Abstract: For example, a method includes collecting orientation data from a mobile device as a user of the mobile device moves within an indoor space, generating orientation estimates for the mobile device from the orientation data, generating distance estimates representing distances of the mobile device to a wireless access point in the indoor space, storing the orientation estimates and the distance estimates together as a series of data blocks, constructing a plurality of trajectory segments from the orientation estimates, identifying identifiers for a last number of trajectory segments, using data blocks corresponding to the last number of trajectory segments, and identifying a predicted place within the indoor space to which the user is expected to go by using the identifiers to traverse a prediction tree, where branches of the prediction tree that are associated with the identifiers define a path that ends at a leaf node corresponding to the predicted place.

Abstract: An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a request from a node to join a trusted ad hoc network. The set of instructions is further operable to authenticate the node to join the trusted ad hoc network. The authentication is performed based on a verification that the node will comply with a security policy of the trusted ad hoc network. The set of instructions is further operable to send, to the node, a verification that the trusted ad hoc network complies with the security policy. The set of instructions is further operable to add the node to the trusted ad hoc network.

Abstract: A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a request from a node to join a trusted ad hoc network. The set of instructions is further operable to authenticate the node to join the trusted ad hoc network. The authentication is performed based on a verification that the node will comply with a security policy of the trusted ad hoc network. The set of instructions is further operable to send, to the node, a verification that the trusted ad hoc network complies with the security policy. The set of instructions is further operable to add the node to the trusted ad hoc network.