Mobility management in WLAN-based virtualized networks

Kunho Hong, Su Kyoung Lee, Myung Ki Shin

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Traditional network architectures are about to reach the limits of sustainable development for future service innovation and growth. To overcome the limitation of current architectures and efficiently redesign the future network architecture, a newtechnology called "network virtualization" is under development. In particular, wireless network virtualization is expected to become an emerging architectural choice to support concurrent heterogeneous services with finer controls over quality of service (QoS) features on the shared wireless network. We note that mobility management has a great influence on user-perceived QoS due to the service disruption during a handover process, and one of the main advantages of wireless network virtualization is to allow for finer-grained control of mobility policy. Although there have been several studies on wireless network virtualization, they focus on virtualizing the radio resources and the network devices. Therefore, in this paper, we propose a detailed protocol to support seamless mobility using the virtualization approach in the IEEE 802.11 wireless networks.We analyze the performance of the proposed mobility management scheme in terms of the handover latency and the signaling overhead.Analytical and simulation results demonstrate that the proposed scheme can significantly reduce handover latency with reasonable signaling cost compared to proxy mobile IP (PMIP) and fast handover for PMIP (FPMIP) in the traditional network.

Original languageEnglish
Pages (from-to)581-596
Number of pages16
JournalWireless Personal Communications
Issue number1
Publication statusPublished - 2013 Sept

Bibliographical note

Funding Information:
Acknowledgments This research was supported by the ICT Standardization program of KCC (Korea Communications Commission).

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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