Abstract: A system includes a first device, an internet-of-things ecosystem, and a vehicle The first device is operational to transmit a message to the internet-of-things ecosystem. The internet-of-things ecosystem is operational to transmit wirelessly the message per a given internet-of-things protocol to the vehicle. An internet-of-things-protocol capable circuit in the vehicle is operational to receive the message, wake up one or more modules in response to reception of the message, and transfer the message to the modules The modules are operational to process the message. The one or more modules are non-internet-of-things-protocol capable. The vehicle is operational to transmit an acknowledgement signal external to the vehicle in response to a completion of the processing of the message.

Abstract: A method for managing communication between Internet-of-Things (IoT) nodes in an IoT environment having an IoT hub includes using a service-requesting, high power initiator node to identify a candidate smart device among the nodes. The smart device is flexibly operable as a low power or high power device, as a hybrid device, based on a parameter of the initiator node. The method may include selectively assigning the smart device as a trusted designated node within the IoT environment. The method also includes determining, based on the parameter, an optimal periodicity of communication of status messages from the trusted designated node to an IoT hub. Thereafter, the method includes transmitting the status messages to the hub with the optimal periodicity, via the trusted designated node, such that the trusted designated node acts as a proxy for the initiator node when reporting the status messages to the hub.

Abstract: A vehicle comprising a remote access controller arranged in the vehicle and configured to selectively execute a remote command originated by an access key device and to attempt to connect with an Internet of Things (IoT) device. If the remote access controller is securely connected to the IoT device, the remote access controller is configured to exchange information with an access key device, connect with the access key device, determine a location of the access key device relative to the vehicle, determine if the location of the access key device is within a predetermined range of the vehicle, and if the access key device is within a predetermined range of the vehicle, send a security request to the IoT device including the location of the vehicle. A vehicle component selectively controlled by the remote access controller based on the remote command.

Abstract: A centralized extended proximity ranging method for use in a networked ecosystem having an initiator node in an initiator network, relay nodes, and a target node in a target network includes accessing a recorded activation profile. The ecosystem may be constructed as an Internet-of-Things (IoT) ecosystem. The activation profile includes a desired action or service of the target node, e.g., an automation robot. A proximity ranging protocol estimates a range to one or more neighboring nodes of the relay nodes within a range limit of the initiator node. The target node is outside of the range limit. The method includes identifying a ranging path between the initiator and target nodes, including communicating ranging parameters between nodes of the initiator and target networks. The ranging path includes the designated node. The method includes requesting performance of the desired action or service over the ranging path.

Abstract: Optimization of multimode messaging via a private network having a hybrid platform. The optimization may include identifying performance priority parameters included within a plurality of data sets, fragmenting the data sets into one or more subsets, generating reprioritize priority for the subsets, assessing transmission performance for the plurality of radio access, and assigning each of the subsets for transmission from the hybrid platform via one of the radio access points based on the transmission performance and the reprioritized priority.

Abstract: A proximity ranging method for use in a networked ecosystem having an initiator node, a plurality of relay nodes, and a target node includes accessing a recorded activation profile. The networked ecosystem may include a smart home or another Internet-of-Things (IoT) ecosystem. The activation profile includes a desired action or service of the target node. The method includes using a proximity ranging protocol to estimate a range to one or more neighboring nodes of the plurality of relay nodes within a range limit of the initiator node. The target node is located outside of the range limit of the initiator node. The method also includes dynamically determining an internodal distance between the initiator node and the target node using the one or more neighboring nodes.

Abstract: A method for in-vehicle localization of a mobile device includes receiving, in real time, sensor data from a plurality of UWB sensors inside a vehicle. The plurality of UWB sensors includes a plurality of UWB anchors and a UWB tag, which is part of the mobile device. The method further includes determining a plurality of location candidates of the UWB tag based on the sensor data received, determining a plurality of sensed current locations of the UWB tag and a plurality of probabilities for each of the plurality of sensed current locations of the UWB tag using a Gaussian Kernel Density Estimation (KDE), tracking a motion of the UWB tag, and determining a real-time position of the UWB tag using a Bayesian estimation.

Abstract: A wireless charger for a mobile device includes a coil arranged adjacent to a charging surface. A power conversion module is configured to selectively supply power from a power source to the coil to wirelessly charge the mobile device. A temperature sensor is configured to sense a temperature at the charging surface of the wireless charger. A material sensor is configured to sense a material of a cover of the mobile. A communications and control module is configured to control wireless charging of the mobile device based on the sensed temperature and a temperature range selected in response to the sensed material of the cover of the mobile device.

Abstract: Examples described herein provide a method for optimization and management of a digital access system for a vehicle. The method includes monitoring a digital access function of the digital access system of the vehicle to detect an event. The method further includes determining, using a state assessment optimizer, whether the event indicates a failure of the digital access function of the digital access system. The method further includes, responsive to determining that the event indicates a failure of the digital access function of the digital access system, assessing, using the state assessment optimizer, sub-events of the event that failed, evaluating, using the state assessment optimizer and based at least in part on the sub-events of the event that failed, other communication technologies to identify an alternative communication technology and re-executing, using the alternative communication technology, the digital access function that failed.

Abstract: A method for unicast UWB ranging includes receiving UWB sensor data from a plurality of UWB sensors. The UWB sensors include UWB anchors and a UWB tag. The method further includes assigning a priority to each of the plurality of UWB to create a schedule. Also, the method includes synchronizing a global clock to generate a synchronized global time. Moreover, the method includes determining a maximum time gap and a minimum time gap, wherein the minimum time gap is a minimum amount of time needed between a first sensor reading and a second sensor reading of the plurality of UWB sensors to avoid UWB signal collision, the maximum time gap is a maximum predetermined amount of time between sensor readings of the plurality of UWB sensors; and updating the schedule based on the synchronized global time, the minimum time gap, and the maximum time gap.

