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Clustering Overhead and Convergence Time Analysis of the Mobility-based Multi-Hop Clustering Algorithm for Mobile Ad Hoc Networks

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2 Author(s)
Seah, W.K.G. ; Dept. of Comput. Sci., Nat. Univ. of Singapore ; Seah, W.K.G.

With the emergence of large mobile ad hoc networks, the ability of existing routing protocols to scale well and function satisfactorily comes into question. Clustering has been proposed as a means to divide large networks into groups of suitably smaller sizes such that prevailing MANET routing protocols can be applied. However, the benefits of clustering come at a cost. Clusters take time to form and the clustering algorithms also introduce additional control messages that contend with data traffic for the wireless bandwidth. In this paper, we aim to analyze a distributed multi-hop clustering algorithm, mobility-based D-hop (MobDHop), based on two key clustering performance metrics and compare it with other popular clustering algorithms used in MANETs. We show that the overhead incurred by multi-hop clustering has a similar asymptotic bound as 1-hop clustering while being able to reap the benefits of multi-hop clusters

Published in:

Parallel and Distributed Systems, 2005. Proceedings. 11th International Conference on  (Volume:2 )

Date of Conference:

22-22 July 2005