Output details

Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility

<06> This paper proposed a stability-aware multi-metric clustering algorithm, which can (1) achieve stable cluster structure by exploiting group mobility and (2) optimise multiple clustering metrics by a multi-objective evolutionary algorithm. Performance evaluation shows that this algorithm generates more stable clusters and outperforms the well-known weighted clustering algorithm that uses a weighted sum of multiple metrics. The idea of exploiting group mobility to improve clustering has been applied to routing in cognitive radio networks. The idea of applying evolutionary algorithms to clustering has stimulated the other clustering methods using different artificial intelligence techniques.