Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method includes selecting a node amongst nodes in a group of nodes to be processed, implementing a discovery procedure for the selected node, including broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network, receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered. Implementing a link probing procedure after the discovery procedure, including sending one or more link probing messages for a measure of link quality and receiving replies comprising data related to the measure of link quality.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method includes selecting a node amongst nodes in a group of nodes to be processed, implementing a discovery procedure for the selected node, including broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network, receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered. Implementing a link probing procedure after the discovery procedure, including sending one or more link probing messages for a measure of link quality and receiving replies comprising data related to the measure of link quality.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method comprises selecting a node amongst nodes in a group of nodes to be processed; and instructing to implement a discovery procedure for the selected node. The procedure comprises broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network; and receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed; and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method comprises selecting a node amongst nodes in a group of nodes to be processed; and instructing to implement a discovery procedure for the selected node. The procedure comprises broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network; and receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed; and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method comprises selecting a node amongst nodes in a group of nodes to be processed; and instructing to implement a discovery procedure for the selected node. The-procedure comprises broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network; and receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed; and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered.

Abstract: A method for transmitting data to and from nodes of a multi-hop network with a Time Division Multiple Access (TDMA) scheme is suggested. The network is clustered into N clusters, wherein each cluster of the N clusters has at least one of the nodes. In a first step, the TDMA scheme is organized by periodic superframes. Each superframe of the periodic superframes has a number of frames including at least one broadcast frame and one collection frame for the N clusters. In a second step, one dedicated communication channel is shared by the N clusters within the broadcast frame. In a third step, N separate communication channels are used by the N clusters within the collection frame.

Abstract: Methods and systems for discovery of a set of nodes in a network. The method comprises selecting a node amongst nodes in a group of nodes to be processed; and instructing to implement a discovery procedure for the selected node. The procedure comprises broadcasting a neighbor discovery request from a node currently selected on a shared transmission medium of the network; and receiving at the node currently selected replies sent by neighbor nodes on the shared transmission medium and adding the neighbor nodes to the group of nodes to be processed; and repeating the steps of selecting and instructing for other nodes in the group of nodes to be processed, until all nodes of the set are discovered.

Abstract: Methods and systems for discovery of a set of nodes (20, 30) in a network (165). The method comprises selecting (S11) a node (20) amongst nodes in a group of nodes to be processed; and instructing (S12) to implement a discovery procedure for the selected node. The procedure comprises broadcasting (S22) a neighbor discovery request from a node (20) currently selected on a shared transmission medium (1) of the network; and receiving (S23) at the node (20) currently selected replies sent (S34) by neighbor nodes on the shared transmission medium and adding (S13) the neighbor nodes to the group of nodes to be processed; and repeating (S14) the steps of selecting and instructing for other nodes (30) in the group of nodes to be processed, until all nodes of the set are discovered.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: A method for transmitting data to and from nodes of a multi-hop network with a TDMA scheme is suggested. The network is clustered into N clusters, wherein each cluster of the N clusters has at least one of the nodes. In a first step, the TDMA scheme is organized by periodic superframes. Each superframe of the periodic superframes has a number of frames including at least one broadcast frame and one collection frame for the N clusters. In a second step, one dedicated communication channel is shared by the N clusters within the broadcast frame. In a third step, N separate communication channels are used by the N clusters within the collection frame.

Abstract: The invention is directed to a method for monitoring vibrations to detect distinct vibration events in an acceleration waveform converted into acceleration samples. The method comprises: storing the acceleration samples as a sequence of acceleration frames into a cache memory (S110); detecting the presence or absence of a distinct vibration event in each of said acceleration frames (S160); in case of detecting a distinct vibration event in an acceleration frame, forwarding said acceleration frame from said cache memory to a long-term storage device (S170).

Abstract: Methods and systems for discovery of a set of nodes (20, 30) in a network (165). The method comprises selecting (S11) a node (20) amongst nodes in a group of nodes to be processed; and instructing (S12) to implement a discovery procedure for the selected node. The procedure comprises broadcasting (S22) a neighbor discovery request from a node (20) currently selected on a shared transmission medium (1) of the network; and receiving (S23) at the node (20) currently selected replies sent (S34) by neighbor nodes on the shared transmission medium and adding (S13) the neighbor nodes to the group of nodes to be processed; and repeating (S14) the steps of selecting and instructing for other nodes (30) in the group of nodes to be processed, until all nodes of the set are discovered.