JP2019009775A - State monitor of wireless network, method, and network system - Google Patents

Abstract

To provide a state monitor of a wireless network, a method, and a network system.SOLUTION: A state monitor of a wireless network, comprises; a collection part that collects measurement data of a link to be monitored in the wireless network; a calculation part that calculates a plurality of parameters of the link to be monitored on the basis of the measurement data; a first determination part that determines possibility of each state of each parameter on the basis of each parameter for each parameter of the plurality of parameters; a fusion part that executes a fusion processing in response to the possibility of each state of the plurality of parameters, and acquires the possibility of each state of the link to be monitored; and a second determination part that determines the state of the link to be monitored on the basis of the possibility of each state of the link to be monitored.SELECTED DRAWING: Figure 3

Description

  The present invention relates to the field of communication technology, and more particularly, to a state monitoring apparatus and method for a wireless network, and a network system.

  The Internet of Things (IoT) has become a powerful force for business transformation, and has a strong influence on each industry and each field of society. Entities in IoT generally include sensor devices, gateways, networks, clouds and applications. With the continued development of technology and the increasing dependence on short-range wireless networks such as wireless network (WIFI), wireless personal area network (Zigbee), Bluetooth (Bluetooth) Seeking performance, expandability and wide coverage. However, existing sensor network deployments do not provide sufficient coverage and predictable performance. The causes of performance degradation include high density deployment, noise and interference, RF effects such as hidden terminals, and media access control (MAC) layer limitations. Unlike wired networks, wireless links are susceptible to environmental changes and surrounding wireless activity. Link level and network level status detection and fault diagnosis are an important part of IoT operation.

  The above description of the technical background is an explanation for making the technical solution of the present invention clear and complete, and is described for the purpose of understanding those skilled in the art. These technical solutions are merely described as background art portions of the present invention, and are not well known by those skilled in the art.

  According to the discovery of the inventors of the present invention, among these troubles (faults, faults) or errors (errors), the most common and frequent ones are troubles or errors related to wireless transmission. These obstacles or errors are generally due to random attenuation, low received signal strength and interference. These root causes are very common in all short-range wireless networks. Also, 802.11, 802.15.4, 802.15.1, etc. all operate in the unlicensed band, multiple systems interfere with each other, and the number of users in the unlicensed band is rapidly increasing As it increases, problems such as interference become more prominent. Also, interference is unpredictable because it is due to mobile users, other unlicensed band modules and traffic changes. Therefore, real-time status monitoring and automatic fault diagnosis are very important for efficient operation and management services.

  The embodiment of the present invention performs a fusion process on the possibility of each state of a plurality of parameters, acquires the possibility of each state of the link to be monitored, and determines the state of the link to be monitored, Provided are a wireless network state monitoring apparatus and method, and a network system, which can effectively monitor a network state, have low implementation complexity, and have almost no new signaling overhead.

  According to a first aspect of the embodiment of the present invention, there is provided a state monitoring device for a wireless network, the collecting means for collecting measurement data of the link to be monitored in the wireless network, and the link to be monitored based on the measurement data. Calculation means for calculating a plurality of parameters, first determination means for determining the possibility of each state of each parameter based on the parameter, for each parameter of the plurality of parameters, and each state of the plurality of parameters A fusion means for performing a fusion process on the possibility and obtaining a possibility of each state of the link to be monitored; and a state of the link to be monitored based on the possibility of each state of the link to be monitored And a second determining means for determining.

  According to a second aspect of the embodiment of the present invention, there is provided a wireless network state monitoring method for collecting measurement data of links to be monitored in the wireless network, and a plurality of the links to be monitored based on the measurement data. Calculating each parameter of the plurality of parameters, determining each possibility of each state of each parameter based on the parameter, and each possibility of each state of the plurality of parameters. Performing a fusion process to obtain the possibility of each state of the link to be monitored; determining the state of the link to be monitored based on the possibility of each state of the link to be monitored; Providing a method.

  According to a third aspect of an embodiment of the present invention, there is provided a terminal device, a network node or a station including the apparatus according to the first aspect of the embodiment of the present invention.

  According to a fourth aspect of the embodiment of the present invention, there is provided a network system including a terminal device, a network node or a station, and an access point, wherein the terminal device, the network node or the station measures a link to be monitored in a wireless network. Collecting data, calculating a plurality of parameters of the link to be monitored based on the measurement data, and transmitting the plurality of parameters to the access point, the access point for each parameter of the plurality of parameters, The possibility of each state of each parameter is determined based on the parameter, the fusion process is performed on the possibility of each state of the plurality of parameters, and the possibility of each state of the link to be monitored is acquired. , Based on the possibility of each state of the link to be monitored, Determining the state of the link to be viewed, to provide a network system.

