The Mobile IPv6 protocol (MIPv6) allows a single Mobile Node (MN) to keep the same IPv6 address independently of its network of attachment. Network Mobility protocol (NEMO) is an extension of MIPv6. NEMO is concerned with managing the mobility of an entire network, so it's used for devices or vehicles which move to another point of attachment to the Internet. Proxy Mobile IPv6 (PMIPv6) has been developed for local mobility management whereas MIPv6 and NEMO address global mobility for both hosts and routers. This paper proposes a distributed mobility solution based on NEMO for heterogeneous mobile IP networks, so called Host-based and Network-based Distributed Mobility Management for NEMO (HND-NEMO), where different types of IP mobility management are operating. Our solution utilizes both network-based and host-based mechanisms. Multiple Home Agents (HAs) are deployed, and the mobility anchors are closer to the edge of the network in order to provide optimal routing and lower delays. We show that our solution provides smooth mobility in global domains, local domains, and no mobility service domains, in terms of handover latency, signaling and packet delivery costs, and end to end delay.

Personal e-healthcare service is growing significantly. A large number of personal e-health measuring and monitoring devices are now in the market. However, to achieve better health outcome, various devices or services need to work together. This coordination among services remains challenge, due to their variations and complexities. To address this issue, we have proposed an ontology-based framework for interactive self-assessment of RESTful e-health services. Unlike existing e-health service frameworks where they had tightly coupling between services, as well as their data schemas were difficult to change and extend in the future. In our work, the loosely coupling among services and flexibility of each service are achieved through the design and implementation based on HYDRA vocabulary and REST principles. We have implemented clinical knowledge through the combination of OWL-DL and SPARQL rules. All of these services evolve independently; their interfaces are based on REST principles, especially HATEOAS constraints. We have demonstrated how to apply our framework for interactive self-assessment in e-health applications. We have shown that it allows the medical knowledge to drive the system workflow according to the event-driven principles. New data schema can be maintained during run-time. This is the essential feature to support arriving of IoT (Internet of Things) based medical devices, which have their own data schema and evolve overtime.