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Reseach Article

Grid based Fuzzy Optimized Routing Protocol for Underwater Sensor Networks

by Md.mahfuz Reza, Kazi Tiomour Rahman, A S M Zakaria
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 7
Year of Publication: 2015
Authors: Md.mahfuz Reza, Kazi Tiomour Rahman, A S M Zakaria
10.5120/19679-1403

Md.mahfuz Reza, Kazi Tiomour Rahman, A S M Zakaria . Grid based Fuzzy Optimized Routing Protocol for Underwater Sensor Networks. International Journal of Computer Applications. 112, 7 ( February 2015), 23-26. DOI=10.5120/19679-1403

@article{ 10.5120/19679-1403,
author = { Md.mahfuz Reza, Kazi Tiomour Rahman, A S M Zakaria },
title = { Grid based Fuzzy Optimized Routing Protocol for Underwater Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 7 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number7/19679-1403/ },
doi = { 10.5120/19679-1403 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:49.890052+05:30
%A Md.mahfuz Reza
%A Kazi Tiomour Rahman
%A A S M Zakaria
%T Grid based Fuzzy Optimized Routing Protocol for Underwater Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 7
%P 23-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Underwater Sensor Network (UWSNs) there are several problems with limited bandwidth, long propagation delay, low battery power, location problems because of having adverse environment. In Grid Based Fuzzy Optimized (GBFO) routing protocol the whole network is divided by different virtual grids. Then energy estimation of an active node with in a grid has been performed. After making sequence of active nodes, only one node is in active mode and remaining nodes will perform as sleeping node. Having multiple characteristics and packet forwarding among active nodes in fuzzy optimized active node selection phase the activeness ratio takes into account the eligible neighbor's based on link expiration time, Number of packets within a node. Active node will select from fuzzy. It will compensate loss energy of networks. Provides facilities where a node can communicate with centroid infrastructure.

References
  1. Joseph Miquel Jornet, Milica Stojanovic, Michele Zorzi. "Focused Beam Routing Protocol for Underwater Acoustic Networks", WUWNet'08, September 15, 2008, San Francisco, CA.
  2. Md. Asraf Uddin and Mamun-or-Rashid, "Link Expiration Time Aware Routing Protocol for UWSNs", Hindawi Publishing Corporation volume:2013, Article ID6252
  3. Daeyoup Hwang, Dongkyun Kim. "DFR: Directional Flooding Based Routing Protocol for Underwater Sensor Networks",978-1-4244-2620-1/08 ©2008 IEEE
  4. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  5. Ian F. Akyildiz, Georgia Institute of Technology, USA. "Wireless sensor network".
  6. P. S. Hiremath, Shrihari M. Joshi. " Energy Efficient Routing Protocol with Adap Fuzzy Threshold Energy for MANETs ". IJCNWC), ISSN: 2250-3501 Vol. 2, No. 3, June 2012.
  7. H. Yan, Z. Shi, and J. H. Cui, "Dbr: depth-based routing for underwater sensor networks," in NETWORKING 2008AdHoc and Sensor Networks, Wireless Networks, Next Generation Internet, vol. 4982 of Lecture Notes in Computer Science, pp. 72–86.
  8. W. K. G. Seah and H. X. Tan, "Multipath virtual sink architecture for underwater sensor networks," in Proceedings of the OCEANS 2006 Asia Pacifi Conference, May 2007
  9. I. F. Akyildiz, D. Pompili, and T. Melodia, "Challenges for efiient communication in underwater acoustic sensor networks,"AC M Sigbed Re v ie w, vol. 1, no. 2, pp. 3–8, 2004.
  10. J. Heidemann, Y. Li, A. Syed, J. Wills, and W. Ye, "Underwater sensor networking: research challenges and potential applications," USC/ISI Technical Report ISI-TR-2005-603, 2005.
  11. N. Nicolaou, A. See, P. Xie, J. H. Cui, and D. Maggiorini, "Improving the robustness of location-based routing for underwater sensor networks," in Proceedings of the OCEANS Europe,pp. 1–6, June 2007.
Index Terms

Computer Science
Information Sciences

Keywords

UWSNs Activeness Ratio GBFO FIS