  According to a fifth aspect of the embodiment of the present invention, there is provided a network system including a terminal device, a network node or a station, an access point, a router, a gateway, a central control device or a cloud, wherein the terminal device, the network node or the station Collecting measurement data of a link to be monitored in a wireless network, calculating a plurality of parameters of the link to be monitored based on the measurement data, transmitting the plurality of parameters to the access point, and Transmits the plurality of parameters to the router, gateway, central control device or cloud, and the router, gateway, central control device or cloud transmits each parameter of the plurality of parameters based on the parameter. Each state Each of the states of the plurality of parameters is subjected to a fusion process, the possibility of each state of the link to be monitored is obtained, and each state of the link to be monitored is obtained. A network system is provided for determining the state of the link to be monitored based on the possibility.

  As an effect of the present invention, by performing a fusion process on the possibility of each state of a plurality of parameters, acquiring the possibility of each state of the link to be monitored, and determining the state of the link to be monitored, Network status can be effectively monitored, implementation complexity is low, and there is little new signaling overhead.

  Certain embodiments of the present invention are disclosed in detail and illustrate the manner in which the principles of the present invention can be employed, as illustrated in the following description and drawings. The embodiment of the present invention is not limited in scope. The embodiments of the present invention include various alterations, modifications, and equivalents within the scope and spirit of the appended claims.

  Features described and / or shown in one embodiment may be used in one or many other embodiments in the same or similar manner, and may be combined with features in other embodiments, Features in other embodiments may be substituted.

  As used herein, the term “inclusive / include” means the presence of a feature, element, step or component, and the presence or absence of one or more other features, elements, steps or components. It does not exclude the addition.

The drawings included herein are for the purpose of understanding the embodiments of the present invention, constitute part of the present specification, illustrate the embodiments of the present invention, and are combined with the description of the words. The principle of the present invention will be described. Note that the drawings described here are merely illustrative of embodiments of the present invention, and those skilled in the art can easily obtain other drawings based on these drawings.
It is a figure which shows the general purpose structure of an IoT front end management system. It is a figure which shows the state monitoring method of the wireless network of Example 1 of this invention. It is a figure which shows the state monitoring apparatus of the wireless network of Example 2 of this invention. It is a figure which shows the structure of the one aspect | mode of the terminal device of Example 3 of this invention, a network node, or a station. It is a figure which shows the network system of Example 4 of this invention. It is a figure which shows the network system of Example 5 of this invention.

  These and other features of the present invention can be understood from the drawings and the following description. The specification and drawings disclose certain embodiments of the invention, i.e., some embodiments that follow the principles of the invention. Note that the present invention is not limited to the described embodiments, and the present invention includes all modifications, changes, and equivalents within the scope of the claims.

  Embodiments of the present invention may be applied to various wireless networks, such as IoT, sensor networks, wireless local area networks (WLANs), and other wireless networks. In the embodiment of the present invention, terms in the IoT scenario are used for convenience of explanation, and terms related to the specification are based on the IEEE 802.15.4 standard. This idea can be easily applied to other wireless communication systems and other wireless standards.

  FIG. 1 is a diagram showing a general-purpose configuration of an IoT front-end management system. As shown in FIG. 1, the gateway (GW) supports the connection from the front-end connection device to the back-end application analysis. Specifically, the front-end devices of various applications and various network systems have different management requirements, and the gateway is a general-purpose application program interface for different devices, network clouds, and users so as to satisfy user application requirements. (API). After front-end devices (including access points (AP), hubs (HUB), routers (ROUTER), etc.) collect transceiver logs, these logs are sent to the gateway. Depending on the application requirements and the complexity of the analysis, the access point, gateway, central control unit or cloud performs processing such as data fusion.

  The following describes embodiments of the present invention with reference to the drawings and specific embodiments.

<Example 1>
FIG. 2 is a diagram showing a wireless network state monitoring method according to the first embodiment of the present invention. As shown in FIG. 2, the method includes the following steps.

  Step 201: Collect measurement data of links to be monitored in a wireless network.

  Step 202: Calculate a plurality of parameters of the link to be monitored based on the measurement data.

  Step 203: For each parameter of the plurality of parameters, the possibility of each state of each parameter is determined based on the parameter.

  Step 204: Perform a fusion process on the possibility of each state of the plurality of parameters to obtain the possibility of each state of the link to be monitored.

  Step 205: Based on the possibility of each state of the link to be monitored, the state of the link to be monitored is determined.

  According to the above-described embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be effectively monitored, implementation complexity is low, and there is little new signaling overhead.

