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Title: Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility
Authors: Cheng, H
Cao, J
Wang, X
Das, S
Yang, S
Keywords: Mobile ad hoc networks;Clustering;Stability;Multi-objective optimization
Issue Date: 2009
Publisher: John Wiley & Sons
Citation: Wireless Communications and Mobile Computing, 9(6): 759 - 771, Jun 2009
Abstract: Clustering can help aggregate the topology information and reduce the size of routing tables in a mobile ad hoc network (MANET). The maintenance of the cluster structure should be as stable as possible to reduce overhead and make the network topology less dynamic. Hence, stability measures the goodness of clustering. However, for a complex system like MANET, one clustering metric is far from reflecting the network dynamics. Some prior works have considered multiple metrics by combining them into one weighted sum, which suffers from intrinsic drawbacks as a scalar objective function to provide solution for multi-objective optimization. In this paper, we propose a stability-aware multi-metric clustering algorithm, which can (1) achieve stable cluster structure by exploiting group mobility and (2) optimize multiple metrics with the help of a multi-objective evolutionary algorithm (MOEA). Performance evaluation shows that our algorithm can generate a stable clustered topology and also achieve optimal solutions in small-scale networks. For large-scale networks, it outperforms the well-known weighted clustering algorithm (WCA) that uses a weighted sum of multiple metrics.
Description: This article can be obtained from the link below - Copyright @ 2008 John Wiley & Sons, Ltd.
ISSN: 1530-8669
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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