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Performance comparison of underwater network size estimation techniques

Authors:

S. A. H. Chowdhury,

J. E. GitiAuthors Info & Claims

International Journal of Systems, Control and Communications, Volume 7, Issue 1

Pages 16 - 34

https://doi.org/10.1504/IJSCC.2016.075116

Published: 01 March 2016 Publication History

Abstract

Nowadays, size number of nodes estimation has received much attention in the field of wireless sensor networks. Due to the harshness of underwater environment, size estimation is difficult in underwater wireless sensor network using existing methods of terrestrial networks. For this purpose, cross-correlation CC-based size estimation techniques using two and three sensors have been proposed by the authors in their previous works. In this paper, estimation performances of these CC-based techniques are compared with other underwater network size estimation approaches. It is observed from the comparison that, three sensor case of CC-based method shows better performance in terms of accuracy and estimation time than those of the other methods.

References

[1]

Anower, M.S. (2011) Estimation Using Cross-Correlation in A Communications Network, PhD dissertation, SEIT, University of New South Wales at Australian Defense Force Academy, Canberra.

[2]

Anower, M.S., Chowdhury, S.A.H., Giti, J.E., Sayem, A.S.M. and Haque, M.I. (2014a) 'Underwater network size estimation using cross-correlation: selection of estimation parameter', Proc. 9th Int. Forum on Strategic Technology (IFOST), Cox's Bazar, Bangladesh, 21-23 October, pp.170-173.

[3]

Anower, M.S., Chowdhury, S.A.H., Giti, J.E. and Haque, M.I. (2014b) 'Effect of bandwidth in cross-correlation based underwater network size estimation', Proc. 8th Int. Conf. Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 20-22 December, pp.413-416.

[4]

Anower, M.S., Motin, M.A., Sayem, A.S.M. and Chowdhury, S.A.H. (2013) 'A node estimation technique in underwater wireless sensor network', Proc. Int. Conf. Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, 17-18 May, pp.1-6.

[5]

Anower, S., Frater, M.R. and Ryan, M.J. (2009) 'Estimation by cross-correlation of the number of nodes in underwater networks', Proc. Australasian Telecommunication Networks and Applications Conf. (ATNAC), 10-12 November, pp.1-6.

[6]

Bain, S.K., Chowdhury, S.A.H., Asif, A.H.M., Anower, M.S., Pervej, M.F. and Haque, S.S. (2014) 'Impact of underwater bandwidth on cross-correlation based node estimation technique', Proc. 17th Int. Conf. Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 22-23 December, pp.494-497.

[7]

Barry, B.A. (1978) Errors in Practical Measurement in Science, Engineering, and Technology, John Wiley & Sons, New York.

[8]

Cattani, M., Zuniga, M., Loukas, A. and Langendoen, K. (2014) 'Lightweight neighborhood cardinality estimation in dynamic wireless networks', Proc. 13th Int. Symposium Information Processing in Sensor Networks, Germany, Berlin, 15-17 April, pp.179-189.

[9]

Chen, S., Qiao, Y., Chen, S. and Li, J. (2013) 'Estimating the cardinality of a mobile peer-to-peer network', IEEE Journal on Selected Areas in Communications, September, Vol. 31, No. 9, pp.359-368.

[10]

Chowdhury, S.A.H., Anower, M.S. and Giti, J.E. (2014a) 'A signal processing approach of underwater network node estimation with three sensors', Proc. 1st Int. Conf. Electrical Engineering and Information & Commun. Technology (ICEEICT), Dhaka, Bangladesh, 10-12 April, pp.1-6.

[11]

Chowdhury, S.A.H., Anower, M.S. and Giti, J.E. (2014b) 'Effect of sensor number and location in cross-correlation based node estimation technique for underwater communications network', in Proc. 3rd Int. Conf. Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, 23-24 May, pp.1-6.

