Optimization of Fuzzy Cluster Nodes in Cellular Multimedia Networks
Commenced in January 2007
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Optimization of Fuzzy Cluster Nodes in Cellular Multimedia Networks

Authors: J. D. Mallapur, Supriya H., Santosh B. K., Tej H.

Abstract:

The cellular network is one of the emerging areas of communication, in which the mobile nodes act as member for one base station. The cluster based communication is now an emerging area of wireless cellular multimedia networks. The cluster renders fast communication and also a convenient way to work with connectivity. In our scheme we have proposed an optimization technique for the fuzzy cluster nodes, by categorizing the group members into three categories like long refreshable member, medium refreshable member and short refreshable member. By considering long refreshable nodes as static nodes, we compute the new membership values for the other nodes in the cluster. We compare their previous and present membership value with the threshold value to categorize them into three different members. By which, we optimize the nodes in the fuzzy clusters. The simulation results show that there is reduction in the cluster computational time and iterational time after optimization.

Keywords: Clusters, fuzzy and optimization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078432

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[1] Zhehui Liang,Pingjian zhang,Juanjuanzhao."Optimization of the number of clusters in fuzzy clustering", International conference on computer design and application ,Volume: 03, page 580-584, 25-27 June 2010.
[2] Sanchez, G,Jimenez, F." Fuzzy Optimization with Multi-Objective Evolutionary Algorithms", Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on ,Volume: 03, page 58 - 64 , 1-5 April 2007.
[3] Xia X, Liang, Q." Bottom-up cross-layer optimization for mobile ad hoc networks", Military Communications Conference,MILCOM 2005. IEEE, Vol. 4 page 2624 - 2630 , 17-20 Oct. 2005.
[4] M kargar,F Fartash,T saderi."A theory in optimization of adhoc routing algorithms", World academy of science, enginerring and technology issue 24. page 260-265, 2008.
[5] Mohanad Alata,Mohammad Molhim,and Abdullah Ramini."Optimizing of fuzzy C means clustering algorithm using GA", World academy of science,enginerring and technology 39, 2008.
[6] Tao Zhao,Xin Wang."Multi objective fuzzy optimization method", World academy of science,enginerring and technology 69, 2010.
[7] Jia Fu TANG,Ding Wei WANG,Richard Y K FUNG,Kai Leung Yung." Understanding of fuzzy optimization:theories and methods", Journal of Systems Science and Complexity,Volume: 17, page 117-136 , 2004.
[8] Moraga C." A new aspect for the optimization of fuzzy if then rules", Multiple-Valued Logic, 2005. Proceedings. 35th International Symposium, page 160 - 165 , 19-21 May 2005.
[9] Tarique Haide and Mariam Yusuf."A fuzzy approach to energy optimized routing for wireless sensor network", International Arab Journal of information Technology,, Volume: 06, Issue: 2, April 2009.
[10] M anupama and Dr Bachala Sathyanarayana."Survey of cluster based routing protocols in mobile adhoc networks", International Journal of computer theory and engineering, Volume: 03, Issue: 6, December 2011.
[11] Kumar.V."Ant Colony Optimization using Hierarchical; Clustering in mobile adhoc networks",, European Journal of scientific research, Eurojournals Tamilnadu,India. 2011.
[12] S. Nascimento, B. Mirkin."A fuzzy clustering model of data and fuzzy c means", Journal of Classification, Volume: 05, Issue: 2, 1988.
[13] T. J. Ross, Fuzzy Logic with Engg. Applications, Mc Hill, 1997.