Qualcomm Incorporated

Qualcomm Innovation Center, Inc.

Qualcomm Connected Experiences, Inc.

Koninklijke Philips Corporation N.v.

Philips Healthcare Informatics, Inc.

Ashutosh Aggarwal

Mohammed Ataur Rahman Shuman

Binita Gupta

Amit Goel

Sandeep Sharma

Beth Ann Brewer

Hamsini Bhaskaran

Isaac David Guedalia

Phil Tien Nguyen

Arvind Vardarajan Santhanam

Soumya Das

Bongyong Song

Marcello Vincenzo Lioy

Mark Maggenti

Harleen Kaur Gill

Ravinder Paul Chandhok

Robert Ganton

Jacob Guedalia

Clifton Eugene Scott

Daphna Zeilingold

Sarah Glickfield

Mark Boyns

Michael P Mahan

Matthew Daniel Smith

John Earl Amschler

Doron Zehavi

Vijaykrishna Sadagopan

Mandyam Vikram

Eyal David Ilsar

Aaron Michael Pulliam

Sandip Bharati

Sunil Tiwari

Nitin Khanna

Avind V Santhanam

Example systems, methods, computer-readable media, and apparatuses for dynamic provisioning of wireless devices with health gateways are disclosed. One example method includes detecting, by a wireless device, a signal from a health gateway, the signal including connection information and service information; determining whether the health gateway is a suitable based on the connection information and the service information; and in response to determining that the health gateway is suitable, establishing a communications connection with the health gateway.

Dynamic provisioning of wireless devices with health gateways

Methods and apparatuses for optimizing performance using data from an Internet of Things (IoT) device with analytics engines. The method receives, from a requesting Internet of Things (IoT) device, a request for trend data of physical resource consumption based at least in part on a portion of received data from at least one of a plurality of IoT devices. The method retrieves, from memory of an analytics engine, at least the portion of the received data. The method calculates, in a calculator of the analytics engine, the trend data based on at least the portion of the received data. The method transmits, to the requesting IoT device, the calculated trend data, wherein the requesting IoT device adjusts parameters in an IoT device using the calculated trend data.

Analytics engines for IoT devices

Techniques described herein enable store-and-forward systems to hold data at source node (e.g., service platform) until they can be provided to the destination node e.g., user device). In other words, data can be buffered at the source node until the destination node is 'online,' and the establishment of a connection between the destination node and the intermediate node can trigger the retrieval of this data from the source node by the intermediate node. Additional techniques may be implemented to ensure the data connection between the intermediate node in the destination node does not expire while data is being communicated from the source node to the intermediate node.

In-order message delivery in a distributed store-and-forward system

The disclosure relates to mechanisms that may be used to route notifications in an Internet of Things (IoT) environment according to user activity and/or proximity detection. More particularly, in various embodiments, an entity that manages the IoT environment may receive one or more messages, actions, or responses that indicate detected activity or detected proximity associated with one or more users from one or more IoT devices in the IoT environment. The management entity may then establish an activity and proximity trail from the one or more messages, actions, or responses that indicate the detected activity or the detected proximity, whereby in response to an IoT device reporting one or more notifications, an IoT device in proximity to at least one of the one or more users may be identified and the one or more notifications may be routed to the identified IoT device.

Mechanisms to route IoT notifications according to user activity and/or proximity detection

A system and method for discovering services in an Internet of Things (IoT) environment are disclosed. The method may include providing service-feature information from a consumer app to a query service that is indicative of a service provided by a remotely located provider app and incorporating the service-feature information into resource records of an additional information section of a multicast domain name service (mDNS) message. The message is multicasted to other IoT devices, and a response message is received from at least one provider device. The additional information section of the response message is then analyzed to determine whether a service provided by the at least one provider device meets criteria defined by the service-feature information.

Enhanced DNS-based service discovery in an internet of things (IoT) environment

The disclosure generally relates to enabling communication among one or more Internet of Things (IoT) device groups. In particular, various heterogeneous IoT devices that may need to interact with one another in different ways may be organized into IoT device groups to support efficient interaction among the IoT devices. For example, pre-defined IoT device groups may be formed organize certain IoT devices that perform similar activities and certain IoT devices may be dynamically allocated to ad-hoc IoT device groups for certain contexts (e.g., the ad-hoc IoT device groups may include IoT devices that can implement a desired function and therefore be dynamically formed to implement the desired function). Furthermore, the IoT groups may communicate hierarchically, wherein messages may be exchanged among IoT group owners or ranking members to support efficient communication between different IoT groups.

Establishing groups of internet of things (IOT) devices and enabling communication among the groups of IOT devices

The disclosure generally relates to Internet of Things (IoT) device social networking, and in particular to an IoT device publish-subscribe messaging model and automatic IoT device social network expansion. For example, IoT devices from different networks may publish status data that relates to certain topics, wherein the published status updates may be managed in a distributed manner at each IoT network. Furthermore, IoT devices interested in published data can subscribe to data relating to certain topics, which may be used to dynamically adjust actions that the subscribing IoT devices may take. Furthermore, IoT devices can employ common social networking capabilities (e.g., refer, follow, like, publish, subscribe, etc.) to interact with other IoT devices and find relevant information from other IoT devices that can be used to improve performance and effectiveness.

