Abstract:
A system and method changes a rate at which routing information is sent to increase it upon the detection of one or more events, maintaining the then current rate for an amount of time, or dropping it, otherwise.
Abstract:
In one embodiment, techniques are shown and described relating to attack mitigation using learning machines. A node may receive network traffic data for a computer network, and then predict a probability that one or more nodes are under attack based on the network traffic data. The node may then decide to mitigate a predicted attack by instructing nodes to forward network traffic on an alternative route without altering an existing routing topology of the computer network to reroute network communication around the one or more nodes under attack, and in response, the node may communicate an attack notification message to the one or more nodes under attack.
Abstract:
In one embodiment, a device, such as a network management server, determines a traffic matrix of a mesh network, where the traffic matrix indicates an amount of traffic per type of traffic transitioning between the mesh network and a global computer network via one or more current root devices. One or more optimized root devices may then be selected for corresponding directed acyclic graphs (DAGs) based on the amount of traffic and type of traffic. As such, a DAG formation request may be transmitted to the selected root devices, carrying a characteristic for a corresponding DAG to form by the respective selected root devices that indicates which one or more types of traffic correspond to the corresponding DAG.
Abstract:
In one embodiment, a battery-operated communication device “quick-samples” a frequency hopping sequence at a periodic rate corresponding to a substantially low duty cycle, and is discovered by (e.g., attached to) a main-powered communication device. During a scheduled sample, the main-powered communication device transmits a control packet to be received by the battery-operated communication device, the control packet containing timing information and transmitted to account for worst-case clock drift error between the two devices. The battery-operated communication device responds to the control packet with a link-layer acknowledgment containing timing information from the battery-operated communication device. Accordingly, the two devices may re-synchronize their timing based on the timing information in the control packet and acknowledgment, respectively.
Abstract:
In a multi-PHY, low power and lossy network comprising a plurality of nodes, a sender determines that a dwell time threshold limit for transmission of data will be exceeded by transmission of the data over a first network interface or that the recipient is unknown. The sender determines transmission parameters for the transmission of the data over the first network interface and transmits the transmission parameters to a receiver device over a second network interface that is different than the first network interface. The sender determines a channel on the first network interface for transmission of the data and transmits the determined channel with the transmission parameters to the receiver, or the receiver determines the channel on the first network interface for transmission of the data and transmits an indication of the determined channel to the sender in response to receiving the transmission parameters.
Abstract:
In accordance with techniques presented herein, a packet is received at a forwarding device operating in a multi-service Low-power and Lossy Network (LLN). The forwarding device is configured to retrieve service requirements associated with the packet and obtain forwarding information from a plurality of networking layers associated with forwarding of the packet. The forwarding device is further configured to evaluate the service requirements in view of the forwarding information to dynamically adjust one or more parameters within the LLN for use in forwarding packets within the LLN.
Abstract:
In one embodiment, a source routing device (e.g., root device) pre-computes diverse source-routed paths to one or more nodes in a computer network. Upon receiving a particular packet, the device forwards the particular packet on a source-routed first path of the pre-computed diverse paths. In the event the device implicitly detects failure of the first path, then it forwards a copy of the particular packet on a source-routed second path of the pre-computed diverse paths in response. In one embodiment, implicit failure detection comprises seeing a second (repeated) packet with the same identification within a certain time since the first packet, and the second packet is forwarded on the second path. In another embodiment, implicit failure detection comprises not seeing a link-layer acknowledgment returned or receiving an error notification from a node along the broken path, and a stored copy of the particular packet is forwarded on the second path.
Abstract:
In a multiple interface, low power and lossy network comprising a plurality of nodes, a sender node dynamically selects a data packet for setting a transmission parameter request in response to determining that an age value for a set of transmission parameters associated with a recipient device has expired or is expiring. The sender node selects an desired data packet for sending a transmission parameter request and transmits the selected data packet to the recipient device. The sender node receives a transmission parameter response from the recipient node comprising updated transmission parameters for that recipient node and then updates the current transmission parameters associated with the recipient node accordingly.
Abstract:
In one embodiment, a node determines an intention to transmit a diversely forwarded packet through a computer network, and as such, transmits a first version of the packet having a packet identifier (ID) and a first distinguisher value to a first next-hop node, and transmits a second version of the packet having the same packet ID and a second distinguisher value different from the first distinguisher value to a second next-hop node different from the first next-hop node. In another embodiment, a next-hop node that receives the packet determines whether any previously received packet at the next-hop node had a same packet ID and a different distinguisher value. In response to determining that no previously received packet has the same packet ID and different distinguisher value, the next-hop node stores the packet ID and the distinguisher value, and forwards the packet to a selected next-hop node.
Abstract:
In one embodiment, a learning machine may be used to select observer nodes in a LLN such that the liveness of one or more nodes of interest may be monitored indirectly. In particular, a management device may receive network data on one or more network traffic parameters of a computer network. The management device may then determine, based on the network data, a candidate list of potential observer nodes to monitor activity or inactivity of one or more subject nodes. The management device may then dynamically select, using a machine learning model, a set of optimized observer nodes from the candidate list of potential observer nodes.