Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10189
Title: Stability-based multi-objective clustering in mobile ad hoc networks
Authors: Cheng, H
Cao, J 
Wang, X
Das, SK
Keywords: Ad hoc networks
Clustering
Group mobility
Multi-objective evolutionary optimization
Issue Date: 2006
Source: ACM International Conference Proceeding Series, 2006, v. 191, 1185408 How to cite?
Abstract: In this paper, we propose a stability-based multi-objective clustering algorithm, which can achieve stable cluster structure by exploiting the node movement proximity, and meanwhile optimize multiple clustering metrics simultaneously by a reputable multi-objective evolutionary algorithm (MOEA). The performance of the proposed algorithm has been evaluated through extensive simulations with network topologies of various sizes. The results demonstrated that the clustered topologies generated by our algorithm have good performance in terms of stability. Our algorithm can achieve optimal cluster structure with respect to each clustering metric on small-scale network topology. For large-scale network topology, it also outperforms WCA, a well known multi-objective clustering algorithm using a weighted sum of multiple metrics.
Description: 3rd International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Waterloo, ON, 7 August-8 September 2006
URI: http://hdl.handle.net/10397/10189
ISBN: 1595935371
9781595935373
DOI: 10.1145/1185373.1185408
Appears in Collections:Conference Paper

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