Abstract:
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.
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a connected device, an indication associated with management of one or more communications between the connected device and a network node of a wireless network, wherein the one or more communications are carried by the UE between the connected device and the network node. The UE may configure, based at least in part on the indication, the UE for carrying the one or more communications between the connected device and the network node. Numerous other aspects are described.
Abstract:
Systems and techniques are described for providing an enhanced vehicle-to-everything (V2X) see-though use case. For example, a method for wireless communication at a network entity may include receiving, at the network entity, sensor data from one or more devices, the sensor data comprising at least one of sensing measurements associated with one or more objects in an environment or information associated with a respective device of the one or more devices. The method may include generating, at the network entity, one or more advisory messages for one or more recipient vehicles based on at least a portion of the sensor data. The method may further include transmitting, from the network entity, the one or more advisory messages to the one or more recipient vehicles.
Abstract:
Various embodiments include method performed by a processor of a roadside unit (RSU) processing system for controlling a message transmissions. In various embodiments, the RSU processing system may receive vehicle-to-everything (V2X) information from a vehicle, determine, based on the received V2X information, a minimum reception distance at which the vehicle or operator of the vehicle will reliably receive a message from the RSU and have time for the vehicle to react to the message, determine a transmission power level based on the determined minimum reception distance, and transmit the message to the vehicle using the determined transmission power level. In various embodiments, the RSU processing system may determine the transmission power level taking into account vehicle speeds, vehicle locations, road conditions, weather conditions and/or the type of message being transmitted.
Abstract:
Techniques for determining an alternative communication mode for vehicle-to-vehicle communication at a host vehicle can include monitoring the primary mode of RF communication to ensure it is effectively communicating and, if not, intelligently selecting a backup communication mode comprising one or more other sensors and/or systems of the vehicle. The selection of the backup communication mode may take into account various factors that can affect the various modes of communication from which the backup communication mode is selected.
Abstract:
The disclosure generally relates to offloading communication from a network infrastructure to direct peer-to-peer communication. In particular, a server may receive peer-to-peer status information over the network infrastructure from at least two client devices that intend to communicate, wherein the peer-to-peer status information may include at least coarse or precise location information associated with the client devices. The server may then instruct the client devices to communicate over a direct peer-to-peer connection that bypasses the network infrastructure in response to determining that the location information received from the client devices and other conditions permit offloading the communication from the network infrastructure. For example, the server may determine whether the communication can be offloaded based at least in part on whether an estimated distance between the client devices falls within a maximum range associated with one or more peer-to-peer interfaces supported on one or more of the client devices.
Abstract:
The disclosure relates to identifying an object associated with a nearby Internet of Things (IoT) device. In an aspect, a device receives identifying information associated with the nearby IoT device, detects a nearby object in a field of view of a camera application, determines whether or not the nearby object is associated with the nearby IoT device based on the received identifying information, and based on the nearby object being associated with the nearby IoT device, determines that the nearby object corresponds to the object associated with the nearby IoT device.
Abstract:
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.