Abstract: In one embodiment, an apparatus comprises circuitry, wherein the circuitry is configured to: transmit, via a communications network, first context information of a first edge device to one or more second edge devices, wherein the first context information identifies an operating environment of the first edge device based on information from one or more sensors; receive, via the communications network, second context information of the one or more second edge devices, wherein the second context information identifies an operating environment of the one or more second edge devices based on information from one or more sensors; and perform a network management function based on the first context information and the second context information.

Abstract: Disclosed embodiments relate to an orchestrator and arbitrator in an Internet of Things (IoT) platform. In one example, a method of servicing a plurality of data flows of a plurality of wireless devices using a plurality of protocols includes: monitoring one or more interfaces that communicate using the plurality of protocols, activating a first interface upon detecting a demand to exchange data thereon, wherein a connectivity manager performs the monitoring, and activating, extracting, by a packet analyzer, packet metadata from one or more of the plurality of data flows, determining latency encountered and bandwidth utilized by the one or more data flows based on the packet metadata, applying, by an adaptive connectivity manager (ACM), a latency reduction strategy to attempt to comply with latency criteria, and applying, by a bandwidth utilization manager (BUM), a bandwidth reduction strategy to attempt to comply with bandwidth criteria.

Abstract: In one embodiment, an apparatus comprises circuitry, wherein the circuitry is configured to: receive, via a communications network, context information for a first set of one or more edge devices, wherein the context information identifies an operating environment of the first set of edge devices based on information from one or more sensors; receive, via the communications network, workload information for a second set of one or more edge devices; determine workload assignments for the first set of edge devices based on the context information for the first set of edge devices and based on the workload information for the second set of edge devices; and transmit, via the communications network, the workload assignments to the first set of edge devices.

Abstract: In one embodiment, an apparatus comprises a network interface and a processor. The processor is to: receive, via the network interface, a plurality of data streams to be routed over a network, wherein the plurality of data streams correspond to sensor data captured by a plurality of sensors; identify, from the plurality of data streams, a set of related data streams that are contextually related; identify a convergence function to be performed on the set of related data streams, wherein the convergence function is for transforming the set of related data streams into a converged data stream that is smaller in size than the set of related data streams; perform the convergence function to transform the set of related data streams into the converged data stream; and route, via the network interface, the converged data stream to one or more corresponding destinations over the network.

Abstract: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

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

Abstract: Disclosed embodiments relate to an orchestrator and arbitrator in an Internet of Things (IoT) platform. In one example, a method of servicing a plurality of data flows of a plurality of wireless devices using a plurality of protocols includes: monitoring one or more interfaces that communicate using the plurality of protocols, activating a first interface upon detecting a demand to exchange data thereon, wherein a connectivity manager performs the monitoring, and activating, extracting, by a packet analyzer, packet metadata from one or more of the plurality of data flows, determining latency encountered and bandwidth utilized by the one or more data flows based on the packet metadata, applying, by an adaptive connectivity manager (ACM), a latency reduction strategy to attempt to comply with latency criteria, and applying, by a bandwidth utilization manager (BUM), a bandwidth reduction strategy to attempt to comply with bandwidth criteria.

Abstract: Generally discussed herein are systems, devices, and methods for data management in a reverse content data network (rCDN). A component of the rCDN may include a memory to hold content received from a first sensor device of a plurality of sensor devices of the rCDN and first attributes that describe properties of the content. The component may include processing circuitry to receive second content from a second sensor device of the plurality of sensor devices, the second content including a plurality of second attributes that describe properties of the second content, and forward, in response to a determination, based on the first and second attributes, that there is insufficient space to store the second content on the memory, the second content to a node of the rCDN that is fewer hops away from a backend cloud than the component.

