Abstract: A method and application for selecting a network from one or more candidate networks is disclosed. Information is gathered from one or more database relating to each of the one or more candidate networks and is harmonized in relation to an associated network type. The harmonized information is evaluated to allocate a weight to each of the candidate networks. The weight represents the desirability of each of the candidate networks. The required resources to connect to each of the candidate networks are determined from information contained within the service-provider database, from information obtained by the end-user, and by self-adaptive learning algorithms. At least one of the candidate networks is selected based on the allocated weight of the candidate network and the application attempts to connect to the candidate network. The method and application incorporates the ability to control and integrate a plurality of services on a user device via the candidate network.

Abstract: A method and application for selecting a network from one or more candidate networks is disclosed. Information is gathered from one or more database relating to each of the one or more candidate networks and is harmonized in relation to an associated network type. The harmonized information is evaluated to allocate a weight to each of the candidate networks. The weight represents the desirability of each of the candidate networks. The required resources to connect to each of the candidate networks are determined from information contained within the service-provider database, from information obtained by the end-user, and by self-adaptive learning algorithms. At least one of the candidate networks is selected based on the allocated weight of the candidate network and the application attempts to connect to the candidate network. The method and application incorporates the ability to control and integrate a plurality of services on a user device via the candidate network.