It is expected that students enrolled in this course have knowledge of packet-switched communications networks, TCP/IP protocol stack, as well as basic statistics and simulation.

This course strengthens the acquisition of the basic competence CB6 and the specific competences CE1, CE2, CE3 and CE5. The course enables the acquisition of the following speciality competences: - CS 2.1 The ability to analyse telematic networks, specifically robustness and reliability of networks based on the degree of connectivity - CS 2.3 The ability to understand advanced topics in wireless communications, in particular those related with performance, connectivity, and location - CS 2.9: Understand the impact of the user's mobility, the attachment point discovery and selection, and the strategies of terminal handoff, with a particular emphasis on its performance and optimization. Students are expected to learn about the following: - Knowledge and understanding of the users¿ and devices¿ mobility in a packet switched communications network. - Knowledge of the state-of-the-art of the main approaches proposed to tackle the mobility problem, as well as of the basic tools required to face the design of a new solution (i.e., mobility models, performance assessment).

The course covers the following topics: - The problem of mobility in communication networks, cellular networks, network selection and heterogeneous networks. - Survey of the classical IP mobility solutions as well as the new trends: flow mobility and distributed mobility management. - Vehicular networks. - Identity and location: geographic routing. - DTN networks: opportunistic routing. - Mobile ad hoc networks. - Lab on IP mobility, using real software implementing Mobile IPv6 and Proxy Mobile IPv6 These topics are organized in 4 parts: Part I: Introduction to mobility Part II: Advanced IP mobility Part III: Mobility and routing Part IV: Performance evaluation

The activities followed during the course are: - Lectures (online). Presentation of a summary of the main concepts. Discussion of the different topics acquired by the students during the self-learning phase, and resolution of the questions posed by the students. - Case studies (online): classes in which students must analyse and solve case studies with the supervision of the professor. - Labs, using remote access to laboratory infrastructure