Performance analysis for fmipv6 considering probability of predictive mode failure

Abstract

Mobile IPv6 (MIPv6) is a protocol to support mobility for IPv6. Fast Handovers for MIPv6 (FMIPv6) have been studied, since in MIPv6 handover latency is long, and all packets are lost during handover. FMIPv6 provides seamless handover by minimizing handover latency, and prevents packet loss through buffering and tunneling. FMIPv6 uses anticipation based on layer 2 trigger information, and consists of two modes such as predictive mode and reactive mode. Several works have been done to evaluate the performance of FMIPv6 in different network environments. However, the previous works did not consider probability of predictive mode failure that classifies the two modes. Also, in the most previous works the two modes of FMIPv6 are evaluated separately. In this paper, FMIPv6 combining the two modes is analyzed through probability of predictive mode failure, since FMIPv6 is just a protocol. We investigate probability of predictive mode failure to find important elements in network environment. Then, FMIPv6 is analyzed by these elements for performance evaluation with respect to various metrics like signaling cost, delivery cost, and buffering cost. Numerical results show a trade-off between performance and system parameters. Then, we shows methods to optimize FMIPv6 using probability of predictive mode failure and layer 2 trigger time.