A key aspect of the identifier/locator separation is to design an identifier-to-locator mapping service to map identifiers onto locators.
When identifiers are separated from locators, a critical challenge is how to design an identifier-to-locator mapping service to map identifiers onto locators.
As it was mentioned, the authors try to design an ensemble identifier with acceptable rate of generalization, robustness and accuracy.
Since only output measurements are assumed to be available, a sliding mode-based observer of an underlying SISO LTDS with uncertain parameters is constructed and utilized to design an adaptive identifier of system parameters.
We show that global asymptotic consensus tracking can still be enabled under the new derived sufficient conditions by designing a new identifier, which utilizes the estimated information exchanged from neighboring agents, and constructing a new Lyapunov function.
The idea of the multi-model control is to design a set of identifiers combined with controllers.
In particular, our research results show that, by setting a set of identifier-to-locator mapping service providers (MSPs) and letting the users of identifiers choose their preferred/trusted MSPs, we can design an elegant mapping service to map identifiers onto locators.
The design eliminates the consistent hashing phase by directly assigning an identifier to each node joining the system based on the pre-constructed geometry of the overlay.
One control law uses an identifier, while the other is based on swapping design.
Moon and Lee recently designed an authentication protocol for an ad hoc network using an identifier [Mathematical and Computer Modelling].
For the identifier design, a novel one-class kernel classifier called fuzzy support vector data description (F-SVDD) ensemble is proposed.