Abstract: A telematics system for a mobile UE includes a telematics controller that is configured to communicate via a plurality of communication channels. The telematics controller determines, for each of the communication channels, a parameter related to data throughput and energy consumption to effect an uplink communication between the telematics controller and a second device when the mobile UE is in a low-power operating mode. The parameter related to data throughput and energy consumption to effect the uplink communication is compared with a threshold. One of the communication channels is selected based upon the parameter related to data throughput and energy consumption to effect the uplink communication. The telematics controller communicates with the second device via the one of the plurality of communication channels when the mobile UE is in the low-power operating mode.

Abstract: A method for smart guided selection of networks includes detecting a wireless connectivity issue between. The in-vehicle network device is inside a vehicle, and the network access device may be inside or outside the vehicle. The method further includes receiving network data. The network data includes a list of available networks and network performance characteristics of each of the available networks. The method includes predicting, using machine learning, quality of service (QoS) metrics of the available networks along a trip of a vehicle and selecting a one or more networks from the list of available networks for one or more in-vehicle network devices based constraint solving on the predicted QoS metrics of the list available networks and QoS constraints.

Abstract: A method for unicast UWB ranging includes receiving UWB sensor data from a plurality of UWB sensors. The UWB sensors include UWB anchors and a UWB tag. The method further includes assigning a priority to each of the plurality of UWB to create a schedule. Also, the method includes synchronizing a global clock to generate a synchronized global time. Moreover, the method includes determining a maximum time gap and a minimum time gap, wherein the minimum time gap is a minimum amount of time needed between a first sensor reading and a second sensor reading of the plurality of UWB sensors to avoid UWB signal collision, the maximum time gap is a maximum predetermined amount of time between sensor readings of the plurality of UWB sensors; and updating the schedule based on the synchronized global time, the minimum time gap, and the maximum time gap.

Abstract: a process for responding to an energy demand event includes identifying an energy demand event and ranking multiple distributed energy resources according to a dynamic state of health of each distributed energy resource. At least one of the distributed energy resources is assigned to meet the demand event. An anomaly count of at least one of the at least one distributed energy resources is monitored throughout the energy demand event.

Abstract: A system for providing updates in a vehicle includes a server device configured for providing an OTA campaign update and the vehicle. The vehicle includes a device including software to be upgraded by the over-the-air campaign update and a low voltage battery providing low voltage power. The system further includes a battery providing high voltage power and an accessory power module configured to transform the high voltage power into low voltage power and including programming to estimate an available power of the low voltage battery. The system further includes a controller monitoring the available power, comparing the available power to a threshold, and, when the available power is less than the threshold, commanding the accessory power module to transform the high voltage power to provide the low voltage electrical power. The controller further schedules receiving the update based upon the available power and updates the device with the update.

Abstract: A computer-implemented method that, when executed by data processing hardware, causes the data processing hardware to perform operations comprising detecting channel sounding between a first low energy communication device and a second low energy communication device, determining a number of antenna paths between two or more antennas coupled to each of the first low energy communication device and the second low energy communication device, configuring a link layer configuration and an interface protocol of the first low energy communication device and the second low energy communication device such that at least one mode-0 step is assigned to each antenna path if the number of antenna paths is greater than three, and executing antenna calibration for a channel sounding procedure at the first low energy communication device and second low energy communication device according to the link layer configuration and the interface protocol.

Abstract: A method for a Matter compute architecture with smart discovery and opportunistic allocation of IoT device resources includes obtaining a device identifier for each of a plurality of devices within an ecosystem of a vehicle, each device identifier including resource capabilities and resource needs of the device. For each device, the method also includes validating the device based on the obtained device identifier, and classifying the device based on the resource capabilities and the resource needs of the device. The method also includes generating a device controller matrix by identifying an ecosystem resource requirement for the plurality of devices, predicting an ecosystem resource availability for the plurality of devices, and prioritizing the resource capabilities and the resource needs of each device based on the ecosystem resource requirement and the ecosystem resource availability.

Abstract: A computer-implemented method that, when executed by data processing hardware, causes the data processing hardware to perform operations comprising detecting one or more alert events, assessing an impact of the one or more alert events on wireless communication technology of a vehicle, estimating status of the wireless communication technology, evaluating resource management for use of a digital key, and providing a matrix of the wireless communication technology to a mobile device.

Abstract: A method for operating a digital key configured to wirelessly connect to a vehicle includes receiving wireless communication signal data and vehicle data. The method further includes ranking, using a machine learning model, a plurality of wireless communication technologies for wirelessly connecting a mobile device to the vehicle and selecting one of the plurality of wireless communication technologies based on ranking of the plurality of wireless communication technologies. Further, the method includes establishing a wireless communication between the mobile device and the vehicle using the selected wireless communication technology. A digital key application is running on a mobile device, thereby allowing the digital key application to operate as a digital key for the vehicle after the wireless communication between the mobile device and the vehicle has been established.

Abstract: A method for network resource optimization may include selecting a first leader device from a plurality of wireless devices in wireless communication. The first leader device is in wireless communication with at least one follower device of the plurality of wireless devices. The method further may include transferring a follower data processing task from the at least one follower device to the first leader device. The follower data processing task includes at least one of: a computation task and a communication task. The method further may include performing the follower data processing task using the first leader device.