  In this embodiment, the wireless network may be various wireless networks such as IoT, sensor network, wireless local area network (WLAN), and other wireless networks. Further, the present embodiment is not limited to the configuration of the wireless network.

  In this embodiment, the link to be monitored in the wireless network may be any link that needs to be monitored in the wireless network, for example a communication link between two stations. In this embodiment, a communication link between two stations will be described as an example of a link to be monitored.

  In this embodiment, the measurement data is for calculating a plurality of parameters in step 202, that is, the collection of measurement data may be determined based on a plurality of predetermined parameters.

  In steps 201 to 205, the measurement data may be collected according to a predetermined period, a plurality of parameters may be calculated, and the state of the link to be monitored may be determined, or the transmission packet transmitted in the link to be monitored Based on the number, the measurement data may be collected, a plurality of parameters may be calculated, and a period for determining the state of the link to be monitored may be set.

  In the present embodiment, the period set based on the predetermined period or the number of transmission packets may be referred to as a “diagnosis period”.

  For example, after starting the network or receiving an instruction, collect measurement data according to a predetermined period, calculate multiple parameters, determine the state of the link to be monitored, and the period is set according to the actual demand Also good.

  For example, after starting the network or receiving an instruction, collection of measurement data is started, and the number of transmission packets transmitted on the link to be monitored is counted. For example, the station on one end of the transmission link transmits or receives the transmitted packets. Count. When the total number of transmission packets transmitted on the link to be monitored reaches a predetermined threshold, a plurality of parameters are calculated based on the collected measurement data, and the state of the link to be monitored is determined. After step 205 is completed, the transmission packet count is reset to 0 and the next diagnostic period is entered.

  In step 202, a plurality of parameters of the link to be monitored are calculated based on the measurement data. In the present embodiment, the plurality of parameters may include a parameter representing the state of each layer of the network, whereby the state of the entire network can be reflected from different viewpoints, and the monitoring result becomes more accurate.

  For example, the plurality of parameters include packet loss rate, retransmission rate, channel busy ratio or channel usage rate, received signal strength indicator (RSSI) value of all received data frames and acknowledgment frames (ACK) , Average deviation of received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames, average value of link quality indicator (LQI) values of all received data frames and acknowledgment frames, all received It may include at least two of a standard deviation of link quality indicator (LQI) values of data frames and acknowledgment frames, and response times.

  For example, the packet loss rate is a packet loss rate of a transmission packet on a link to be monitored, and may be extracted from the transmission state field. For example, a non-zero state represents a packet loss. The retransmission rate means a ratio of transmission packets retransmitted in the link to be monitored to the total number of transmission packets. The channel busy ratio means the ratio of the number of times the channel busy is returned to the total number of transmission packets. The channel usage rate means a rate of time detected by the access point (AP) that the medium is in a busy state according to an instruction of a physical or virtual carrier monitoring mechanism. The response time means the time from data transmission to ACK reception.

  In this embodiment, the plurality of parameters may be set according to the actual state of the network. For example, the parameters may be selected based on the current number of transmission packets. For example, if the number of transmission packets sent in the current period is very small or if no transmission packets were sent, the packet loss rate, retransmission rate and response time are invalidated and other data fusion A parameter may be selected.

  In step 203, for each parameter of the plurality of parameters, the possibility of each state of each parameter is determined based on the parameter.

  In this embodiment, each state may include each possible state of the link to be monitored, for example, a normal state (Normal), a shielding state (Shield), and an interference state (Interference).

  For example, the normal state indicates that there is no environmental change within this period and the channel state is very stable. In this state, there is almost no packet loss, no retransmission, and changes in RSSI and LQI between different packets are very small.

  The shielding is due to a block or shielding between the transmitter and the receiver. For example, in the outdoor area, large obstacles such as cars produce a blockage effect (due to transmission or diffraction loss). In indoor areas, a person standing between a transmitter and a receiver may produce a similar effect. In such a case, the RSSI is lowered as the most obvious feature. In some cases, retransmission and packet loss increase, which depends on the degree of signal strength degradation.

  Interference is another important type of error. Since the ISM band, for example, the 2.4 GHz band, is used in many technologies, this band is very crowded. The interference is due to adjacent 802.11 networks, zigbee, Bluetooth or microwave ovens. When interference occurs, the signal-to-interference and noise ratio (SINR) values decrease, increasing the probability of error. LQI is an index indicating the SINR of input data. Thus, the LQI reduction, the packet loss rate, and the retransmission rate are indicators that appropriately indicate the presence of interference.

