CFP last date
16 December 2024
Call for Paper
January Edition
IJAIS solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 16 December 2024

Submit your paper
Know more
Reseach Article

Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm

by Monika Srivastava, S. P. Tripathi
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 5
Year of Publication: 2012
Authors: Monika Srivastava, S. P. Tripathi
10.5120/ijais12-450510

Monika Srivastava, S. P. Tripathi . Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm. International Journal of Applied Information Systems. 3, 5 ( July 2012), 12-55. DOI=10.5120/ijais12-450510

@article{ 10.5120/ijais12-450510,
author = { Monika Srivastava, S. P. Tripathi },
title = { Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm },
journal = { International Journal of Applied Information Systems },
issue_date = { July 2012 },
volume = { 3 },
number = { 5 },
month = { July },
year = { 2012 },
issn = { 2249-0868 },
pages = { 12-55 },
numpages = {9},
url = { https://www.ijais.org/archives/volume3/number5/226-0510/ },
doi = { 10.5120/ijais12-450510 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:45:09.867147+05:30
%A Monika Srivastava
%A S. P. Tripathi
%T Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 3
%N 5
%P 12-55
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The availability of mobile information systems is being driven by the increasing demand to have information available for users at any time. As the availability of wireless devices increases, so will the load on available radio frequency resources. The radio frequency spectrum is limited, thus there will be a need to effectively manage these resources.

References
  1. K. Feher, Wireless Digital Communications. McGraw- Hill, 1995.
  2. M. A. C. Gill and A. Y. Zomaya, Obstacle Avoidance in Multi-Robot Systems. World Scientific, 1998.
  3. A. Y. Zomaya and M. Wright, "Observation on Using Genetic Algorithms for Channel Allocation in Mobile Computing," IEEE Trans. Parallel and Distributed Systems, vol 13, no. 9, pp. 948-962, Sept. 2002.
  4. European Telecommunications and Standards Institute, ETSI TR 101 112 version 3. 2. 0, Universal Mobile Telecommunications System (UMTS) Selection procedures for the choice of radio trans-mission technologies for the UMTS, 1998.
  5. Steven W. Smith, The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Publishing, 1998.
  6. Zhang, M. and Yum, TS. P. , "Comparisons of Channel-Assignment Strategies in Cellular Mobile Telephone Systems", IEEE Transactions on Vehicular Technology, vol. 34, no. 4, November 1989.
  7. De Jong, K. A. , Spears, W. M. , & Gordon, F. D. (1993). Using genetic algorithms for concept learning. Machine Learning, 13, 161-188, 1993.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm Channel Allocation