Abstract: In a wireless network with a plurality of access points, device calculates, for each wireless station in the network, a score based on at least an availability of the wireless network for the wireless station, combines the scores for the wireless stations into a current network score for a present configuration of the wireless network, calculates a plurality of predicted network scores corresponding to predicted network configurations with one wireless station moved to a different access point than in the present configuration, each predicted network score being a combination of the scores for wireless stations not moved in the predicted network configuration and a predicted score for the wireless station moved in the predicted network configuration, selects one of the current network score and the plurality of predicted network scores that satisfies a criterion; and, in case a predicted network score is selected.

Abstract: A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.

Abstract: To predict a first metric for a station in a wireless network, at least one hardware processor in a prediction device or at least one hardware processor in a first access point associated with the station, determines that a recent measurement of a second metric correlated with the first metric has hanged compared to a previous measurement of the second metric, the second metric for the station and measured by the first access point; and in case the second metric has changed, prediction of the first metric for the station is triggered. The first metric can be a signal strength of a signal received by the station from a second access point not associated with the station and the second metric a signal strength of a signal received by the first access point from the station.

Abstract: To predict a first metric for a station in a wireless network, at least one hardware processor in a prediction device or at least one hardware processor in a first access point associated with the station, determines that a recent measurement of a second metric correlated with the first metric has hanged compared to a previous measurement of the second metric, the second metric for the station and measured by the first access point; and in case the second metric has changed, prediction of the first metric for the station is triggered. The first metric can be a signal strength of a signal received by the station from a second access point not associated with the station and the second metric a signal strength of a signal received by the first access point from the station.

Abstract: System and techniques for a hierarchical resource constrained networks are described herein. Device participating in the network are divided into groups. These groups correspond to vertices in a routing graph. A leader is selected amongst the devices in each group to function as a routing node connecting to other vertices of the routing graph. Client devices attach to leaf vertices in the routing graph. To reduce overhead in placing devices into the routing pools, a distributed hash table (DHT) can be used. Here, the routing pools can be given DHT IDs based on, for example, a structure of the routing graph. Device DHT IDs are used to assign them to the routing pools based on a distance metric. Routing, in this arrangement, can use the DHT IDs to efficiently compute routing pool hops when routing messages. This arrangement works well for publication-subscription (pub-sub) services.

Abstract: To predict a first metric for a station in a wireless network, at least one hardware processor in a prediction device or at least one hardware processor in a first access point associated with the station, determines that a recent measurement of a second metric correlated with the first metric has hanged compared to a previous measurement of the second metric, the second metric for the station and measured by the first access point; and in case the second metric has changed, prediction of the first metric for the station is triggered. The first metric can be a signal strength of a signal received by the station from a second access point not associated with the station and the second metric a signal strength of a signal received by the first access point from the station.

Abstract: In a wireless network with a plurality of access points, device calculates, for each wireless station in the network, a score based on at least an availability of the wireless network for the wireless station, combines the scores for the wireless stations into a current network score for a present configuration of the wireless network, calculates a plurality of predicted network scores corresponding to predicted network configurations with one wireless station moved to a different access point than in the present configuration, each predicted network score being a combination of the scores for wireless stations not moved in the predicted network configuration and a predicted score for the wireless station moved in the predicted network configuration, selects one of the current network score and the plurality of predicted network scores that satisfies a criterion; and, in case a predicted network score is selected.

Abstract: To predict a first metric for a station in a wireless network, at least one hardware processor in a prediction device or at least one hardware processor in a first access point associated with the station, determines that a recent measurement of a second metric correlated with the first metric has changed compared to a previous measurement of the second metric, the second metric for the station and measure by the first access point; and in case the second metric has changed, prediction of the first metric for the station is triggered. The first metric can be a signal strength of a signal received by the station from a second point not associated with the station and the second metric a signal strength of a signal received by the first access point from the station.

Abstract: In a wireless network with a plurality of access points, device calculates, for each wireless station in the network, a score based on at least an availability of the wireless network for the wireless station, combines the scores for the wireless stations into a current network score for a present configuration of the wireless network, calculates a plurality of predicted network scores corresponding to predicted network configurations with one wireless station moved to a different access point than in the present configuration, each predicted network score being a combination of the scores for wireless stations not moved in the predicted network configuration and a predicted score for the wireless station moved in the predicted network configuration, selects one of the current network score and the plurality of predicted network scores that satisfies a criterion; and, in case a predicted network score is selected.

