A low-power intelligent router control method

Abstract

The present invention relates to the field of router control technology, and more specifically, to a low-power intelligent router control method. The method comprises using WiFi positioning technology to obtain the initial position of a mobile terminal within the router's coverage area, calculating the distance between the mobile terminal and the router in real time, and determining whether the mobile terminal is far from the router. The method then sets a time range and frequency for obtaining the mobile terminal's RSSI signal, obtains the distance the mobile terminal moves each time, calculates the discreteness of each RSSI signal value and the RSSI signal strength value, and calculates a router power adjustment index. A mapping relationship is formed between the router power adjustment index and the corresponding router transmit power adjustment level. The router transmit power adjustment level is adjusted so that the router's coverage area can change with the mobile terminal's position, reducing the time the router is in a high-energy consumption state while not affecting the connection of other devices.

Description

Technical Field

[0001] The present invention relates to the technical field of router control, and in particular to a low-power intelligent router control method. Background Art

[0002] Currently, commercial routers need to connect two or more network devices to solve the problem of information transmission between devices. However, with the rapid development of smart devices, more and more related smart devices have appeared in enterprises, resulting in increased power consumption of routers.

[0003] When used indoors in larger apartments, routers have limited coverage, often leaving some rooms without wireless signals or experiencing weak signals. To improve signal strength and wireless network coverage, routers are typically placed in the center of the room, allowing the signal to be more evenly distributed throughout.

[0004] Moreover, the current conventional solution is to expand wireless network coverage through network networking, but the normal work of enterprises is regular. 24-hour wireless network coverage of large-scale buildings is likely to cause waste of resources and cause the router to be in a high energy consumption state, which not only affects the performance of the router, but also makes it impossible to automatically control the coverage of the wireless network according to the activities of mobile devices. Summary of the Invention

[0005] The object of the present invention is to provide a low-power intelligent router control method to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides a low-power intelligent router control method, comprising the following method steps:

[0007] S1. Obtain parameters of access devices connected to the router and classify the access devices;

[0008] S2. Use WiFi positioning technology to obtain the initial location of the mobile terminal within the coverage area of ​​the router, calculate the distance between the mobile terminal and the router in real time, compare the distance with the preset distance threshold, and turn RSSI signal monitoring on and off based on the comparison result;

[0009] S3. Set the time range and frequency for obtaining the RSSI signal of the mobile terminal, obtain the distance moved by the mobile terminal each time, calculate the RSSI signal value each time, and calculate the router power adjustment index based on the moving distance and the RSSI signal value;

[0010] S4. Design a mapping relationship between a router power adjustment index and a power level, determine a router transmit power adjustment level in the router according to the power adjustment index, adjust the router transmit power adjustment level based on the mapping relationship, and monitor the adjusted RSSI signal in real time;

[0011] S5. Obtain average values ​​of RSSI signals before and after adjustment, compare the average values ​​of RSSI signals before and after adjustment, generate an evaluation report, output an optimal adjustment result according to the evaluation report, and apply it to the router.

[0012] As a further improvement of this technical solution, the device parameters connected to the router are obtained including device type, device name, signal strength, and access number for identifying the access device. When classifying the access devices, the access devices are divided into mobile devices and fixed devices.

[0013] As a further improvement of the present technical solution, the first position is set as the basic coverage range set in the router, and positioning technology is used to track the position of the mobile terminal. The RSSI signal strength and straight-line distance connected to the access device are obtained through the router. If the straight-line distance is greater than the preset distance threshold, the mobile terminal is determined to be far away from the router and RSSI signal monitoring is started. If the straight-line distance is less than the preset distance threshold, the mobile terminal is determined to be close to the router and RSSI signal monitoring is turned off.

[0014] As a further improvement of this technical solution, the moving distance between adjacent positions of the mobile terminal is calculated, the RSSI signal value of the straight-line distance is obtained, the collected RSSI signal values ​​are averaged, and the average value of the RSSI signal is obtained as the benchmark value. Then, the standard deviation formula is used to calculate the dispersion of the RSSI signal strength value. The standard deviation formula is:

[0015]

[0016] in, is the number of collected RSSI signals, It is the RSSI signal value corresponding to each collection. is the average value of all RSSI values, standard deviation The larger the value, the greater the fluctuation of the RSSI signal within the time range. Conversely, the smaller the fluctuation of the RSSI signal within the time range.

