A novel technique for underwater object detection using 3D em sensor network

Sarah Tanzina, Sultan Hassan Mahmud, Md Farhad Hossain

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

1 Citation (Scopus)

Abstract

Localization of objects in underwater environment using electromagnetic (EM) wave based underwater wireless sensor networks (UWSNs) provides the opportunity of faster object detection in comparison with acoustic wave based networks. For this purpose, we propose a novel technique using the law of reflection and spheres with different radii in three dimensional (3D) space. The overall system comprises of a source (transmitter), sensors in a sensor field, cluster heads and an onshore base station (BS). The system is divided in various zones with each zone having a number of spheres. If the object is in the propagation path of the transmitted EM wave, signal gets reflected and is received by one or multiple sensors. Information of location of these sensors is subsequently transferred to the onshore BS which then calculates the location of the object using the proposed algorithm. To assess the performance of the proposed system in a seawater environment, substantial simulations are carried out.

Original languageEnglish
Title of host publication2nd IEEE International Conference on Telecommunications and Photonics, ICTP 2017
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages72-76
Number of pages5
ISBN (Electronic)9781538633748
DOIs
Publication statusPublished - 2 Jul 2017
Externally publishedYes
Event2nd IEEE International Conference on Telecommunications and Photonics, ICTP 2017 - Dhaka, Bangladesh
Duration: 26 Dec 201728 Dec 2017

Publication series

Name2nd IEEE International Conference on Telecommunications and Photonics, ICTP 2017
Volume2017-December

Conference

Conference2nd IEEE International Conference on Telecommunications and Photonics, ICTP 2017
Country/TerritoryBangladesh
CityDhaka
Period26/12/1728/12/17

Fingerprint

Dive into the research topics of 'A novel technique for underwater object detection using 3D em sensor network'. Together they form a unique fingerprint.

Cite this