  In step 203, for each parameter of the plurality of parameters, the possibility of each state of each parameter is determined based on the parameter, and the specific method may refer to the prior art.

  For example, it may be acquired by methods such as experiments, administrator rules, automatic algorithms, data training, etc., and the data for training is collected in advance in different states and manually generated by generating various impressive errors It may be trained or automatically trained by an online training method.

  In step 204, a fusion process is performed on the possibility of each state of the plurality of parameters to obtain the possibility of each state of the link to be monitored.

  For example, based on the weights of a plurality of parameters, the fusion process may be performed on the possibility of each state of the plurality of parameters. The weights of the plurality of parameters may be set according to the actual situation. For example, the respective weights may be determined based on factors such as importance and relevance of each parameter.

  Accordingly, the accuracy of the fusion result can be further improved by performing the fusion process with the weight set.

  In this embodiment, the fusion processing may refer to a conventional data fusion method, for example, classifier fusion, D-S (Dempster-Shafer) algorithm fusion. By performing the fusion using the DS algorithm, the accuracy of the fusion result can be further improved. In this embodiment, the DS algorithm will be described as an example.

For the state of the link to be monitored, the recognition framework includes a normal state N (Normal), a shielding state S (Shield) and an interference state I (Interference), ie the recognition framework Θ has three results {S, I, Suppose we have N}. The number of all subsets of the identification framework Θ, ie the number of all hypotheses, is 2 ^Θ = {S, I, N, {S | N}, {I | N}, {S | I}, {S | I | N},
(Outside 1)
}, Where {S | N}, {I | N}, {S | I}, {S | I | N} represent indeterminate states, whereby all assumptions are represented in {S, I, N, U,
(Outside 2)
U represents an indeterminate state. Each hypothesis corresponds to the possibility of one state, a value in the range [0, 1], and the sum of the possibilities of all states is 1.

In this embodiment, the fusion result of two parameters may be calculated using the following equation (1).

Here, m ₁₂ (A) represents the possibility of each state after the fusion of parameter 1 and parameter 2, m ₁ (B) represents the possibility that the state of parameter 1 is B, and m ₂ (C) is The state of parameter 2 represents the possibility of C.

For example, when performing a fusion process on the possibility of each state of two parameters, parameter 1 is the average value rssiAvg of the received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames (ACK). Suppose that parameter 2 is the average lqiAvg of the link quality indicator (LQI) values of all received data frames and acknowledgment frames, where m ₁ ({S}) = 0.1, m ₁ ( {I}) = 0.1, m ₁ ({N}) = 0.4, m ₁ ({U}) = 0.4, m ₂ ({S}) = 0.2, m ₂ ({I }) = 0.4, m ₂ ({N}) = 0.1, m ₂ ({U}) = 0.3.

The fusion results obtained after performing the fusion process according to the above equation (1) are m ₁₂ ({S}) = 0.19, m ₁₂ ({I}) = 0.34, m ₁₂ ({N}) = 0.29, m ₁₂ ({U}) = 0.18.

In this embodiment, when data of three or more parameters are merged, they may be merged sequentially. For example, when fusing the possibility of each state of three parameters, m ₁₂₃ (A) = m ₁ (B)
(Outside 3)
m ₂ (C)
(Outside 4)
m ₃ (D) or m ₁₂₃ (A) = m ₁₂ (B)
(Outside 5)
m ₃ (C) or m ₁₂₃ (A) = m ₁ (B)
(Outside 6)
m ₂₃ (C) may be used. Since the method for merging the two parameters may be similar to the above formula (1), the description thereof is omitted here.

  Step 205: Based on the possibility of each state of the link to be monitored, the state of the link to be monitored is determined. For example, the most likely state may be determined as the current state of the link to be monitored.

For example, according to the above fusion result, m ₁₂ ({I}) = 0.34 is the maximum, that is, interference state I is most likely, so the current state of the link to be monitored is interference. It is considered a state.

  In the present embodiment, the execution subject of each step may be determined according to application requirements and analysis complexity.

  For example, any of steps 201 to 205 may be executed by a terminal device, a network node, or a station.

  For example, steps 201 to 202 are executed by a terminal device, a network node or a station, and the terminal device, network node or station transmits a plurality of parameters calculated in step 202 to the access point, and steps 203 to 205 are executed by the access point. May be executed.

  Further, for example, steps 201 to 202 are executed by a terminal device, a network node or a station, and the terminal device, network node or station transmits a plurality of parameters calculated in step 202 to the access point, and the access point The parameters are transferred to the router, gateway, central controller or cloud, and steps 203-205 may be performed by the router, gateway, central controller or cloud.