[12]

Chowdhury, S.A.H., Anower, M.S., Giti, J.E. and Haque, M.I. (2014c) 'Effect of signal strength on different parameters of cross-correlation function in underwater network cardinality estimation', Proc. 17th Int. Conf. Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 22-23 December, pp.430-434.

[13]

Climent, S., Sanchez, A., Capella, J.V., Meratnia, N. and Serrano, J.J. (2014) 'Underwater acoustic wireless sensor networks: advances and future trends in physical, MAC and routing layers', Sensors (Basel, Switzerland), January, Vol. 14, No. 1, pp.795-833.

[14]

Howlader, M.S.A. (2009) Estimation and Identification of Neighbours in Wireless Networks Considering the Capture Effect and Long Delay, PhD dissertation, SEIT, University of New South Wales at Australian Defense Force Academy, Canberra.

[15]

Howlader, M.S.A., Frater, M.R. and Ryan, M.J. (2007a) 'Estimation in underwater sensor networks taking into account capture', Proceedings of IEEE Oceans'07, Aberdeen, Scotland, 18-21 June, pp.1-6.

[16]

Howlader, M.S.A., Frater, M.R. and Ryan, M.J. (2007b) 'Estimating the number of neighbours and their distribution in an underwater communication network (UWCN)', Proc. Second Int. Conf. Sensor Technologies and Applications, 20-22 November, Canberra.

[17]

Howlader, M.S.A., Frater, M.R. and Ryan, M.J. (2014) 'Delay-insensitive identification of neighbors using unslotted and slotted protocols', Wirel. Commun. Mob. Comput., June, Vol. 14, No. 8, pp.831-848.

[18]

Luna, G., Baldoni, R., Bonomi, S. and Chatzigiannakis, I. (2014) 'Conscious and unconscious counting on anonymous dynamic networks', Proc. 15th Int. Conf. Distributed Computing and Networking (ICDCN), Amrita University, Coimbatore, India, 3-6 January, pp.257-271.

Digital Library

[19]

Sluciak, O. and Rupp, M. (2013) 'Network size estimation using distributed orthogonalization', IEEE Signal Processing Letters, Vol. 20, No. 4, pp.347-350.

[20]

Smith, S.W. (1999) 'Chapter 2: statistics, probability and noise', in The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Publishing, San Diego, CA.

[21]

Varagnolo, D., Pillonetto, G. and Schenato, L. (2014) 'Distributed cardinality estimation in anonymous networks', IEEE Trans. Automatic Control, March, Vol. 59, No. 3, pp.64-659.

[22]

Yeh, K., Lo, N., Tsai, K., Li, Y. and Winata, E. (2014) 'A novel RFID tag identification protocol: adaptive n-resolution and k-collision arbitration', Wirel. Personal Commun, August, Springer, Vol. 77, No. 3, pp.1775-1800.

[23]

Zheng, Y. and Li, M. (2014) 'Towards more efficient cardinality estimation for large-scale RFID systems', IEEE/ACM Trans. Networking, December, Vol. 22, No. 6, pp.1886-1896.

Digital Library

Cited By

Chowdhury SGiti JAnower M(2017)Optimization Between Estimation Error and Transmit Energy in Cross-Correlation Based Underwater Network Cardinality EstimationWireless Personal Communications: An International Journal10.1007/s11277-017-4811-197:4(5797-5816)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11277-017-4811-1

Performance comparison of underwater network size estimation techniques
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks
  1. Network types

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Published In

cover image International Journal of Systems, Control and Communications

International Journal of Systems, Control and Communications Volume 7, Issue 1

March 2016

96 pages

ISSN:1755-9340

EISSN:1755-9359

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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 March 2016

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Cited By

Chowdhury SGiti JAnower M(2017)Optimization Between Estimation Error and Transmit Energy in Cross-Correlation Based Underwater Network Cardinality EstimationWireless Personal Communications: An International Journal10.1007/s11277-017-4811-197:4(5797-5816)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s11277-017-4811-1

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