We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Coverage Probability using EM waves for UWSN in Shadowing Environment

by Anvesha Katti, D. K. Lobiyal
journal cover thumbnail

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.

References
  1. A.Ghosh, S.Das “Coverage and connectivity issues in wireless sensor networks: A survey”. Pervasive and Mobile Computing Elsevier.2008.
  2. G.Mao, B.Anderson, B.Fidan ”Path loss exponent estimation for wireless sensor network localization” Computer Networks.2007.
  3. C.Zhu, C.Zheng, L.Shu, G.Han”A survey on coverage and connectivity issues in wireless sensor networks” Journal of Network and Computer Applications, 2012.
  4. Xing G, Wang X, Zhang Y, Lu C, Pless R, Gill C. Integrated coverage and connectivity configuration in wireless sensor networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys ’03);2003
  5. G.Xing, X.Wang, Y.Zhang, C.Lu, R.Pless, C.Gill “Integrated coverage and connectivity configuration for energy conservation in sensor networks”. ACM Transactions on Sensor Networks. 2005.
  6. Y.Tsai “Sensing coverage for randomly distributed wireless sensor networks in shadowed environments” IEEE Transactions on Vehicular Technology. 2008.
  7. L.Liu, S.Zhou, J.Cui “Prospects and Problems of Wireless Communication for Underwater Sensor Networks” Wireless Communication & Mobile Computing. 2008.
  8. Elrashidi A. Underwater Wireless Sensor Network Communication Using Electromagnetic Waves at Resonance Frequency 2.4 GHz. In Proceedings of the 15th Communications and Networking Simulation Symposium
  9. T. Weldon, A. Rathroe “Wave Propagation Model and Simulation for Landmine Detection” Tech. Republic 1999.
  10. Stuber. G. Principles of Mobile Communication. Klumer Academic Publishers.1996.
  11. Theodore, Rappaport S. Wireless Communications: Principles & Practice, New Jersey :Prentice Hall,1996.
  12. Ramo S, Whinnery J, Van Duzer T. Fields and Water for Communications Electronics. New York : John Wiley and Sons.1994.
  13. Wait J. Electromagnetic Wave Theory. New York :Harper and Row. 1985.
  14. Y.Xiaoqing “Electromagnetic Wave Propagation In Soil For Wireless Underground Sensor Networks”. Progress In Electromagnetics Research 2013.
  15. K.Hunt, J.Niemeier, A.Kruger “RF Communications in Underwater Wireless Sensor Networks” IEEE International Conference on Electro/Information Technology (EIT) 2010
  16. J.Goh,A.Shaw,A.Shanmma “Underwater Wireless Communication System”. Journal of Physics.2009
  17. A.Shamma, A.Shaw,S.Saman “Propagation of Electromagnetic Waves at MHz Frequencies through Seawater”. IEEE Transactions on Antennas and Propagation; 2004
  18. Heidemann J, Stojanovic M,  Zorzi M Underwater sensor networks: applications, advances and challenges [Internet] 2011[cited 2011] http://rsta.royalsocietypublishing.org/content/370/1958/158
  19. Hossain A, Biswas P, Chakrabarti S.Sensing models and its impact on network coverage in wireless sensor network. In Proceedings of the IEEE Region 10 Colloquium and 3rd International Conference on Industrial and Information Systems(ICIIS ’08)2008 December; Kharagpur, India ;P 1–5.
  20. C.Huang,Y.Tseng “The coverage problem in a wireless sensor network”. Mobile Networks and Applications.2005
  21. S.Kumar, D.K. Lobiyal “Sensing Coverage Prediction for Wireless Sensor Networks in Shadowed and Multipath Environment”. The Scientific World Journal.2013.
Index Terms

Computer Science
Information Sciences

Keywords

Coverage probability detection probability shadowing fading underwater sensor networks

Powered by PhDFocusTM