  Thus, by determining the execution subject of each step according to the application demand and the complexity of the analysis, the configuration can be flexibly performed, and the performance of the entire network can be ensured.

  According to the above embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be monitored effectively, implementation complexity is low, and there is almost no new signaling overhead.

<Example 2>
The second embodiment provides a state monitoring device for a wireless network. Since the principle of problem solving of the apparatus is similar to the method of the first embodiment, the specific implementation may refer to the implementation of the method of the first embodiment, and a duplicate description will be omitted.

  FIG. 3 is a diagram showing a wireless network status monitoring apparatus according to the second embodiment of the present invention. As illustrated in FIG. 3, the wireless network state monitoring apparatus 300 includes a collection unit 301, a calculation unit 302, a first determination unit 303, a fusion unit 304, and a second determination unit 305.

  The collection unit 301 collects measurement data of links to be monitored in the wireless network.

  The calculation unit 302 calculates a plurality of parameters of the link to be monitored based on the measurement data.

  The first determination unit 303 determines the possibility of each state of each parameter based on the parameter for each parameter of the plurality of parameters.

  The fusion unit 304 performs fusion processing on the possibility of each state of the plurality of parameters, and acquires the possibility of each state of the link to be monitored.

  The second determination unit 305 determines the state of the link to be monitored based on the possibility of each state of the link to be monitored.

  In the present embodiment, the state monitoring device 300 may collect measurement data according to a predetermined period, calculate a plurality of parameters, determine the state of the link to be monitored, or transmit on the link to be monitored. Based on the number of transmitted packets, the measurement data may be collected, a plurality of parameters may be calculated, and a period for determining the state of the link to be monitored may be set.

  In the present embodiment, the fusion unit 304 may perform fusion processing on the possibility of each state of a plurality of parameters using the DS algorithm.

  In the present embodiment, the merging unit 304 may perform the merging process on the possibility of each state of the plurality of parameters based on the weights of the plurality of parameters.

  In the present embodiment, the plurality of parameters include packet loss rate, retransmission rate, channel busy rate or channel usage rate, received signal strength indicator (RSSI) value of all received data frames and acknowledgment frames (ACK). Average value, standard deviation of received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames, average value of link quality indicator (LQI) values of all received data frames and acknowledged frames, all received data It may include at least two of a standard deviation of link quality indicator (LQI) values of frames and acknowledgment frames, and response times.

  According to the above embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be monitored effectively, implementation complexity is low, and there is almost no new signaling overhead.

<Example 3>
The embodiment of the present invention further provides a terminal device, a network node, or a station including the wireless network state monitoring device described in the second embodiment.

  FIG. 4 is a diagram showing a configuration of one aspect of a terminal device, a network node, or a station according to an embodiment of the present invention. As shown in FIG. 4, the terminal device, network node or station 400 may include a processing device (CPU) 410 and a storage device 420, and the storage device 420 is connected to the processing device 410. It should be noted that the figure is merely exemplary, and other types of configurations may be used or supplemented or substituted to implement telecommunications functions or other functions.

  In one aspect, the function of the wireless network state monitoring device described in the second embodiment may be integrated into the processing device 410. Here, the processing device 410 may realize the function of the state monitoring device described in the first embodiment. For example, the processing unit 410 collects measurement data of the link to be monitored in the wireless network, calculates a plurality of parameters of the link to be monitored based on the measurement data, and for each parameter of the plurality of parameters, based on the parameter Determine the possibility of each state of each parameter, perform fusion processing for each state possibility of multiple parameters, obtain the possibility of each state of the link to be monitored, and each of the links to be monitored Based on the status possibility, it may be configured to determine the status of the link to be monitored.

  For example, collecting the measurement data according to a predetermined period, calculating a plurality of parameters, determining the state of the link to be monitored, or measuring data based on the number of transmission packets transmitted on the link to be monitored May be set, a plurality of parameters may be calculated, and a period for determining the state of the link to be monitored may be set.

  For example, the step of performing the fusion process on the possibility of each state of the plurality of parameters may include the step of performing the fusion process on the possibility of each state of the plurality of parameters using the DS algorithm. .

  For example, the step of performing the fusion process on the possibility of each state of the plurality of parameters includes the step of performing the fusion process on the possibility of each state of the plurality of parameters based on the weights of the plurality of parameters. But you can.

  In another aspect, the wireless network state monitoring device described in the second embodiment may be configured with the processing device 410, for example, the wireless network state monitoring device described in the second embodiment is connected to the processing device 410. The wireless network status monitoring device described in the second embodiment may be realized under the control of the processing device 410.

