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: According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.

Abstract: Vehicle navigation control systems in autonomous driving rely on the accuracy of maps which include features about a vehicle's environment so that a vehicle may safely navigate through its surrounding area. Accordingly, this disclosure provides methods and devices which implement mechanisms for communicating features observed about a vehicle's environment for use in updating maps so as to provide vehicles with accurate and “real-time” features of its surroundings while taking network resources, such as available frequency-time resources, into consideration.

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: Systems and techniques for distributed machine learning (DML) in an information centric network (ICN) are described herein. Finite message exchanges, such as those used in many DML exercises, may be efficiently implemented by treating certain data packets as interest packets to reduce overall network overhead when performing the finite message exchange. Further, network efficiency in DML may be improved achieved by using local coordinating nodes to manage devices participating in a distributed machine learning exercise. Additionally, modifying a round of DML training to accommodate available participant devices, such as by using a group quality of service metric to select the devices, or extending the round execution parameters to include additional devices, may have an impact on DML performance.

Abstract: Systems and techniques for quality-of-service (QoS) in cellular information centric network (ICN) are described herein. To this end, QoS characteristics may be obtained for an ICN packet. The QoS characteristics may then be applied to the ICN packet. The ICN packet may then be transmitted in accordance with the QoS characteristics.

Abstract: Systems and techniques for information-centric network data cache management are described herein. A demand metric may be calculated for a content item requested from an information-centric network (ICN). A resistance metric may be calculated for each cache node of a set of cache nodes in the ICN based on the demand metric. A topology of the set of cache nodes may be evaluated to identify a transmission cost for each cache node of the set of cache nodes. An influencer node may be selected from the set of cache nodes based on the resistance metric for the influencer node and the transmission cost for the influencer node. The content item may be cached in a data cache of the influencer node.

Abstract: Systems and techniques for an information centric network (ICN) distributed search with approximate cache and forwarding information lookup. For example, a search interest packet may be received. Here, the search interest packet includes search criteria and a signal indicating that it is a search interest packet. A search for content—including content in a local content store—that meets the search criteria may then be performed. Once complete, a data packet that includes the results of the search may be transmitted towards an author of the search interest packet.

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: Systems and techniques for mission critical (MC) push notification mechanism in a high-reliability (HR) information centric network (ICN) are described herein. For example, a node may test network links to other nodes to classify the other nodes into proximate nodes and non-proximate nodes based on a reception metric. The node may then elect a set of leader nodes from the proximate nodes. Here, the set of leader nodes are selected based on link quality between respective leader nodes and non-proximate nodes. The node may detect an MC event and create an ICN data packet that contains data from the MC event. The node may then transmit the ICN data packet to the set of leader nodes that then relay the ICN data packet to the non-proximate nodes.

Abstract: Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.

Abstract: Systems and techniques for machine generation of content names in an information centric network (ICN) are described herein. For example, a node may obtain content. An inference engine may be invoked to produce a name for the content. Once the content is named, the node may respond to an interest packet that includes the name of the content. The response is a data packet that includes the content.

Abstract: Systems and techniques for information centric network (ICN) emergency data collection are described herein. For example, an event coverage area may be measured. An interest packet may be transmitted to map nodes within the coverage area. In an example, the interest packet specifies a group prefix. A group of nodes that respond to the interest packet may be selected as event detecting nodes. Then, an event subscription interest packet may be transmitted to the event-detecting nodes.

Abstract: Systems and techniques for efficient remote function execution in an information centric network (ICN) are described herein. For example, a requestor node may transmit an admission probe interest packet. Here, the admission probe interest packet includes a name that includes a function. The admission probe interest packet also includes a metric of a parameter of the function. In response, the requestor node may receive a manifest data packet. The manifest includes a metric of function execution at a node that created the manifest data packet. The manifest also includes a name of an implementation of the function. The requestor node may then determine that the metric of function execution meets a threshold and transmit an interest packet that includes the name of the implementation of the function.

Abstract: Systems and techniques for node-density aware interest packet forwarding in a dynamic ad hoc information centric network (ICN) are described herein. For example, a next interest packet to forward may be obtained at a network node. A time period to hold the next interest packet before forwarding may be calculated based on node density in the network. The node may then broadcast the next interest packet upon expiration of a timer set to the time period and started when the next interest packet was obtained.

Abstract: Systems and techniques for information centric network (ICN) approximate computation caching are described herein. For example, an interest packet that includes a feature set of input data may be received. A node may then perform a search of a local data store using the feature set to determine an approximate computation result cached in the local data store. Here, the approximate computation result may be based on input data that differs from the input data named in the interest packet. The node may then return the approximate computation result to an author of the interest packet in response to the search.

Abstract: In one example a system to manage inter-vehicle communication in a decentralized vehicle-to-vehicle network comprises a plurality of sensors to detect context information about driving conditions proximate a first vehicle; a communication interface to manage communications between the first vehicle and a second vehicle; and a controller communicatively coupled to the plurality of sensors and the communication interface and comprising processing circuitry, to receive context information from the plurality of sensors; determine, from the context information, when the first vehicle is approaching a dead zone in which contact with a communication network may be lost; and in response to a determination that the first vehicle is approaching a dead zone in which contact with a communication network may be lost, to activate a synchronization frame broadcast module to broadcast a synchronization frame via the communication interface. Other examples may be described.

Abstract: Disclosures herein may be directed to a method, technique, or apparatus directed to a CA/AD that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the other CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the other CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.

Abstract: An embodiment of a semiconductor package apparatus may include technology to generate first name information corresponding to data and/or content for an autonomous vehicle to represent vehicular application information based on requirements of the vehicular application information, and generate second name information corresponding to a chain of functions for an autonomous vehicle based on the requirements of the vehicular application information. Another embodiment may include technology to identify a cluster head for a cluster of autonomous vehicles, utilize the cluster head to assist in-networking caching of data and/or functions, utilize the cluster head to coordinate discovery of availability of functions, data cache resources, and/or compute resources in a proximity of the cluster head, and utilize the cluster head to coordinate producer mobility and/or consumer mobility. Other embodiments are disclosed and claimed.

Abstract: Systems, apparatuses and methods may provide for vehicle technology that detects one or more differences between a crowdsourced map of an ambient environment and a real-time volumetric map of the ambient environment and sends a first message via a vehicle-to-vehicle (V2V) link, wherein the difference(s) are represented in the first message at a first resolution. Additionally, the vehicle technology sends a second message via a vehicle-to-infrastructure (V2I) link, wherein the difference(s) are represented in the second message at a second resolution, and wherein the first resolution is less than the second resolution. Moreover, server technology may integrate a first octree representation and a second octree representation into a dynamic layer associated with the crowdsourced map.