Abstract: Nodes within a network are configured to communicate with one another on one or more television white space (TVWS) frequencies that may be subject to interference caused by nearby TV towers. In order to mitigate that interference, the nodes may be configured to communicate according to specific operating parameters. The operating parameters may be generated based on expected interference levels caused by the nearby TV towers or QOS metrics associated with available channels. The nodes may also update a private database to reflect the expected interference levels or measured QOS metrics for different channels.

Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

Abstract: A wireless mesh network includes heterogeneous types of nodes, including continuously-powered nodes and battery-powered nodes. The battery-powered nodes may reside in a sleeping state most of the time to conserve power. The various nodes in the network may communicate with one another by transmitting and receiving at scheduled times and on scheduled frequencies. The battery-powered nodes may become active during the scheduled transmit and receive times. Network management nodes may facilitate network formation by transmitting information that reflects the scheduled transmit and receive times across the network. Based on this data, the continuously-powered nodes and battery-powered nodes may establish communication links with one another.

Abstract: A wireless mesh network includes heterogeneous types of nodes, including continuously-powered nodes and battery-powered nodes. The battery-powered nodes may reside in a sleeping state most of the time to conserve power. The various nodes in the network may communicate with one another by transmitting and receiving at scheduled times and on scheduled frequencies. The battery-powered nodes may become active during the scheduled transmit and receive times. Network management nodes may facilitate network formation by transmitting information that reflects the scheduled transmit and receive times across the network. Based on this data, the continuously-powered nodes and battery-powered nodes may establish communication links with one another.

Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.

Abstract: A system comprises a first peer sensor tag configured to sense first sensor data using a first local sensor of the first peer sensor tag and a second peer sensor tag configured to sense second sensor data using a second local sensor of the second peer sensor tag while the second peer sensor tag is not within a communication range of the first peer sensor tag. The second peer sensor tag is configured to detect a first beacon signal of the first peer sensor tag, the first beacon signal including at least a portion of the first sensor data, the first beacon signal being transmitted according to a first network communication protocol. The second peer sensor tag is configured to obtain the at least a portion of the first sensor data from the first beacon signal. A base station is configured to detect a second beacon signal of the second peer sensor tag, the first beacon signal including the at least a portion of the first sensor data and at least a portion of the second sensor data.

Abstract: One embodiment of the present invention sets forth a technique for transmitting data in a listen before talk (LBT) wireless transmission regime. A digital radio receiver is configured to simultaneously receive and decode digital data transmissions from multiple radio channels. A digital radio transmitter is configured to listen to the multiple radio channels prior to transmitting digital data on a selected one of the multiple channels, based on locally determined channel occupancy. Optimal LBT efficiency is achieved within the set of multiple channels, thereby improving overall transmission efficiency between the transmitter and the receiver.

Abstract: A node within a wireless endpoint device may be coupled to multiple heterogeneous networks simultaneously. The node is configured to select between the different networks based on various constraints associated with the endpoint device, applications executing on the endpoint device, traffic routed by the endpoint device, and constraints associated with the multiple networks. Based on these different constraints, and based on the current operating mode of the node, the node rates each network, and then selects the network with the highest rating to be used for routing purposes.

Abstract: A system comprises a first peer sensor tag configured to sense first sensor data using a first local sensor of the first peer sensor tag and a second peer sensor tag configured to sense second sensor data using a second local sensor of the second peer sensor tag while the second peer sensor tag is not within a communication range of the first peer sensor tag. The second peer sensor tag is configured to detect a first beacon signal of the first peer sensor tag, the first beacon signal including at least a portion of the first sensor data, the first beacon signal being transmitted according to a first network communication protocol. The second peer sensor tag is configured to obtain the at least a portion of the first sensor data from the first beacon signal. A base station is configured to detect a second beacon signal of the second peer sensor tag, the first beacon signal including the at least a portion of the first sensor data and at least a portion of the second sensor data.

Abstract: A system comprises a first peer sensor tag configured to sense first sensor data using a first local sensor of the first peer sensor tag and a second peer sensor tag configured to sense second sensor data using a second local sensor of the second peer sensor tag while the second peer sensor tag is not within a communication range of the first peer sensor tag. The second peer sensor tag is configured to detect a first beacon signal of the first peer sensor tag, the first beacon signal including at least a portion of the first sensor data, the first beacon signal being transmitted according to a first network communication protocol. The second peer sensor tag is configured to obtain the at least a portion of the first sensor data from the first beacon signal. A base station is configured to detect a second beacon signal of the second peer sensor tag, the first beacon signal including the at least a portion of the first sensor data and at least a portion of the second sensor data.

