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Coverage Probability using EM waves for UWSN in Shadowing Environment

by Anvesha Katti, D. K. Lobiyal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 6
Year of Publication: 2016
Authors: Anvesha Katti, D. K. Lobiyal
10.5120/ijca2016912087

Anvesha Katti, D. K. Lobiyal . Coverage Probability using EM waves for UWSN in Shadowing Environment. International Journal of Computer Applications. 153, 6 ( Nov 2016), 52-57. DOI=10.5120/ijca2016912087

@article{ 10.5120/ijca2016912087,
author = { Anvesha Katti, D. K. Lobiyal },
title = { Coverage Probability using EM waves for UWSN in Shadowing Environment },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 6 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 52-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number6/26411-2016912087/ },
doi = { 10.5120/ijca2016912087 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:27.890753+05:30
%A Anvesha Katti
%A D. K. Lobiyal
%T Coverage Probability using EM waves for UWSN in Shadowing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 6
%P 52-57
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A channel model is introduced which considers shadowing fading on coverage probability for underwater sensor networks using electromagnetic signals. A model for finding the probability of detection and coverage using log normal shadowing fading has been derived. A comparative study between the sensing channel model and existing model for terrestrial sensor networks is also presented. It is observed the introduced sensing channel model uses far less number of sensors for coverage of underwater networks in comparison to terrestrial networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Coverage probability detection probability shadowing fading underwater sensor networks

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