11/15

Keywords

Cross correlation function (CCF)
estimation parameter
mean of cross-correlation function
node estimation
wireless communication network (WCN)
wireless sensor network (WSN) and underwater acoustic sensor networks (UASN)

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10.1109/CEEE.2015.7428254

Cite this

@inproceedings{67f72d15f63e496f970c280b340dff94,

title = "A cross-correlation based node estimation technique in underwater wireless communication network",

abstract = "Effectiveness of an underwater sensor network depends on the number of operating nodes, energy efficiency, and the lifetime of the network. So, the number of active nodes plays a vital role in system performance. But, in underwater harsh environment the number of operating nodes vary frequently with time due to various artificial and natural reasons (for example, failure of some nodes, some could be damaged, or batteries might fail). So, it is a matter of great interest for a communication network to know how many operating nodes or transmitters are available in the region at any point in time to ensure proper network operation (such as routing) as well as network maintenance. In this paper a simple node estimation technique based on the cross-correlation of the acoustic signals received at three sensors in the network has been proposed. The nodes are considered as acoustic signal sources and their number is obtained through the cross-correlation of the acoustic signals received at three sensors in the network. The mean of the cross-correlation function is related with the number of nodes and used as the estimation parameter in the process. Theoretical and simulation results are provided which shows effectiveness of the proposed approach.",

keywords = "Cross correlation function (CCF), estimation parameter, mean of cross-correlation function, node estimation, wireless communication network (WCN), wireless sensor network (WSN) and underwater acoustic sensor networks (UASN)",

author = "Sayem, {Abu Sadat Md} and Anower, {Md. Shamim}",

year = "2015",

doi = "10.1109/CEEE.2015.7428254",

language = "English",

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pages = "197--200",

booktitle = "1st International Conference on Electrical and Electronic Engineering (ICEE 2015)",

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

address = "United States",

note = "1st International Conference on Electrical and Electronic Engineering, ICEEE 2015 ; Conference date: 04-11-2015 Through 06-11-2015",

}

Sayem, ASM & Anower, MS 2015, A cross-correlation based node estimation technique in underwater wireless communication network. in 1st International Conference on Electrical and Electronic Engineering (ICEE 2015). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 197-200, 1st International Conference on Electrical and Electronic Engineering, ICEEE 2015, Rajshahi, Bangladesh, 4/11/15. https://doi.org/10.1109/CEEE.2015.7428254

A cross-correlation based node estimation technique in underwater wireless communication network. / Sayem, Abu Sadat Md; Anower, Md. Shamim.
1st International Conference on Electrical and Electronic Engineering (ICEE 2015). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 197-200.

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

TY - GEN

T1 - A cross-correlation based node estimation technique in underwater wireless communication network

AU - Sayem, Abu Sadat Md

AU - Anower, Md. Shamim

PY - 2015

Y1 - 2015

N2 - Effectiveness of an underwater sensor network depends on the number of operating nodes, energy efficiency, and the lifetime of the network. So, the number of active nodes plays a vital role in system performance. But, in underwater harsh environment the number of operating nodes vary frequently with time due to various artificial and natural reasons (for example, failure of some nodes, some could be damaged, or batteries might fail). So, it is a matter of great interest for a communication network to know how many operating nodes or transmitters are available in the region at any point in time to ensure proper network operation (such as routing) as well as network maintenance. In this paper a simple node estimation technique based on the cross-correlation of the acoustic signals received at three sensors in the network has been proposed. The nodes are considered as acoustic signal sources and their number is obtained through the cross-correlation of the acoustic signals received at three sensors in the network. The mean of the cross-correlation function is related with the number of nodes and used as the estimation parameter in the process. Theoretical and simulation results are provided which shows effectiveness of the proposed approach.

AB - Effectiveness of an underwater sensor network depends on the number of operating nodes, energy efficiency, and the lifetime of the network. So, the number of active nodes plays a vital role in system performance. But, in underwater harsh environment the number of operating nodes vary frequently with time due to various artificial and natural reasons (for example, failure of some nodes, some could be damaged, or batteries might fail). So, it is a matter of great interest for a communication network to know how many operating nodes or transmitters are available in the region at any point in time to ensure proper network operation (such as routing) as well as network maintenance. In this paper a simple node estimation technique based on the cross-correlation of the acoustic signals received at three sensors in the network has been proposed. The nodes are considered as acoustic signal sources and their number is obtained through the cross-correlation of the acoustic signals received at three sensors in the network. The mean of the cross-correlation function is related with the number of nodes and used as the estimation parameter in the process. Theoretical and simulation results are provided which shows effectiveness of the proposed approach.

KW - Cross correlation function (CCF)

KW - estimation parameter

KW - mean of cross-correlation function

KW - node estimation

KW - wireless communication network (WCN)

KW - wireless sensor network (WSN) and underwater acoustic sensor networks (UASN)

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U2 - 10.1109/CEEE.2015.7428254

DO - 10.1109/CEEE.2015.7428254

M3 - Conference proceeding contribution

SN - 9781509019397

SP - 197

EP - 200

BT - 1st International Conference on Electrical and Electronic Engineering (ICEE 2015)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 1st International Conference on Electrical and Electronic Engineering, ICEEE 2015

Y2 - 4 November 2015 through 6 November 2015

ER -

A cross-correlation based node estimation technique in underwater wireless communication network

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