A New Clustering Algorithm and Related Quantitative Descriptions in Ad Hoc Networks

Guo Zhao Hou; Guo Qin; Ya Li Qin

doi:10.4028/www.scientific.net/AMR.926-930.3590

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930A New Clustering Algorithm and Related...

A New Clustering Algorithm and Related Quantitative Descriptions in Ad Hoc Networks

Abstract:

Cluster stability includes intra-cluster and inter-cluster stability. They will make important influence on clustering performance. So they should be paid attention at the same time. MSWCA only considers on intra-cluster stability, but neglects inter-cluster stability, which is bound to affect the clustering performance. Aiming at the above problem, NCA (New Clustering Algorithm) was proposed in this paper. NCA considers on intra-cluster and inter-cluster stability, which can improve cluster stability and reduce clustering overheads.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3590-3593

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3590

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Online since:

May 2014

Authors:

Guo Zhao Hou*, Guo Qin, Ya Li Qin

Keywords:

Ad Hoc Network, Clustering Algorithm, Stability

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* - Corresponding Author

References

[1] P. Basu,N. Khan T.D.C. Little. A mobility based metric for clustering in mobile ad hoc networks: 2001 International Conference on Distributed Computing Systems Workshop, 2001. 2001: 413-418.

DOI: 10.1109/cdcs.2001.918738

Google Scholar

[2] J.A. Torkestani, M.R. Meybodi. A mobility-based cluster formation algorithm for wireless mobile ad-hoc networks. Computer Science, 2011, 14(4): 311-324.

DOI: 10.1007/s10586-011-0161-z

Google Scholar

[3] Z.D. Zhong, D.M. Zhao. MPBC: a mobility prediction-based clustering scheme for ad hoc networks. IEEE Transactions on Vehicular Technology, 2011, 60(9): 4549-4559.

DOI: 10.1109/tvt.2011.2172473

Google Scholar

[4] A.R. Hussein, S. Yousef, S. Al-Khayatt, et al. An efficient weighted distributed clustering algorithm for mobile ad hoc networks: 2010 International Conference on Computer Engineering and Systems (ICCES), 2010. 2010: 221-228.

DOI: 10.1109/icces.2010.5674857

Google Scholar

[5] W. Choi, M. Woo. A distributed weighted clustering algorithm for mobile ad hoc networks: Advanced International Conference on Telecommunications-International Conference on Internet and Web Applications and Services, 2006. 2006: 73.

DOI: 10.1109/aict-iciw.2006.11

Google Scholar

[6] Y.C. Hwang, Y.S. Jeong, S.H. Lee, et al. Advanced efficiency and stability combined weight based distributed clustering algorithm in MANET. Future Generation Communication and Networking, 2007: 478-483.

DOI: 10.1109/fgcn.2007.51

Google Scholar

[7] H. Weihong, L. Renfa, P. Xianwu. Clustering algorithms for wireless self-organized networks based on mobile holding time. Micro-computer Information, 2007, 23(9): 95-96, 119. (In Chinese).

Google Scholar

[8] Y. Tao, J. Wang, Y.L. Wang, et al. An enhanced maximum stability weighted clustering algorithm in ad hoc network: 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. 2008: 1-4.

DOI: 10.1109/wicom.2008.600

Google Scholar

[9] J. Yi, S. Haoshan. An adaptive clustering algorithm based on mobility prediction in ad hoc networks. Computer Science, 2007, 34(3): 28-29. (In Chinese).

Google Scholar