Abstract: Methods and apparatus to manage operation of variable-state computing devices using artificial intelligence are disclosed. An example computing device includes a hardware platform. The example computing device also includes an artificial intelligence (AI) engine to: determine a context of the device; and adjust an operation of the hardware platform based on an expected change in the context of the device. The adjustment modifies at least one of a computational efficiency of the device, a power efficiency of the device, or a memory response time of the device.

Abstract: A wireless access device is provided that includes at least one processor, an antennae, and a localization engine. The localization engine is executable by the at least one processor to determine a location of the access device, receive a wireless signal from a particular device that includes presence information corresponding to the particular device that lacks self-localization functionality, and determine a location of the particular device based on the location of the access device and the presence information.

Abstract: Embodiments of a system and method for dynamic hardware acceleration are generally described herein. A method may include identifying a candidate task from a plurality of tasks executing in an operating environment, the operating environment within a hardware enclosure, the candidate task amenable to hardware optimization, instantiating, in response to identifying the candidate task, a hardware component in the operating environment to perform hardware optimization for the task, the hardware component being previously inaccessible to the operating environment, and executing, by the operating environment, a class of tasks amenable to the hardware optimization on the hardware component.

Abstract: Example methods, apparatus, and systems to implement an Internet-of-Things (IoT) device are disclosed. An example apparatus includes memory; processor circuitry including a field programmable gate array (FPGA), the processor circuitry to execute, on the IoT edge device, at least one application from a management server system in a cloud; execute software to monitor an operating state of the application on the IoT edge device; execute the software to manage communication between the IoT edge device and a downstream IoT device; execute the software to manage communication between the IoT edge device and the cloud; detect that the operating state for the application is a first state; restart the application to return the operating state of the application to a second state; access data from the downstream IoT device; and execute a machine learning model with the FPGA to process the data at the IoT edge device.

Abstract: Systems and techniques for information centric network (ICN) high definition (HD) map distribution are described herein. For example, a vehicle may detect a map tile event (e.g., moving into an area for which the vehicle does not have an up-to-date map tile). The vehicle may transmit an interest packet a name for the map tile via an ICN and receiving the map tile in a data packet sent in response to the interest packet.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Generally discussed herein are systems, devices, and methods for interfacing between a host-oriented network (HON) and an information-centric network (ICN). A device can include a first interface to couple to a host-oriented network (HON), a second interface to couple to an information-centric network (ICN), a memory including data stored thereon mapping named data in the ICN to a respective host in the HON, and content processing circuitry to receive an interest packet or content packet from the ICN through the first interface, produce a corresponding HON packet based on the mapping in the memory, and provide the HON packet to the HON through the second interface.

Abstract: Generally discussed herein are systems, devices, and methods for managing content of an information centric network (ICN). A component of an ICN can include a memory including an extended content store that includes content from at least one other component of the ICN, and first attributes of the content, the first attributes including a content popularity value that indicates a number of requests for the content, and processing circuitry to increment the content popularity value in response to a transmission of a first content packet that includes the content, the first content packet transmitted in response to receiving an interest packet.

Abstract: Aspects for interference mitigation in ultra-dense networks are described. Configuration information for at least one co-located hotspot may be determined based on information received from a respective UE of a plurality of UEs and the configuration information may be provided to the at least one co-located hotspot. The configuration information may include an identifier for a channel on which the at least one co-located hotspot is to operate and/or a duration for which the configuration information is to remain valid.

Abstract: The subject matter described herein presents various technical solutions for the technical problems facing autonomous vehicles (e.g., fully autonomous and semi-autonomous vehicles). To address technical problems facing wireless communication cost and latency, a heterogeneous roadside infrastructure can be used to improve the ability for a vehicle to communicate with a data source. To address technical problems facing interruption of vehicle services due to an abrupt loss of connection, a quality of service system provides the ability to determine and share quality of service information, such as location-based information, maps, interference data, and other quality of service information. To address technical problems facing high volume data upload and download between autonomous vehicles and cloud-based data services, optical wireless communication (OWC) provides increased data throughput and reduced complexity, and may be beneficial for short-range high-mobility wireless communications.

