Effective management through prediction-based clustering approach in the next-generation ad hoc networks

Abstract

A framework for a proactive network management with the eventual aim to support quality of service (QoS) provisioning in ad hoc networks is proposed in this paper. This process is facilitated through our novel hierarchical clustering approach. This clustering approach is dynamic and distributed, and enables each mobile node (MN) to anticipate the availability of its neighbors through a scalable intelligent mobility prediction algorithm. With the formation of stable clusters, our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting policy-based management technique with mobile agent concepts. Initial results demonstrate the stability improvement of our approach.