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Mobility is one of the most important issues in the next generation of wireless sensor networks. In the future Internet oriented to Internet-of-things and awareness context solutions is essential to support mobility and global addressing. Furthermore, in medical environments it is crucial to support fault tolerance, since human life depends on these systems. This paper presents an architecture to support medical sensor networks based on 6LoWPAN, where we have defined a protocol to carry out inter-WSN mobility. This protocol shows how we exploit the other elements of the architecture (sink nodes and gateways) with high capacity and resources, hence mobile nodes decrease the number of interchanged messages it needs with regard to other solutions for mobility like MIPv6. Moreover, Mobility is one of the most important issues in the next generation of Wireless Sensor Networks. In the future internet oriented to internet-of-things and awareness context solutions is essential to support mobility and global addressing. Furthermore, in medical environments it is crucial to support fault tolerance, since human life depends on these systems. This paper presents an architecture to support medical sensor networks based on 6LoWPAN, where we have defined a protocol to carry out inter-WSN mobility. This protocol shows how we exploit the other elements of the architecture (sink nodes and gateways) with high capacity and resources, hence mobile nodes decrease the number of interchanged messages it needs with regard to other solutions for mobility like MIPv6. Moreover, from this mobility protocol we can support fault tolerance too, considering that a node fails it is a special case of mobility. All this with a suitable security support, therefore we can assure the protection of the patientpsilas information.from this mobility protocol we can support fault tolerance too, considering that a node fails it is a special case of mobility. All this with a suitable security support, therefore we can assure the protection of the patientpsilas information.
Jara et al. (Thu,) studied this question.