Abstract: System and techniques for a multi-class Long Range Lower Power (LRLP) access point (AP) multifactor intelligent agent control are described herein. A station (STA) association at the AP is received. Here, the association includes Class Identifier (ID) information. The Class ID information encompasses a set of communication parameters. A schedule of LRLP and non-LRLP STAs with associations at the AP is maintained. A transceiver chain is modified based on the schedule and the set of communication parameters to complete a communication with the STA.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to add common sense to a human machine interface. Disclosed examples include a human machine interface system that having an actuator to cause artificial intelligence to execute in a virtual execution environment to generate a virtual response to a user input. The system also includes a virtual consequence evaluator to evaluate a virtual consequence that follows from the virtual response, the virtual consequence generated by executing a model of human interactions, and an output device controller to cause an output device to perform a non-virtual response to the user input when the virtual consequence evaluator evaluates the virtual consequence as positive.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve boundary excursion detection. An example apparatus to improve boundary excursion detection includes a metadata extractor to parse a first control stream to extract embedded metadata, a metadata label resolver to classify a boundary term of the extracted embedded metadata, a candidate stream selector to identify candidate second control streams that include a boundary term that matches the classified boundary term of the first control stream, and a boundary vector calculator to improve boundary excursion detection by calculating a boundary vector factor based on respective ones of the candidate second control streams that include the classified boundary term.

Abstract: Automated methods and apparatuses for charging or fueling a vehicle, include, in embodiments, the CA/AD system of a vehicle, having a charging or fueling port, being provided with an apparatus having a plurality of tags and a controller. The plurality of tags are respectively installed at a plurality of positions on a top face of a roof of the vehicle. The controller is provided to the CA/AD system. The controller is configured to cause information about the charging or fueling port to be transmitted (e.g., via LED tags) to the charging or fueling system of the charging or fueling station. The charging or fueling system, provided with a charging connector or fueling nozzle, and an imaging device, uses at least the information about the charging or fueling port and the plurality of positions of the plurality tags to determine a location of the charging or fueling port of the vehicle, to charge or fuel the vehicle.

Abstract: Methods and apparatus to train interdependent autonomous machines are disclosed. An example method includes performing an action of a first sub-task of a collaborative task with a first collaborative robot in a robotic cell while a second collaborative robot operates in the robotic cell according to a first recorded action of the second collaborative robot, the first recorded action of the second collaborative robot recorded while a second robot controller associated with the second collaborative robot is trained to control the second collaborative robot to perform a second sub-task of the collaborative task, and training a first robot controller associated with the first collaborative robot based at least on a sensing of an interaction of the first collaborative robot with the second collaborative robot while the action of the first sub-task is performed by the first collaborative robot and the second collaborative robot operates according to the first recorded action.

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: Techniques are disclosed herein for on-demand ad hoc cooperation for autonomous vehicles in an emergency situation. According to an embodiment, a trigger indicative of an emergency situation is detected by a vehicle control system. In response to the trigger, a platoon is formed with one or more vehicles within a predefined radius of the vehicle control system. Communications are established with the vehicles in the platoon to determine a course of action to perform during the emergency situation.

Abstract: Systems, methods, and computer-readable media are provided for managing mutual and transitive trust relationships between resources, such as Fog/Edge nodes, autonomous devices (e.g., IoT devices), and/or analog/biological resources to provide collaborative, trusted communication over a network for service delivery. Disclosed embodiments include a subject resource configured to assign an observed resource to a trust zone based on situational and contextual information. The situational information may indicate a vector of the observed resource with respect to the subject resource. The contextual information may be based in part on whether a relationship exists between the subject resource and the observed resource. The subject resource is configured to determine a trust level of the observed resource based on the determined trust zone. Other embodiments are disclosed and/or claimed.

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: System and techniques for radio link quality prediction are described herein. A mobile device may receive a device registration. Motion data for the mobile device may then be obtained. A predicted path for the mobile device may be derived from the motion data. A set of predicted radio metrics for the mobile device along the predicted path mat be produced via a dynamic coverage map. The set of predicted radio metrics may then be transmitted.

Abstract: Techniques are disclosed for streaming digital content from a server to a client device in a way that is tailored to the context in which the client device is used. The context in which a client device is used may refer to, for example, the operational characteristics of the device and/or the environmental conditions under which the device is used. A client device can be configured to collect contextual data characterizing its use context. The way in which streaming media is delivered to the client device can be adjusted based on such contextual data, and in particular, can be adjusted in a way that tailors the content delivery to the specific use context. This can improve user experience and conserve battery and network resources, for example, by avoiding the streaming of high definition content to a device that, due to its use context, is able to render standard definition content.

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.