  In addition, as illustrated in FIG. 4, the terminal device, the network node, or the station 400 may further include a communication module 430, an input unit 440, a display 450, and a power source 460. Note that the terminal device, the network node, or the station 400 need not include all the units shown in FIG. In addition, the terminal device, the network node, or the station 400 may further include a unit not shown in FIG. 4 and may refer to the prior art.

  As shown in FIG. 4, the processing device 410 is also referred to as a controller or an operation control unit, and may include a microprocessor or other processing device and / or a logic device. The processing device 410 receives an input, a terminal device, The operation of each part of the network node or station 400 is controlled.

  Here, the storage device 420 may be, for example, one or more of a buffer, a flash memory, a hard disk, a movable medium, a demonstrative memory, a non-expensive memory, or other suitable device. Information regarding the failure may be stored, or a program for executing related information may be further stored. Further, the processing device 410 may execute a program stored in the storage device 420 to realize information storage or processing. Since other members are similar to those of the prior art, description thereof is omitted here. Each unit of the terminal device, the network node, or the station 400 may be realized by specific hardware, firmware, software, or a combination thereof without departing from the scope of the present invention.

  According to the above embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be monitored effectively, implementation complexity is low, and there is almost no new signaling overhead.

<Example 4>
The embodiment of the present invention further provides a network system including a terminal device, a network node or a station, and an access point. FIG. 5 is a diagram showing a network system according to the fourth embodiment of the present invention. As shown in FIG. 5, the network system 500 includes a terminal device, a network node or station 501, and an access point 502.

  The terminal device, network node or station 501 collects measurement data of the link to be monitored in the wireless network, calculates a plurality of parameters of the link to be monitored based on the measurement data, and transmits the plurality of parameters to the access point Configured to do.

  For each parameter of the plurality of parameters, the access point 502 determines the possibility of each state of each parameter based on the parameter, performs a fusion process on the possibility of each state of the plurality of parameters, It is configured to obtain a possibility of each state of the link to be monitored and to determine a state of the link to be monitored based on the possibility of each state of the link to be monitored.

  In the present embodiment, the above functions realized by the terminal device, the network node or station 501, and the access point 502 may refer to the implementation of the method of the first embodiment, and the description thereof is omitted here.

  According to the above embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be monitored effectively, implementation complexity is low, and there is almost no new signaling overhead.

<Example 5>
The embodiments of the present invention further provide a network system including a terminal device, a network node or station, an access point, a router, a gateway, a central control device, or a cloud. FIG. 6 is a diagram showing a network system according to the fifth embodiment of the present invention. As shown in FIG. 6, the network system 600 includes a terminal device, a network node or station 601, an access point 602, and a router, gateway, central control device or cloud 603.

  The terminal device, network node, or station 601 collects measurement data of the link to be monitored in the wireless network, calculates a plurality of parameters of the link to be monitored based on the measurement data, and sets the plurality of parameters to the access point. Configured to transmit.

  The access point 602 is configured to send the plurality of parameters to the router, gateway, central controller or cloud.

  The router, gateway, central control device, or cloud 603 determines the possibility of each state of each parameter based on the parameter for each parameter of the plurality of parameters, and determines the possibility of each state of the plurality of parameters. It is configured to perform a fusion process on the network, obtain a possibility of each state of the link to be monitored, and determine a state of the link to be monitored based on the possibility of each state of the link to be monitored. .

  In the present embodiment, the above functions realized by the terminal device, the network node or station 601, the access point 602, and the router, gateway, central control device, or cloud 603 may refer to the implementation of the method of the first embodiment. The description is omitted here.

  According to the above embodiment, the fusion process is performed on the possibility of each state of a plurality of parameters, the possibility of each state of the link to be monitored is acquired, and the state of the link to be monitored is determined. Network status can be monitored effectively, implementation complexity is low, and there is almost no new signaling overhead.

  According to an embodiment of the present invention, when a program is executed in a wireless network state monitoring apparatus, the computer causes the wireless network state monitoring apparatus to execute the wireless network state monitoring method described in the first embodiment. Further provided is a readable program.

  The embodiment of the present invention further provides a storage medium for storing a computer-readable program for causing a computer to execute the wireless network state monitoring method described in the first embodiment in the wireless network state monitoring apparatus. .

  The wireless network state monitoring method executed in the wireless network state monitoring apparatus described with reference to the embodiments of the present invention may be implemented by hardware, a software module executed by a processor, or a combination of both. . For example, one or more of the functional block diagrams shown in FIG. 3 or one or more combinations of the functional block diagrams may correspond to each software module of the computer program flow, and may correspond to each hardware module. May correspond. These software modules may correspond to the respective steps shown in FIG. These hardware modules may be realized by hardwareizing these software modules using, for example, a field programmable gate array (FPGA).

