An Improved Clustering Algorithm for Wireless Sensor Networks

Abstract:

An on-demand weighed clustering algorithm is proposed against the limitation of wireless sensor network nodes with limited energy. This algorithm obtains more local network information by means of information interaction between nodes, and by comprehensively considering such factors as the current energy value, degree and transmission power, etc. of nodes, it makes different clustering decisions as per different application backgrounds of networks. Simulation results show that this algorithm has a more rational clustering by reducing energy consumption and lengthening network lifetime, compared to Low Energy Adaptive Clustering Hierarchy, a representative clustering algorithm.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 2654-2657
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.2654
• Online since: May 2014
• Authors: Xi Yi Zhou*, Li Qiang Liu, Ge Zhang
• Keywords: Clustering Algorithm, On-Demand Weighted, Wireless Sensor Network (WSN)

References

[1] S. Haseeb, A.F. Ismal: Computer Communications, Vol. 4 (2007) No. 30, p.849.

[2] J. Chen, X.H. Zhang: Computer Communications, Vol. 18 (2007) No. 30, p.3870.

[3] K. Lee, Y. Lim and S. Ahn: Computational Science and Its Applications (Berlin, Germany, May 8-10, 2006). Vol. 2, p.410.

[4] X.Y. Wu and G. Nie: Asia-Pacific Conference on Information Processing (Shanghai, China, April 12-14, 2009). Vol. 1, p.497.

[5] S.L. Wang and Y. Cui: Proceedings of 33th IEEE Conference on Local Computer Networks (Tampa, FL, USA, November 16-18, 2008). Vol. 5, p.403.

[6] Information on http: /www. isi. edu /nsnam.