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Journal of Sensors
Volume 2017, Article ID 6731204, 14 pages
Research Article

EM-Based High Speed Wireless Sensor Networks for Underwater Surveillance and Target Tracking

1Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, ACT 261, Australia
2National Centre for Sensors and Defense Systems Technologies, King Abdulaziz City of Science and Technology, Riyadh, Saudi Arabia
3Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
4School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia

Correspondence should be addressed to Kumudu Munasinghe; ua.ude.arrebnac@ehgnisanum.udumuk

Received 17 June 2016; Revised 16 November 2016; Accepted 14 December 2016; Published 26 February 2017

Academic Editor: José A. Somolinos

Copyright © 2017 Kumudu Munasinghe et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Underwater Wireless Sensor Networks (UWSNs) are considered as tangible, low cost solution for underwater surveillance and exploration. Existing acoustic wave-based UWSN systems fail to meet the growing demand for fast data rates required in military operations, oil/gas exploration, and oceanographic data collection. Electromagnetic (EM) wave-based communication systems, on the other hand, have great potential for providing high speed data rates in such scenarios. This paper will discuss the challenges faced in the utilization of EM waves for the design of tactical underwater surveillance systems and evaluate several EM wave-based three-dimensional (3D) UWSN architectures differing in topologies and/or operation principles on the performance of localization and target tracking. To the best of our knowledge, this is the first of its kind in the field of underwater communications where underwater surveillance techniques for EM wave-based high speed UWSNs have been investigated. Thus, this will be a major step towards achieving future high speed UWSNs.