[0017] As a further improvement of this technical solution, a router power adjustment index is calculated based on the calculated moving distance and the reference value. First, a formula for calculating the router power adjustment index is designed. The moving distance and the reference value are used as inputs, and a router power adjustment index output is output. The specific formula is shown below:

[0018]

[0019] In this formula, is the router power adjustment index, and The weights corresponding to the moving distance and the reference value, and , and are the minimum and maximum moving distances, and are the minimum and maximum values ​​of the standard deviation.

[0020] As a further improvement to this technical solution, the steps of designing a mapping relationship between a router power adjustment index and a power level include:

[0021] First, the router transmit power adjustment levels are divided into: basic level, standard level, high level, and special level;

[0022] Obtain the router power adjustment index calculated each time;

[0023] Create a mapping relationship between the router power adjustment index and the router transmit power adjustment level. Each power adjustment index The corresponding router transmit power adjustment levels are mapped as follows:

[0024] 0.2: → Basic level;

[0025] 0.4: →Standard level;

[0026] 0.6: → High level;

[0027] 1: →Special level.

[0028] As a further improvement of this technical solution, when adjusting the transmission power, first obtain the router transmission power adjustment level corresponding to the power adjustment index, apply the obtained router transmission power adjustment level to the router through the router's management interface, and monitor the adjusted RSSI signal in real time.

[0029] As a further improvement to the present technical solution, the adjusted RSSI signal value is obtained, the collected RSSI signal values ​​are averaged to obtain the average value of the RSSI signal value, the average value of the RSSI signal is compared with the average value of the compared RSSI signal value before the adjustment, the standard deviation of the RSSI signal value is calculated based on the average value, and then the adjustment result is evaluated. The steps are as follows:

[0030] If the average RSSI value after adjustment is higher than before adjustment and the standard deviation does not increase significantly, the evaluation result is "Signal strength improved, optimization effective", and the mobile terminal's location can be obtained.

[0031] If the average RSSI values ​​before and after the adjustment are similar, and the standard deviations are also similar, the evaluation result is "No significant change in signal strength, limited adjustment effect." Continue acquiring the mobile terminal's location.

[0032] If the average RSSI signal value after adjustment is lower than before adjustment and the standard deviation increases significantly, the evaluation result is "signal strength decrease". The average RSSI signal value at this time is compared with the basic coverage range RSSI signal value set in the router. If the basic coverage range RSSI signal value is greater than the RSSI signal value, the basic coverage range set by the original router is maintained. Otherwise, the adjusted coverage range is maintained.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In this low-power intelligent router control method, WiFi positioning technology is used to obtain the initial position of the mobile terminal within the coverage area of ​​the router, the distance between the mobile terminal and the router is calculated in real time, and it is determined whether the mobile terminal is far away from the router. Then, the time range and frequency of obtaining the RSSI signal of the mobile terminal are set, and the distance moved by the mobile terminal each time is obtained. The router power adjustment index is calculated by combining the discrete degree of the RSSI signal value and the RSSI signal strength value each time. A mapping relationship is formed between the router power adjustment index and the corresponding router transmit power adjustment level. The router transmit power adjustment level is adjusted so that the coverage range of the router can change with the position of the mobile terminal, reducing the time the router is in a high energy consumption state, while not affecting the connection of other devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the overall method of the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0037] like Figure 1 As shown, a low-power intelligent router control method is provided, including the following method steps:

[0038] S1. Obtain parameters of access devices connected to the router and classify the access devices;

[0039] S2. Use WiFi positioning technology to obtain the initial location of the mobile terminal within the coverage area of ​​the router, calculate the distance between the mobile terminal and the router in real time, compare the distance with the preset distance threshold, and turn RSSI signal monitoring on and off based on the comparison result;

[0040] S3. Set the time range and frequency for obtaining the RSSI signal of the mobile terminal, obtain the distance moved by the mobile terminal each time, calculate the RSSI signal value each time, and calculate the router power adjustment index based on the moving distance and the RSSI signal value;

[0041] S4. Design a mapping relationship between a router power adjustment index and a power level, determine a router transmit power adjustment level in the router according to the power adjustment index, adjust the router transmit power adjustment level based on the mapping relationship, and monitor the adjusted RSSI signal in real time;

[0042] S5. Obtain average values ​​of RSSI signals before and after adjustment, compare the average values ​​of RSSI signals before and after adjustment, generate an evaluation report, output an optimal adjustment result according to the evaluation report, and apply it to the router.