  A software module may be located in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, mobile hard disk, CD-ROM, or any other form of storage medium known to those skilled in the art. The processor may be connected to the processor so that the processor reads information from or writes information to the storage medium, or the storage medium may be a component of the processor. The processor and the storage medium are located in the ASIC. The software module may be stored in the memory of the mobile terminal or may be stored in a memory card inserted in the mobile terminal. For example, when a device (eg, a mobile terminal) uses a relatively large capacity MEGA-SIM card or a large capacity flash memory device, the software module is stored in the MEGA-SIM card or the large capacity flash memory device. Also good.

  One or more functional blocks and / or one or more combinations of functional blocks in the functional block diagram depicted in FIG. 3 may be a general purpose processor, digital signal processor (for performing the functions described herein) DSP, application specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, or any suitable combination thereof May be. One or more functional blocks and / or one or more combinations of functional blocks in the functional block diagram depicted in FIG. 3 may be, for example, a combination of computing devices, such as a combination of a DSP and a microprocessor, A combination of processors, one or more microprocessors combined with DSP communications, or any other configuration may be implemented.

  Although the present invention has been described above with reference to specific embodiments, the above description is merely illustrative and does not limit the scope of protection of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and principle of the present invention, and these changes and modifications are also within the scope of the present invention.

Moreover, the following additional remarks are disclosed regarding the embodiment including the above-described examples.
(Appendix 1)
A wireless network status monitoring device,
A collection means for collecting measurement data of links to be monitored in a wireless network;
Calculating means for calculating a plurality of parameters of the link to be monitored based on the measurement data;
First determination means for determining the possibility of each state of each parameter based on the parameter for each parameter of the plurality of parameters;
Fusing means for performing a fusing process on the possibility of each state of the plurality of parameters and acquiring the possibility of each state of the link to be monitored;
2nd determination means which determines the state of the said link to be monitored based on the possibility of each state of the said link to be monitored.
(Appendix 2)
The state monitoring device
Collecting the measurement data according to a predetermined period, calculating the plurality of parameters, determining the state of the link to be monitored, or
Appending the measurement data based on the number of transmission packets transmitted on the link to be monitored, calculating the plurality of parameters, and setting a period for determining the state of the link to be monitored The apparatus according to 1.
(Appendix 3)
The apparatus according to claim 1, wherein the fusion unit performs a fusion process on the possibility of each state of the plurality of parameters using a DS algorithm.
(Appendix 4)
The apparatus according to claim 1, wherein the fusion unit performs a fusion process on the possibility of each state of the plurality of parameters based on weights of the plurality of parameters.
(Appendix 5)
The plurality of parameters are:
Packet loss rate,
Resend rate,
Channel busy rate or channel usage rate,
The average value of the received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames (ACK);
The standard deviation of the received signal strength indicator (RSSI) value of all received data frames and acknowledgment frames,
The average of link quality indicator (LQI) values of all received data frames and acknowledgment frames;
The apparatus of claim 1, comprising at least two of a standard deviation of link quality indicator (LQI) values of all received data frames and acknowledgment frames, and a response time.
(Appendix 6)
A terminal device, a network node, or a station including the device according to attachment 1.
(Appendix 7)
A network system including a terminal device, a network node or a station, and an access point,
The terminal device, network node or station is
Collect measurement data for links to be monitored in wireless networks,
Calculating a plurality of parameters of the link to be monitored based on the measurement data;
Sending the plurality of parameters to the access point;
The access point is
For each parameter of the plurality of parameters, determine the possibility of each state of each parameter based on the parameter,
Performing a fusion process on each state possibility of the plurality of parameters, obtaining a possibility of each state of the link to be monitored,
A network system that determines a state of the link to be monitored based on a possibility of each state of the link to be monitored.
(Appendix 8)
A network system including a terminal device, a network node or station, an access point, a router, a gateway, a central control device, or a cloud,
The terminal device, network node or station is
Collect measurement data for links to be monitored in wireless networks,
Calculating a plurality of parameters of the link to be monitored based on the measurement data;
Sending the plurality of parameters to the access point;
The access point is
Sending the plurality of parameters to the router, gateway, central controller or cloud;
The router, gateway, central controller or cloud is
For each parameter of the plurality of parameters, determine the possibility of each state of each parameter based on the parameter,
Performing a fusion process on each state possibility of the plurality of parameters, obtaining a possibility of each state of the link to be monitored,
A network system that determines a state of the link to be monitored based on a possibility of each state of the link to be monitored.
(Appendix 9)
A wireless network status monitoring method comprising:
Collecting measurement data of links to be monitored in a wireless network;
Calculating a plurality of parameters of the link to be monitored based on the measurement data;
For each parameter of the plurality of parameters, determining each possibility of each state of each parameter based on the parameter;
Performing a fusion process on each state possibility of the plurality of parameters, and obtaining each state possibility of the link to be monitored;
Determining the state of the link to be monitored based on the likelihood of each state of the link to be monitored.
(Appendix 10)
Collecting the measurement data according to a predetermined period, calculating the plurality of parameters, determining the state of the link to be monitored, or
Appending the measurement data based on the number of transmission packets transmitted on the link to be monitored, calculating the plurality of parameters, and setting a period for determining the state of the link to be monitored 9. The method according to 9.
(Appendix 11)
The step of performing the fusion process on the possibility of each state of the plurality of parameters includes:
The method according to claim 9, further comprising performing a fusion process on each state possibility of the plurality of parameters using a DS algorithm.
(Appendix 12)
The step of performing the fusion process on the possibility of each state of the plurality of parameters includes:
The method according to claim 9, further comprising the step of performing a fusion process on each state possibility of the plurality of parameters based on the weights of the plurality of parameters.
(Appendix 13)
The plurality of parameters are:
Packet loss rate,
Resend rate,
Channel busy rate or channel usage rate,
The average value of the received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames (ACK);
The standard deviation of the received signal strength indicator (RSSI) value of all received data frames and acknowledgment frames,
The average of link quality indicator (LQI) values of all received data frames and acknowledgment frames;
The method of claim 9, comprising at least two of a standard deviation of link quality indicator (LQI) values of all received data frames and acknowledgment frames, and a response time.

