IEEE Transactions on Wireless Communications · 2008 · 304 citations · 18 references
Mobile Data OffloadingMobile IpEngineeringInternet ProtocolEdge ComputingMobility ModelingAnalytical FrameworkMobility ManagementMobile ComputingInternet Of ThingsPerformance MetricsMobility Protocol
Mobility management with seamless handover is essential for global roaming in next‑generation wireless networks, and while Mobile IPv6 and its extensions provide IP‑layer mobility, their performance depends heavily on traffic characteristics, user mobility models, and is typically evaluated via simulation. This study proposes an analytical framework to evaluate IPv6‑based mobility management protocols, aiming to assess how traffic characteristics and user mobility models influence performance rather than to recommend a superior protocol. The framework models system parameters—including subnet residence time, packet arrival rate, and wireless link delay—to evaluate performance metrics such as signaling overhead, handoff latency, and packet loss. Numerical results reveal a trade‑off between performance metrics and network parameters.
Mobility management with provision of seamless handover is crucial for an efficient support of global roaming of mobile nodes (MNs) in next-generation wireless networks (NGWN). Mobile IPv6 (MIPv6) and its extensions were proposed by IETF for IP layer mobility management. However, performance of IPv6-based mobility management schemes is highly dependent on traffic characteristics and user mobility models. Consequently, it is important to assess this performance in-depth through those two factors. The performance of IPv6-based mobility management schemes is usually evaluated through simulations. This paper proposes an analytical framework to evaluate the performance of IPv6-based mobility management protocols. This proposal does not aim to advocate which is better but rather to study the effects of various network parameters on the performance of these protocols to enlighten decision-making. The effect of system parameters, such as subnet residence time, packet arrival rate and wireless link delay, is investigated for performance evaluation with respect to various metrics like signaling overhead cost, handoff latency and packet loss. Numerical results show that there is a trade-off between performance metrics and network parameters.
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Charles E. Perkins, David B. Johnson · 1996 · 3.3K citations
Hierarchical mobile IPv6 mobility management
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Xavier Costa‐Pérez, Marc Torrent‐Moreno, Hannes Hartenstein · ACM SIGMOBILE Mobile Computing and Communications Review · 2003 · 146 citations