[0043] When smart home devices are connected to a router, the router can provide WiFi signals in both the 2.4GHz and 5GHz frequency bands. Smart home devices need to support the 2.4G / 5G adaptive function to seamlessly connect to the router that provides this function.

[0044] First, in S1, the parameters of the device connected to the router are obtained, including the device type, device name, signal strength, and access number for identifying the access device. When classifying the access devices, the access devices are divided into mobile devices and fixed devices.

[0045] For example, fixed equipment: computers, business equipment, light bulbs, televisions, air conditioners, refrigerators, microwave ovens, servers, etc.;

[0046] Mobile devices: sweeping robots, mobile phones, etc.

[0047] By determining the number of connected devices, it is convenient to reflect the intensity of power consumption through the number of devices in the smart home to optimize network resource allocation.

[0048] Among them, when identifying the number of accesses, a scanning tool is used to scan the specified range according to the coverage of the router in the network, such as the entire local area network or a specific address segment IP, so as to identify nearby smart terminals (including smartphones, laptops, etc.) with wireless functions turned on. Without the user accessing WiFi, it can also be obtained whether the terminal is connected or not.

[0049] For commercial routers, when used in houses with larger floors, their coverage area is limited, and some rooms often cannot receive wireless signals or have weak wireless signals. Therefore, when obtaining the initial position of the mobile terminal within the coverage area of ​​the router in step S2, the initial position is set as the basic coverage range set in the router, where the basic coverage range of the router is the set initial range that can cover the smart device. Use positioning technology (such as GPS, Wi-Fi positioning, Bluetooth beacon, etc.) to track the location of the mobile terminal, which includes:

[0050] Collection of signal characteristics: After the mobile terminal enters the coverage area of ​​the router, it automatically scans the surrounding WiFi signals and collects key characteristics, such as the router's MAC address (which uniquely identifies the router), signal strength (RSSI), and channel information. These characteristics serve as the basic data for subsequent positioning;

[0051] Build a fingerprint database: Divide the positioning area into a grid in advance, collect signal characteristics (RSSI, MAC address, etc.) from different routers at each grid point, and build a fingerprint database that corresponds signal characteristics and locations. For example, signal collection can be performed at different floors of a shopping mall.

[0052] Real-time matching: When a mobile terminal enters the system for the first time, the collected signal features are compared with the fingerprints in the fingerprint database. By calculating similarity (e.g., Euclidean distance to measure differences in signal features), the most similar fingerprint is found and its corresponding location is used as the mobile terminal's initial location.

[0053] The RSSI signal strength and straight-line distance to the access device are obtained through the router. The straight-line distance is obtained based on the time difference of arrival (TDOA) method. That is, at least three routers are deployed in the area where positioning is required, and their location information is recorded. Signals are sent using multiple routers. After the mobile device receives these signals, the time of reception of the signal is obtained, the arrival time difference between different signals is measured, and the distance between the mobile device and the router is calculated based on the location information of the router.

[0054] If the straight-line distance is greater than the preset distance threshold, the mobile terminal is determined to be far away from the router and RSSI signal monitoring is started. If the straight-line distance is less than the preset distance threshold, the mobile terminal is determined to be close to the router and RSSI signal monitoring is turned off.

[0055] For example: when the mobile terminal moves, it will generate the second position, third position, fourth position...Nth position. Each time the mobile terminal moves, its position will change. At the same time, the corresponding RSSI signal will also be affected by the change in straight-line distance. When monitoring, the RSSI signal can be monitored through the network management function of the router. The minimum coverage range of the router is set to a circle with the router as the center and an outward coverage range of 5 meters. When the straight-line distance of the mobile terminal exceeds 5 meters, signal monitoring is started. When the straight-line distance of the mobile terminal is less than 5 meters, the coverage range of the router is 5 meters, maintaining the original coverage range, and the minimum coverage range of the router can be set accordingly according to the specific scenario.