Claims (7)

A wireless network status monitoring device,
A collection means for collecting measurement data of links to be monitored in a wireless network;
Calculating means for calculating a plurality of parameters of the link to be monitored based on the measurement data;
First determination means for determining the possibility of each state of each parameter based on the parameter for each parameter of the plurality of parameters;
Fusing means for performing a fusing process on the possibility of each state of the plurality of parameters and acquiring the possibility of each state of the link to be monitored;
2nd determination means which determines the state of the said link to be monitored based on the possibility of each state of the said link to be monitored. The state monitoring device
Collecting the measurement data according to a predetermined period, calculating the plurality of parameters, determining the state of the link to be monitored, or
Collecting the measurement data, calculating the plurality of parameters and setting a period for determining the state of the link to be monitored based on the number of transmission packets transmitted on the link to be monitored. Item 2. The apparatus according to Item 1.   The apparatus according to claim 1, wherein the fusion unit performs fusion processing on the possibility of each state of the plurality of parameters using a DS algorithm.   The apparatus according to claim 1, wherein the fusion unit performs a fusion process on the possibility of each state of the plurality of parameters based on weights of the plurality of parameters. The plurality of parameters are:
Packet loss rate,
Resend rate,
Channel busy rate or channel usage rate,
The average value of the received signal strength indicator (RSSI) values of all received data frames and acknowledgment frames (ACK);
The standard deviation of the received signal strength indicator (RSSI) value of all received data frames and acknowledgment frames,
The average of link quality indicator (LQI) values of all received data frames and acknowledgment frames;
The apparatus of claim 1, comprising at least two of a standard deviation of link quality indicator (LQI) values of all received data frames and acknowledgment frames, and a response time. A network system including a terminal device, a network node or a station, and an access point,
The terminal device, network node or station is
Collect measurement data for links to be monitored in wireless networks,
Calculating a plurality of parameters of the link to be monitored based on the measurement data;
Sending the plurality of parameters to the access point;
The access point is
For each parameter of the plurality of parameters, determine the possibility of each state of each parameter based on the parameter,
Performing a fusion process on each state possibility of the plurality of parameters, obtaining a possibility of each state of the link to be monitored,
A network system that determines a state of the link to be monitored based on a possibility of each state of the link to be monitored. A network system including a terminal device, a network node or station, an access point, a router, a gateway, a central control device, or a cloud,
The terminal device, network node or station is
Collect measurement data for links to be monitored in wireless networks,
Calculating a plurality of parameters of the link to be monitored based on the measurement data;
Sending the plurality of parameters to the access point;
The access point is
Sending the plurality of parameters to the router, gateway, central controller or cloud;
The router, gateway, central controller or cloud is
For each parameter of the plurality of parameters, determine the possibility of each state of each parameter based on the parameter,
Performing a fusion process on each state possibility of the plurality of parameters, obtaining a possibility of each state of the link to be monitored,
A network system that determines a state of the link to be monitored based on a possibility of each state of the link to be monitored.