An end-to-end approach to host mobility
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
TCP-R: TCP mobility support for continuous operation
ICNP '97 Proceedings of the 1997 International Conference on Network Protocols (ICNP '97)
An end-to-end approach for transparent mobility across heterogeneous wireless networks
Mobile Networks and Applications
Mobility management of transport protocol supporting multiple connections
Proceedings of the second international workshop on Mobility management & wireless access protocols
VA-TCP: a vertical handoff-aware TCP
Proceedings of the 2007 ACM symposium on Applied computing
Performance Analysis of Handoff Techniques Based on Mobile IP, TCP-Migrate, and SIP
IEEE Transactions on Mobile Computing
Vertical handover management scheme using multiple TCP connections for heterogeneous networks
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Media-independent handover for seamless service provision in heterogeneous networks
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
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Whenever a mobile node moves across different networks, service disruption occurs thus making mobility management a key issue. In order to ensure the continuity of TCP session between communicating nodes, a number of protocols have been proposed so far. These protocols may be classified into two main categories: end-to-end and network-centric. As end-to-end mobility management protocols do not require additional entities in the network and no additional deployment cost is involved, that makes deployment of these protocols network operator independent. Due to these reasons end-to-end mobility management protocols are gaining popularity. However, performance evaluation of these end-to-end protocols on the basis of service disruption time has not been discussed so far. This paper analyzes these protocols on the basis of service disruption time using mathematical modeling techniques of performance evaluation. Results show that service disruption time of protocols that allow simultaneous communication through multiple interfaces is always smaller than the protocols that do not allow simultaneous communication.