Abstract: A system to monitor and control sensor devices. A system in an operational environment may act as a gateway for at least one sensor device in the operational environment. In acting as a gateway the system may provide presentation data regarding the at least one sensor device to, and may receive commands from, at least one client device. Interaction between the gateway device and the at least one client device may be configured through interaction with access coordination resources (ACR). In push mode the gateway device may generate a notification when sensor data is determined to satisfy a condition. In pull mode the gateway system may receive commands from the at least one client device to cause the gateway system to generate/provide the presentation data to the at least one client device, provide instructions and/or data to the at least one sensor device, etc.

Abstract: The disclosed embodiments generally relate to methods, systems and apparatuses for directing Autonomous Driving (AD) vehicles. In one embodiment, an upcoming condition is assessed to determine the computational needs for addressing the condition. A performance value and latency requirement value are assigned to the upcoming condition. A database of available nodes in the network is then accessed to select an optimal node to conduct the required computation. The database may be configured to maintain real time information concerning performance and latency values for all available network nodes. In certain embodiments, all nodes are synchronized to maintain substantially the same database.

Abstract: Generally discussed herein are systems, devices, and methods for populating a cache in an information-centric network. A device of an ICN can include a content store including published content and attributes of the published content stored thereon, the attributes including at least two of a device from which the content originated attribute, a lineage attribute, and a service level agreement attribute, and content processing circuitry coupled to the content store, the content processing circuitry configured to manage the published content based on the attributes.

Abstract: Systems, devices, and techniques for V2X communications using multiple radio access technologies (RATs) are described herein. A communication associated with one or more of the multiple RATs may be received at a device. The device may include a transceiver interface with multiple connections to communicate with multiple transceiver chains. The multiple transceiver chains can be configured to support multiple RATs. Additionally, the multiple transceiver chains may be controlled via the multiple connections of the transceiver interface to coordinate the multiple RATs to complete the communication.

Abstract: To address technical problems facing managing multiple sources of information from multiple vehicles, vehicular computing power may be exploited to process such information before sharing with others, which may help reduce network traffic overhead. A technical solution to improve this information processing over vehicular networks by using a hybrid Named Function Network (NFN) and Information Centric Network (ICN), such as in a hybrid NFN/ICN. An NFN may be used to orchestrate computations in a highly dynamic environment after decomposing the computations into a number of small functions. A function may include a digitally signed binary supplied by a car vendor or other trusted authority and executed within a controlled environment, such as a virtual machine, container, Java runtime-environment, or other controlled environment.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: Techniques are provided for optimizing the operations of an ICN, particularly for an ICN with clustered nodes. A cluster head node may function as an orchestrator and a coordinator for efficient caching, routing, and computing and for co-existence of ICN and IP nodes in the network. A content store of an ICN router may include an indication of the time after which data expires and the new data is to be swapped in place of the expired data after that point in time. Digital rights management (DRM) enforcement is provided by managing access to a DRM engine in at least one of the ICN nodes in a cluster. Congestion control is provided by minimizing the number of ICN scoped interest requests and thereby minimizing the potentially high volume of data responses. These techniques optimize interest packet forwarding and processing through collaboration with neighboring ICN nodes.

Abstract: Each of a plurality of Internet of Things (IoT) devices includes at least one sensor. At least some of the plurality of IoT devices may have a single, low power, state. At least some of the plurality of IoT devices may have a first, low-power, low-bandwidth, “STANDBY” state and a second, high-power, high-bandwidth, “ACTIVE” state. Controller circuitry, that may include sensor abstraction circuitry and/or analytics circuitry receives a signal from a first IoT device, analyzes the signal and determines whether to transition a second IoT device from the STANDBY state to the ACTIVE state. The controller circuitry beneficially minimizes power consumption and bandwidth requirements for the second IoT device. The controller circuitry also determines at least one of: an event context or an environmental context.

Abstract: Aspects for interference mitigation in ultra-dense networks are described.

Abstract: Systems, apparatus, and computer-readable media for managing data storage for vehicle-embedded computer devices (VECDs) are disclosed. Embodiments include a data hierarchy, which classifies data based on the data source, data destination, the intended use of the data or a target application, data processing requirements of the data, and/or delivery time requirements of the data. A VECD may classified obtained data according to the hierarchy and may store the data in different storage devices based on the classification of data. Other embodiments are described and/or claimed.