Automatic IoT device social network expansion

A call request message is sent from an access terminal to an application server in order to request initiation of a group communication session to a communication group and to request that an allocation of the floor to the given access terminal for the duration of the given group communication session remain uninterrupted by call targets of the session. The application server announces the session, and sends a floor-grant to the access terminal after the session is accepted by at least one target. The access terminal forwards media to the application server which is then forwarded to the at least one target. The floor is not transferred away from the access terminal during the session. For example, floor requests are suppressed at the at least one target, or floor requests are sent by the at least one target but are then ignored or denied by the application server.

Uninterruptable group communication sessions within a wireless communications system

The disclosure is related to determining an association among Internet of Things (IoT) devices. A first IoT device receives an identifier of a second IoT device, obtains a schema of the second IoT device based on the identifier of the second IoT device, and determines whether or not there is an association between the first IoT device and the second IoT device based on a schema of the first IoT device and the schema of the second IoT device, where the schema of the first IoT device comprises schema elements and corresponding values of the first IoT device and the schema of the second IoT device comprises schema elements and corresponding values of the second IoT device.

Adaptive and extensible universal schema for heterogeneous internet of things (IOT) devices

To ensure that multicasts from access points sent in response to periodic beacons reach a variety of listening clients that may have longer sleep intervals than an interval between beacons, this disclosure describes systems, methods, and apparatus for multicasting bursts of frames where a burst number is selected so as to be equal to or greater than a range of common sleep intervals. Further, where multicast frames are re-multicast according to known protocols, the repeated bursts can be offset from the re-multicast start time suggested by the protocol, in order to increase a likelihood that clients with especially long sleep intervals receive the multicast frame.

Multicast packet reception reliability over Wi-Fi

Methods and apparatuses for indicating a bearer status with a device are provided. A call setup message can be received from an application server indicating a request to initiate a call with a target device. A dedicated bearer status of a dedicated bearer with the target device can be verified, and a message can be sent to the application server indicating the dedicated bearer status with the target device.

Reducing time for call failure indication

An embodiment is directed to switching between server-arbitrated group communication sessions at an access terminal (AT) within a wireless communications system. The AT participates in a first group communication session when it receives an announce message announcing a second group communication session, acquires priority levels for the first and/or second group communication sessions and determines whether to switch between sessions based on the priority level(s). In another embodiment, the AT participates in a given processing task (e.g., a gaming session, a voice call, a group session, etc.) when it receives an alert that relates to a group communication session. If the alert is specially configured to force the given access terminal to drop the given processing task, the AT drops the given processing task irrespective of whether the AT later joins the announced group communication session.

Prioritization of group communications at a wireless communication device

An aspect enables context aware actions among heterogeneous Internet of Things (IoT) devices. An IoT device receives data representing a context of each of a first set of IoT devices, receives data representing a current state of each of a second set of IoT devices, and determines an action to perform at a target IoT based on the received data. An aspect verifies an implied relationship between a first user and a second user by detecting an interaction between a first user device belonging to the first user and a second user device belonging to the second user, storing information related to the interaction in a first interaction table associated with the first user device, assigning a relationship identifier to the second user based, at least in part, on the information related to the interaction, and determining whether or not the assigned relationship identifier is correct.

Context aware actions among heterogeneous internet of things (IOT) devices

The disclosure relates to collaborative intelligence and decision-making in an Internet of Things (IoT) device group. In particular, various IoT devices in the group may be interdependent, whereby a decision that one IoT device plans may impact other IoT devices in the group. Accordingly, in response to an IoT device planning a certain decision (e.g., to transition state or initiate another action), the IoT devices in the group may collaborate using distributed intelligence prior to taking action on the planned decision. For example, a recommendation request may be sent to other IoT devices in the group, which may then analyze relationships within the group to assess potential impacts associated with the planned decision and respond to approve or disapprove the planned decision. Based on the responses received from the other IoT devices, the IoT device may then determine whether to take action on the planned decision.

Collaborative intelligence and decision-making in an IoT device group

The disclosure relates to using discoverable peer-to-peer (P2P) services to remotely 'onboard' headless devices over a Wi-Fi network. In particular, an onboardee device may enter an onboarding mode in which the onboardee device becomes a Wi-Fi access point (AP) and an onboarder device connected to a private Wi-Fi network may discover the onboardee device and establish a secured session to engage with the P2P services running thereon. The first time that the onboarder device and the onboardee device engage with one another, the secured session may be established based on a key exchange that uses a well-known secret (e.g., a default passphrase), which may be immediately changed to a shared secret. The onboarder device may then transfer an onboarding configuration to the onboardee device, which may be instructed to validate the onboarding configuration and connect to the Wi-Fi network prior to entering the connected mode.

Growing community of inventors

San Diego, CA, United States of America

Ashutosh Aggarwal