[0056] When multiple users carry different mobile devices, the linear distance between them is compared, prioritizing real-time monitoring of the mobile device with the largest linear distance. Mobile devices move synchronously with the users, and the RSSI signal can fluctuate due to various environmental interferences, such as buildings and crowds. When a mobile device is stationary, environmental interference is relatively stable, resulting in smaller RSSI fluctuations.

[0057] In S3, the time range and frequency for obtaining the RSSI signal of the mobile terminal are set, wherein the time range: determines a time window, such as every 3 seconds or every 5 seconds, for continuously collecting RSSI signals and moving distance data; the frequency: within the time range, sets the frequency for collecting RSSI signals and moving distance data, such as once per second.

[0058] Next, calculate the moving distance between adjacent mobile terminal positions, obtain the RSSI signal value of the straight-line distance, average the collected RSSI signal values, and obtain the average value of the RSSI signal as the benchmark value. Then use the standard deviation formula to calculate the dispersion of the RSSI signal strength value. The standard deviation formula is:

[0059]

[0060] in, is the number of collected RSSI signals, It is the RSSI signal value corresponding to each collection. is the average value of all RSSI values, standard deviation The larger the value, the greater the fluctuation of the RSSI signal within the time range. Conversely, the smaller the fluctuation of the RSSI signal within the time range.

[0061] Furthermore, the router power adjustment index is calculated based on the calculated moving distance and the reference value. First, a formula for calculating the router power adjustment index is designed. The moving distance and the reference value are used as inputs, and a router power adjustment index output is output. The specific formula is shown below:

[0062]

[0063] In this formula, is the router power adjustment index, and The weights corresponding to the moving distance and the reference value, and , and are the minimum and maximum moving distances, and is the minimum and maximum value of the standard deviation. and For example, by collecting and analyzing network performance data, we can determine which factor has a greater impact on performance and set the corresponding weight. The specific steps are as follows:

[0064] The first step is to collect moving distance and fluctuation value data;

[0065] Step 2: Data processing and analysis (wherein, correlation coefficients between the moving distance and the benchmark value and the performance index, such as the Pearson correlation coefficient or the Spearman rank correlation coefficient, are calculated to evaluate whether there is a linear or monotonic relationship between them);

[0066] Step 3: Feature importance assessment (using machine learning algorithms (such as random forests, gradient boosting machines, etc.) to assess the importance of moving distance and benchmark values ​​in predicting performance indicators);

[0067] Step 4: Based on the data analysis results, determine the weights of the moving distance and the benchmark value, and ensure that the set weights meet conditions.

[0068] The steps for designing the mapping between the router power adjustment index and the power level include:

[0069] First, the router transmit power adjustment levels are divided into: basic level (low power), standard level (medium power), advanced level (high power), and special level (customized power);

[0070] Get the router power adjustment index calculated each time; among them, set the router power adjustment index according to the specific actual situation Adjustment range, for example: The range is set to 1, The closer The lower the adjustment demand, The closer it is to 1, the higher the adjustment demand;

[0071] Create a mapping relationship between the router power adjustment index and the router transmit power adjustment level. Each power adjustment index The corresponding router transmit power adjustment levels are mapped as follows:

[0072] 0.2: → Basic level;

[0073] 0.4: →Standard level;

[0074] 0.6: → High level;

[0075] 1: →Special level.

[0076] Create a mapping relationship between the router power adjustment index and the router transmit power adjustment level. Each power adjustment index The corresponding router transmit power adjustment levels are mapped as follows:

[0077] 0.2: → Basic level (low power 2mW~5mW);

[0078] 0.4: → Standard level (medium power 5mW~10mW);

[0079] 0.6: → High level (high power 10mW~20mW);

[0080] 1: →Special level (customized power 20mW~35mW).

[0081] When adjusting the transmit power, first obtain the router transmit power adjustment level corresponding to the power adjustment index, apply the obtained router transmit power adjustment level to the router through the router's management interface, and monitor the adjusted RSSI signal in real time.

