A Connectiion Based Mobility Management Mechanism In Autonomic Networks

In recent years, with the fast development of artificial intelligence and communication technology, on the one hand, many international scientific organizations dedicated to the research of autonomic networks, who hoped to make network self-managed through designing a clean-slate autonomic network architecture.Autonomic networks could satisfy the diverse, personalized business needs from users, as well as lower the cost of network operation management and reduce manual intervention.On the other hand, in order to meet users' requirements of communication maintenance at any time at any place, we need not only the coexistence of multiple wireless access technologies, but also multi-homing terminals.All these have brought new challenges to mobility management, such as connection-granularity handover control, multi-criteria vertical handover decision making. The granularity of current mobility management mechanism is mainly terminal granularity or network interface granularity,which is not enough for future communication, so the connection based mobility management is a key problem to be addressed.This paper firstly summarized key functions of mobility management technology and basic theories of several typical mobility management protocols,whose advantages and disadvantages were analyzed and compared; then introduced the origin, technical principles and main research work of autonomic networks,along with the Generic Autonomic Network Architecture (GANA) that was put forward by EFIPSANS project of EU FP7.On this base, in order to address mobility management problems in future autonomic heterogeneous wireless access networks, this paper proposed a Connection Based Mobility Management mechanism (CBMM) under GANA, designed a FUNC_LEVEL_CM_DE and realized a Multi-Critera Handoff decision Making algorithm in Connection granularity (MCHMC) in the FUNC_LEVEL_CM_DE. MCHMC is able to choose the most appropriate communication connection(s) for each application running on mobile nodes, after analyzing many factors, including status of access networks, application requirements, users preference and capability of terminals.Finally, the performance of MCHMC was verified through several vertical handover scenarios in NS2 simulation.The results proved that MCHMC could not only select the best communication connections(s) for an application, but also make best use of the joint resources of heterogeneous networks.