CFP last date
20 January 2025
Reseach Article

A Modified Fuzzy Logic Routing for Wireless Mesh Network

by K. Sasikala, V. Rajamani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 2
Year of Publication: 2012
Authors: K. Sasikala, V. Rajamani
10.5120/9665-3795

K. Sasikala, V. Rajamani . A Modified Fuzzy Logic Routing for Wireless Mesh Network. International Journal of Computer Applications. 60, 2 ( December 2012), 28-34. DOI=10.5120/9665-3795

@article{ 10.5120/9665-3795,
author = { K. Sasikala, V. Rajamani },
title = { A Modified Fuzzy Logic Routing for Wireless Mesh Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 2 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number2/9665-3795/ },
doi = { 10.5120/9665-3795 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:07:48.299705+05:30
%A K. Sasikala
%A V. Rajamani
%T A Modified Fuzzy Logic Routing for Wireless Mesh Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 2
%P 28-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To make routing decisions based on more than one check, buffer residency, node energy and hop count and to provide an efficient routing method for wireless mesh networks, a fuzzy based oblivious routing is proposed in this paper. Simulation results in ns-2 verify that they perform better than multiple restriction routing. The AP need not be in the reach of all the nodes in the network. Nodes around the AP forward the packets from the neighbor nodes to the AP. If there are an important number of nodes in the network, neighbor nodes can transfer data with the AP in a few hop. In this wireless mesh network to used for oblivious routing fuzzy logic to perform high level data to reach the destination, any traffic occurred in this network it's to be cleared and data to be send on efficiently on their network

References
  1. Mieso K. Denko1, Isaac Woungang2, Han-Chieh Chao3 and Pedro Cuenca University of Guelph, Canada "Special issue on ubiquitous wireless mesh networks" 2009.
  2. Anne magaly de paula canuta "combining neural network and fuzzy logic for application in chapter recognition" may 2001(pp. 1-196).
  3. Ali El Masri, Lyes Khoukhi, and Dominique Gaiti ICD/ERA, Troyes University of Technology "A Fuzzy Traffic Adaptation Model for Wireless Mesh Networks" Copyright (c) IARIA, 2011. ISBN: 978-1-61208-126-7.
  4. Abdul Mateen, Basit Raza, Mian Muhammad Awais, Muhammad Sher" Selection of the Best DBMS: A Fuzzy based Multi-objective Decision Making Approach"from http://www. monarch. cs. cmu. edu/.
  5. Antonio M. Ortiz and Teresa Olivares Albacete Research Institute of Informatics Spain" Fuzzy Logic Applied to Decision Making in Wireless Sensor Networks"(pp. 223-239).
  6. N. Kumaresan, J. Kavikumar, M. Kumudthaa, and Kuru Ratnavelu" Solution of Fuzzy Differential Equation under Generalized Differentiability by Genetic Programming" World Academy of Science, Engineering and Technology 80 2011(pg. no 406-4011).
  7. N. Kumaresan , J. Kavikumar, and Kuru Ratnavelu" Simulink Approach to Solve Fuzzy Differential Equation under Generalized Differentiability" World Academy of Science, Engineering and Technology 64 2012(pp. 980-983).
  8. M. H. Farahi1,*, S. Barati2 Department of Applied Mathematics, Ferdowsi University of Mashhad, Iran, farahi@math. um. ac. ir" Fuzzy Time-Delay Dynamical Systems" The Journal of Mathematics and Computer Science Vol . 2 No. 1 (2011) pp. 44-53.
  9. Nasri Sulaiman, Zeyad Assi Obaid, Member, IACSIT, M. H. Marhaban and M. N. Hamidon" FPGA-Based Fuzzy Logic: Design and Applications – a Review" IACSIT International Journal of Engineering and Technology Vol. 1,No. 5,December,2009 ISSN: 1793-8236(pp. 491-503).
  10. A. J. Yuste1, Alicia Triviño, F. D. Trujillo and E. Casilari2 1Department of Telecommunications Engineering, Jaen University, Linares(Jaen), Spain ajyuste@ujaen. es" USING FUZZY LOGIC IN HYBRID MULTIHOP WIRELESS NETWORKS" International Journal of Wireless & Mobile Networks ( IJWMN ), Vol. 2, No. 3, August 2010(pp. no 96-108).
  11. A. A. Bhorkar, M. Naghshvar, T. Javidi, Member, IEEE, and B. D. Rao, Fellow, IEEE" An Adaptive Opportunistic Routing Scheme for Wireless Ad-hoc Networks"(pp. no 1-14)
  12. Rafael Lopes Gomesa, Waldir Moreira Juniorb, Eduardo Cerqueirac, Antˆonio Jorge Abel´em a Federal University of Para, Para, Brazil" Using Fuzzy Link Cost and Dynamic Choice of Link Quality Metrics to Achieve QoS and QoE in Wireless Mesh Networks"( June 24, 2010 ).
  13. Kausik Kumar Majumdar and Dwijesh Dutta Majumder" Fuzzy Differential Inclusions in Atmospheric and Medical Cybernetics" IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 34, NO. 2, APRIL 2004(pp. 877-887).
  14. Nasri Sulaiman, M. H. Marhaban "Analysis and Performance Evaluation of PD-like Fuzzy Logic Controller Design Based on Matlab and FPGA" 13 May 2010.
  15. Bimal k. bose and Ronald "Design and performance evaluation of a fuzzy logic based variable speed wind generation syatem" vol of jun/jul on 97.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Mesh Network Fuzzy Logic AODV Access Point Constant Bit Rate Oblivious Routing