Abstract: Embodiments of this disclosure disclose a state monitoring apparatus and method for a wireless network. The method includes: collecting measurement parameters of a link to be monitored in the wireless network; calculating the collected measurement parameters to obtain statistical metrics of each measurement parameter; according to a predetermined change relationship between statistical metrics and possibilities of states, determining a possibility of each state reflected by each statistical metric; and performing fusion processing on the possibilities of states reflected by a plurality of statistical metrics of the link to be monitored, and determining a state of the link to be monitored. The network state may be efficiently monitored, and accuracy of the monitoring result may be improved.

Abstract: Embodiments of this disclosure provide an information transmission method and apparatus and electronic equipment. The information transmission method apparatus is used for transmitting a network topology information frame (TI frame) of network topology information, the apparatus including: a transmitting/receiving unit configured to transmit and/or receive a media access control (MAC) layer frame of a network protocol; the network topology information frame (TI frame) is loaded into a payload of the MAC layer frame. According to this disclosure, transmission modes of the network topology information may be made more flexible.

Abstract: Embodiments of this disclosure provide a node diagnosis apparatus and system.

Abstract: Embodiments of this disclosure provide an information transmission method and apparatus and electronic equipment. The information transmission method apparatus is used for transmitting a network topology information frame (TI frame) of network topology information, the apparatus including: a transmitting/receiving unit configured to transmit and/or receive a media access control (MAC) layer frame of a network protocol; the network topology information frame (TI frame) is loaded into a payload of the MAC layer frame. According to this disclosure, transmission modes of the network topology information may be made more flexible.

Abstract: Embodiments of this disclosure provide a node diagnosis apparatus and system.

Abstract: Embodiments of this disclosure provide an information aggregation method and apparatus and a system. the method includes: a requestor generates an aggregation request, the aggregation request comprising a source address, a destination address, a requested target device, requested information, and a requested aggregation action; wherein, the source address is an address of the requestor, and the destination address is an address of a receiver, there existing a security relationship between the requestor and the receiver; the requestor encrypts the aggregation request according to the security relationship between the requester and the receiver; and the requestor transmits the encrypted aggregation request to the receiver, and records the aggregation request in a request list. With the embodiments of this disclosure, information may be aggregated between mutually trusted devices in a secure manner. Hence, a device may aggregate information for an untrusted device without security concern.

Abstract: Embodiments of this disclosure provide a method and apparatus for evaluating node performance and a system. The method includes: real-time communication related information of a network node is collected; normalization on the test data within the predetermined period of time is performed by using preobtained best data vectors and worst data vectors, so as to obtain normalized multi-dimensional vectors of the test data within the period of time; and the normalized multi-dimensional vectors of the test data within the period of time is weighted, distance from the weighted normalized multi-dimensional vectors to the best data vectors is calculated, and a grade of the network node is determined according to the distance and a predefined monotonically decreasing function.

Abstract: Embodiments of this disclosure provide a parameter determination method, an interference classification and identification method and apparatuses thereof. Wherein, the interference classification and identification method includes: for Q moments, detecting K first network parameters at each moment, so as to obtain a third parameter sequence constituted by the K first network parameters at the Q moments; and respectively determining classes of interference states existing at the Q moments according to the third parameter sequence and a hidden Markov model. Furthermore, the embodiments provide a method for determining parameters in the above hidden Markov model. With the method of the embodiments, the parameters in the above hidden Markov model may be easily determined. Wherein, by simplifying a parameter sequence based on a threshold value, the parameter sequence is made to be a limited set, which may lower the complexity of determining the parameters in the hidden Markov model.

Abstract: Embodiments of this disclosure provide a trouble diagnosis method and apparatus and a system. The method includes: acquiring channel-related information on a coordinator and terminal equipment in communication with the coordinator; selecting multiple indices in the channel-related information, and calculating statistical values of the multiple indices in a predetermined period of time; and performing trouble diagnosis by using the statistical values and pre-stored training data, so as to obtain a trouble diagnosis result corresponding to the period of time.

Abstract: Embodiments of the present invention provide a trouble detecting apparatus and system. Wherein, the trouble detecting apparatus includes: a first acquiring unit configured to periodically acquire information relating to communication and/or a channel; a first counting unit configured to statistically calculate the acquired information, so as to obtain first statistic data; and a first detecting unit configured to perform trouble detection by using the first statistic data and prestored training data, so as to obtain a trouble detection result. With the apparatus and system of the embodiments, not only multiple possible communication troubles may be detected, but also the signaling overhead is relatively low, thereby achieving low complexity.