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WACA: A New Weighted Adaptive Clustering Algorithm for MANET

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Recent Trends in Networks and Communications (WeST 2010, VLSI 2010, NeCoM 2010, ASUC 2010, WiMoN 2010)

Abstract

This paper aims towards a critical retrospection of some of the most bugging limitations of cluster formation and cluster head selection. Based on this, a new Weighted Adaptive Clustering Algorithm (WACA) has been proposed. The proposed methodology is aimed at reducing the transmission overhead, total required time and increasing the stability of the formed cluster. WACA can dynamically adapt itself to the frequently changing topology of ad-hoc network.

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Nath, I., Chaki, R., Chaki, N. (2010). WACA: A New Weighted Adaptive Clustering Algorithm for MANET. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Networks and Communications. WeST VLSI NeCoM ASUC WiMoN 2010 2010 2010 2010 2010. Communications in Computer and Information Science, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14493-6_29

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  • DOI: https://doi.org/10.1007/978-3-642-14493-6_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14492-9

  • Online ISBN: 978-3-642-14493-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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