Flow-based Fast Handover method for Mobile IPv6 network

Sulander, Miska; Hämäläinen, Timo D.; Viinikainen, Ari; Puttonen, Jani

doi:10.1109/vetecs.2004.1391362

Cited by 20 publications

(21 citation statements)

References 14 publications

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“…Unfortunately it is still unsolved how to minimize the handover time between two logical subnets so that the outtime is as short as possible. [2].…”

Section: A Mobile Ipv6 Networkmentioning

confidence: 99%

“…In Flow based Fast Handover for MIPv6 (FFHMIPv6) [2], each traffic flow can be identified and redirected to a new location using the IPv6 Flow Label. It allows the reception of packets simultaneously with the BU registration process, thus minimizing the delay experienced in the handover.…”

Section: Related Workmentioning

confidence: 99%

“…In this technique, first the flow based fast handover (FFH) technique [2] is implemented. Then the loss-free buffering process [5] is applied to minimize the packet loss during handover process by enabling the temporary storage of the tunnel.…”

Section: A Overviewmentioning

confidence: 99%

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Enhanced Tunneling Technique for Flow-Based Fast Handover in Proxy Mobile Ipv6 Networks

Amgahd¹,

Yadav²

2016

ijarai

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Abstract-In the Mobile IPv6 network, each node is highly mobile and handoff is a very common process. When not processed efficiently, the handoff process may result in large amount of packet loss. If the handover process is performed without appropriate connection verification and through specified tunnels, then this may result in inappropriate traffic flow since the required traffic redirection may not happen in this case. To overcome these issues, we propose to develop an Enhanced Tunneling Technique for Flow-based Fast Handover in Proxy Mobile IPv6 Networks. In this technique, the packets are buffered to minimize the packet loss during handover and then the Flow based Fast Handover techique is employed to ensure that the traffic is redirected to the new subnet after handover process. Thus ensuring efficient network operation.

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“…Unfortunately it is still unsolved how to minimize the handover time between two logical subnets so that the outtime is as short as possible. [2].…”

Section: A Mobile Ipv6 Networkmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced Tunneling Technique for Flow-Based Fast Handover in Proxy Mobile Ipv6 Networks

Amgahd¹,

Yadav²

2016

ijarai

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“…(Flow-based Fast Handover Mobile IPv6) [6] , 경로 최 적화 기능이 추가된 NFFHMIPv6(New FFHMIPv6) [7] , QoS(Quality of Service)별 핸드오버 방식을 달리하는 MFAN(Mobile Flow-Aware Network) [8] …”

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Distributed Mobility Management Scheme for the Tactical Network

Kim

Sun

Kim

2014

The Journal of Korea Information and Communications Society

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In the conventional centralized mobility management schemes, it can lead to single points of failure, occurrence of a bottleneck, since all data and control are concentrated on the mobility anchor which is located in home network. In the current research of distributed mobility management, it is doing research into distributed mobility management which is supported by distributed mobility anchors. Such schemes do not consider a failure of the mobility anchor. However, it could be an issue under tactical environment since it occur non-service problem due to anchor movement, maintenance, failure, etc. In this paper, we proposed new DMM scheme named T-DMM(Tactical-Distributed Mobility Management) which can support handover even if mobility anchor breaks down. From the numerical analysis, we evaluate signaling cost and handover latency.※ 본 연구는 숭실대학교 지원으로 수행되었음.

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“…In flow-based fast handover for Mobile IPv6 [5] [4], when the MN attaches to a new subnet, it probes for the cross-over router -the first router common to the path from the HA to its old CoA and to the new CoA. This protocol has the requirement that, every router should maintain flow information (i.e., source, destination and flow label) of each traffic flow it sends, receives or routes.…”

Section: Introductionmentioning

confidence: 99%