Measuring link bandwidths using a deterministic model of packet delay
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
Mobile Cellular Telecommunications: Analog and Digital Systems
Mobile Cellular Telecommunications: Analog and Digital Systems
The predictive user mobility profile framework for wireless multimedia networks
IEEE/ACM Transactions on Networking (TON)
A route optimization scheme for mobile IP with IP header extension
Proceedings of the 2006 international conference on Wireless communications and mobile computing
QoS support in TLMM: three level mobility model for IP-Based networks
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
IDMP: an intradomain mobility management protocol for next-generation wireless networks
IEEE Wireless Communications
Evaluation and characterization of available bandwidth probing techniques
IEEE Journal on Selected Areas in Communications
Mobility support in IP: a survey of related protocols
IEEE Network: The Magazine of Global Internetworking
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This article describes a Three Level Mobility Model (TLMM) for next generation wireless IP-based networks. TLMM is modular and straightforward as it leverages existing protocols, such as Mobile IPv4 as global mobility management and TeleMIP for intradomain mobility management for locating roaming nodes. It uses three dynamically autoconfigured care-of-addresses (CoAs) for routing the packets destined to mobile nodes. A Gateway Mobility Agent at the boundary of two domains provides a global CoA and identifies a mobile node's attachment to the current domain. A regional CoA provides the specific area of the mobile node's attachment within the domain, while a local CoA changes every time the mobile changes subnets and identifies the mobile's attachment to the subnet level granularity. A dynamic handoff policy for supporting fast and seamless handoff reduces latency at a mobile node and minimizes packet loss. Simulation results using ns-2 supports our model. A detailed analytical framework for dynamic handoff has been presented in depth to estimate handoff initiation instance for reducing the probability of false handoffs.