Abstract: Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.

Abstract: One embodiment of the present invention sets forth a dual mode smart grid meter configured to operate within both an automatic meter reading (AMR) system and an advanced metering infrastructure (AMI) system. An AMR transmitter periodically transmits metrology data for interoperation with AMR reading operations. An AMI transceiver responds to AMI queries and commands for interoperation with AMI requirements. The disclosed dual mode smart grid meter beneficially enables utility operators to deploy or upgrade metering devices within an existing AMR network without disruption meter reading operations, while simultaneously preparing for an overall upgrade to reading operations based on AMI protocols.

Abstract: One embodiment of the present invention sets forth a technique for transmitting data in a frequency hopping spread spectrum (FHSS) wireless communication system. A multi-channel receiver is configured to receive data from one or more channels simultaneously. The multi-channel receiver enables efficient implementation of a transmission protocol in which multiple candidate nodes within a wireless mesh network are polled for availability to receive a packet of data. The packet of data is transmitted to one or more available nodes based on prevailing link conditions, thereby increasing the likelihood of successful delivery. Data flooding may be selectively implemented to further increase the likelihood of successful delivery.

Abstract: A wireless mesh network is configured to manage a power grid. Each node within the wireless mesh network is configured to detect and classify voltage fluctuations in power supplied by an upstream transformer coupled to the power grid. When a given node detects a particular type of fluctuation (i.e., an “event”), the node generates a timestamped event classification that reflects the type of event and a time when the event occurred. A server configured to manage the wireless mesh network receives timestamped event classifications from each node within the wireless mesh network and then performs a time correlation with the received timestamped event classifications to determine which nodes detected similar events. When two or more nodes detected the same event at similar times, the server determines that those nodes are coupled to the same transformer.

Abstract: One embodiment of the present disclosure sets forth a technique for convergence and automatic disabling of access points in a wireless mesh network. Specifically, an access point within a wireless mesh network computes one or more network metrics to determine whether the metrics are unfavorable or favorable. If the network metrics are favorable, then the access point disables the access point's network connection. An access point turns the network connection back on based on whether a routing was lost for at least a preset amount of time, utilization of one or more neighboring access points is above a preset value, or one or more network metrics have degraded by a certain percentage value. One advantage of this approach is that cost savings may be achieved when the number of access points dynamically changes to accommodate varying communications conditions.

Abstract: A node within a wireless endpoint device may be coupled to multiple heterogeneous networks simultaneously. The node is configured to select between the different networks based on various constraints associated with the endpoint device, applications executing on the endpoint device, traffic routed by the endpoint device, and constraints associated with the multiple networks. Based on these different constraints, and based on the current operating mode of the node, the node rates each network, and then selects the network with the highest rating to be used for routing purposes.

Abstract: One embodiment of the present invention sets forth a wireless communications system configured to efficiently operate within an arbitrarily and uniquely defined set of channels. Each one of the set of channels has an assigned digital radio transceiver instance configured to operate according to transmission requirements that are unique to the corresponding channel. A set of digital radio transceiver instances comprises a meta-transceiver, which enables communications to one or more other devices via one or more digital radio transceiver instances.

Abstract: A node within a wireless mesh network is configured to record a zero crossing of alternating current or alternating voltage drawn by a single-phase power consumer and a precise timestamp when the zero crossing occurred, thereby generating timestamped zero crossing data. The node receives similar zero crossing data from a neighboring node. The node then compares the timestamped zero crossing data with the received zero crossing data to determine whether the phase associated with the node is equivalent to, leads, or lags the phase associated with the neighboring node. The node then acquires a positive phase identification associated with the neighboring node. Based on the phase identification, and based on the phase difference between the two nodes, the node infers the phase associated with the single-phase power consumer. That phase indicates the specific power line within a three-phase power distribution network to which the single-phase power consumer is coupled.

Abstract: One embodiment of the present invention sets forth a technique for transmitting data in a frequency hopping spread spectrum (FHSS) wireless communication system. A multi-channel receiver is configured to receive data from one or more channels simultaneously. The multi-channel receiver enables efficient implementation of a transmission protocol in which multiple candidate nodes within a wireless mesh network are polled for availability to receive a packet of data. The packet of data is transmitted to one or more available nodes based on prevailing link conditions, thereby increasing the likelihood of successful delivery. Data flooding may be selectively implemented to further increase the likelihood of successful delivery.