Mobility mechanisms are key elements of “always connected” smart environments. Since the first mobile IPv4 protocols, the IP mobility solutions have evolved from host mobility to network mobility and migration to IPv6, but there are still use-cases to be covered, especially for redundant multihomed scenarios. Also mobility does not refer only to hosts or individuals, but also to code/applications and to virtual machines. LISP (Locator/Identifier Separation Protocol) can contribute to new solutions for both host mobility and virtual machine mobility (e.g., inside enterprise data centers) by the separation of the identifier and location of a network endpoint. The aim of this paper is to propose a LISP based multihome and load-balanced network architecture for urban environments. Validation is done in an emulated environment for the case of an enterprise with distributed locations, but, furthermore, we extrapolate to other mobile urban scenarios, like the case of providing reliable load-balanced and secured Internet in Public Transportation Systems, with a proposal for an open-source implementation.

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Mobility, redundancy, and bandwidth requirements are transforming the communication models used for IoT, mainly in case of Critical Communications and multimedia streaming ("IoMT, Internet of Multimedia Things"), as wireless video traffic is expected to be 60-75% of the global mobile traffic by 2020. One of the characteristics of 5G networks will be the proliferation of different/heterogeneous radio networks (virtualized radio access networks, RAN, new energy-efficient radios, femtocells, and offloading capabilities) and the possibility for IoT objects to connect and load-balance between dual and multiple RANs. This paper focuses on the possibility of using LISP (Locator Identifier Separation Protocol) for multihoming and load-balancing purposes and presents an illustrative scenario for the case of mobile IoT (e.g., the "things" part of vehicular or public transportation systems, PTS) that are also intensive bandwidth consumers, like the case of connected multimedia "things." We have implemented and tested a demonstrator of a mobile LISP IoT gateway that is also integrated with Cloud-based video analytics.

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