Abstract: A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.

Abstract: A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.

Abstract: In today's network management world, there are various solutions that collect data and presume to identify events impacting the QoE of the end-users. However, such solutions usually do not try to address the question of whether the end-users are actually impacted. These solutions usually look at certain types of known problems and try to detect if that problem exists in the end-user's network, and from that they conclude that the end-user might be impacted. The method according to an embodiment of the invention enables to proactively identify that an end-user is actually experiencing an event impacting the QoE in his home network. The proposed solution enables the detection of event affecting an end-user's network, regardless of the type of the network and without looking for specific issues. This knowledge may be a valuable asset of an Internet Service Provider which may fix issues quicker or mitigate end-users' dissatisfaction.

Abstract: A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.

Abstract: In today's network management world, there are various solutions that collect data and presume to identify events impacting the QoE of the end-users, However, such solutions usually do not try to address the question of whether the end-users are actually impacted. These solutions usually look at certain types of known problems and try to detect if that problem exists in the end-user's network, and from that they conclude that the end-user might be impacted, The method according to an embodiment of the invention enables to proactively identify that an end-user is actually experiencing an event impacting the QoE in his home network. The proposed solution enables the detection of event affecting an end-user's network, regardless of the type of the network and without looking for specific issues. This knowledge may be a valuable asset of an Internet Service Provider which may fix issues quicker or mitigate end-users' dissatisfaction.

Abstract: When a failure is detected of a communication link between a wireless access point and a service provider providing services to devices in proximity of said wireless access point, a probe request message is broadcasted on one or more wireless communication channels. The broadcasted probe request message includes a particular payload enabling the message to be identified as being a distress message reporting a failure of the communication link. Another wireless access point within wireless communication reach receiving a distress message may transfer a communication link failure report to the service provider in place of the wireless access point of which the communication link fails.

Abstract: In a wireless network with a plurality of access points, device calculates, for each wireless station in the network, a score based on at least an availability of the wireless network for the wireless station, combines the scores for the wireless stations into a current network score for a present configuration of the wireless network, calculates a plurality of predicted network scores corresponding to predicted network configurations with one wireless station moved to a different access point than in the present configuration, each predicted network score being a combination of the scores for wireless stations not moved in the predicted network configuration and a predicted score for the wireless station moved in the predicted network configuration, selects one of the current network score and the plurality of predicted network scores that satisfies a criterion; and, in case a predicted network score is selected.

Abstract: To predict a first metric for a station in a wireless network, at least one hardware processor in a prediction device or at least one hardware processor in a first access point associated with the station, determines that a recent measurement of a second metric correlated with the first metric has changed compared to a previous measurement of the second metric, the second metric for the station and measure by the first access point; and in case the second metric has changed, prediction of the first metric for the station is triggered. The first metric can be a signal strength of a signal received by the station from a second point not associated with the station and the second metric a signal strength of a signal received by the first access point from the station.

Abstract: An RSSI predictor in a wireless network with multiple Access Points obtains AP beacon transmission power, AP scan lists, distances between APs and a first distance between a station and its associated AP. If the first distance is above a threshold, the RSSI predictor calculates a predicted second distance between the station and a non-associated AP, uses the second distance to predict a corresponding signal strength and provides the predicted signal strength to a network controller that can perform handover based on the predicted signal strength.

Abstract: When a failure is detected of a communication link between a wireless access point and a service provider providing services to devices in proximity of said wireless access point, a probe request message is broadcasted on one or more wireless communication channels. The broadcasted probe request message includes a particular payload enabling the message to be identified as being a distress message reporting a failure of the communication link. Another wireless access point within wireless communication reach receiving a distress message may transfer a communication link failure report to the service provider in place of the wireless access point of which the communication link fails.

Abstract: In one embodiment, a data packet is received at a network device. A layer-2 identification (L2ID) value is identified for the received data packet based on a destination address and a label stack of the received data packet. The L2ID value is specific to an application associated with the data packet. A 6-tuple is created that includes the L2ID value. The received data packet is classified using the 6-tuple. Deep packet inspection (DPI) services are performed based on the classification of the received data packet. The DPI services apply a set of one or more application-level policies to the received data packet. The received data packet is forwarded from the network device toward a destination.