[0082] Secondly, there are three situations for adjusting the router's transmit power level:

[0083] Case 1: The original router transmission power adjustment level is adjusted from low to high. Case 2: The original router transmission power adjustment level is adjusted from high to low. Case 3: The original router transmission power adjustment level is maintained. When case 1 occurs, the adjusted router has a wider coverage area. The increase in the value means that the area with weak signal will now receive a stronger signal. Since the signal received by the mobile terminal is stronger, its signal quality is improved. The closer the RSSI signal value is to 0 dBm, the stronger the signal. On the contrary, when the second situation occurs, the coverage range of the adjusted router is smaller. As the value of decreases, the signal received by the mobile terminal becomes weaker.

[0084] Then, obtain the adjusted RSSI signal value, average the collected RSSI signal values ​​to obtain the average value of the RSSI signal value, compare the average value of the RSSI signal value with the average value of the RSSI signal value before adjustment, and calculate the standard deviation of the RSSI signal value based on the average value. First, calculate the standard deviation of the RSSI signal values ​​before and after adjustment according to the standard deviation formula, that is, take the square root of the average value of the sum of squares to obtain the standard deviation of the RSSI measurement value, and then evaluate the adjustment result. The steps are as follows:

[0085] If the average RSSI value after adjustment is higher than before adjustment and the standard deviation does not increase significantly (that is, the signal stability remains good or improves), the evaluation result is "Signal strength improved, optimization effective", and the mobile terminal's location can be obtained.

[0086] If the average RSSI values ​​before and after the adjustment are similar, and the standard deviations are also similar, the evaluation result is "No significant change in signal strength, limited adjustment effect." Continue acquiring the mobile terminal's location.

[0087] If the average RSSI signal value after adjustment is lower than before adjustment and the standard deviation increases significantly (that is, the signal stability decreases), the evaluation result is "signal strength decreases". The average RSSI signal value at this time is compared with the basic coverage range RSSI signal value set in the router. If the basic coverage range RSSI signal value is greater than the RSSI signal value, the basic coverage range set by the original router is maintained. Otherwise, the adjusted coverage range is maintained.

[0088] It can be seen from this that when the mobile terminal is indoors, the WiFi positioning technology is used to obtain the first position of the mobile terminal within the coverage range of the router, the distance between the mobile terminal and the router is calculated in real time, and it is determined whether the mobile terminal is far away from the router. Then, the time range and frequency of obtaining the RSSI signal of the mobile terminal are set, and the distance moved by the mobile terminal each time is obtained. Combined with the calculation of the discrete degree of each RSSI signal value and the RSSI signal strength value, the router power adjustment index is calculated. A mapping relationship is formed between the router power adjustment index and the corresponding router transmit power adjustment level. The router transmit power adjustment level is adjusted so that the router coverage range can change with the position of the mobile terminal, reducing the time the router is in a high energy consumption state, while not affecting the connection of other devices.

[0089] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A low-power intelligent router control method, characterized by: The method comprises the following steps: S1. Obtain parameters of access devices connected to the router and classify the access devices; S2. Use WiFi positioning technology to obtain the initial location of the mobile terminal within the coverage area of ​​the router, calculate the distance between the mobile terminal and the router in real time, compare the distance with the preset distance threshold, and turn RSSI signal monitoring on and off based on the comparison result; S3. Based on the different types of mobile terminals carried, the straight-line distances of different types of mobile terminals are compared. Based on the comparison results, the mobile terminal with the largest straight-line distance is monitored in real time. The time range and frequency of obtaining the RSSI signal of the mobile terminal are set, and the distance moved by the mobile terminal each time is obtained. The RSSI signal value of each time is calculated, and the router power adjustment index is calculated based on the moving distance and the RSSI signal value; S4. Design a mapping relationship between a router power adjustment index and a power level, determine a router transmit power adjustment level in the router according to the power adjustment index, adjust the router transmit power adjustment level based on the mapping relationship, and monitor the adjusted RSSI signal in real time; S5. Obtain the average RSSI signal values ​​before and after the adjustment, compare the average RSSI signal values ​​before and after the adjustment, generate an evaluation report, output the optimal adjustment result according to the evaluation report, and apply it to the router; Calculate the moving distance between adjacent mobile terminal locations, obtain the RSSI signal value of the straight-line distance, average the collected RSSI signal values, and obtain the average value of the RSSI signal as the benchmark value. Then use the standard deviation formula to calculate the dispersion of the RSSI signal strength value. The standard deviation formula is: in, is the number of collected RSSI signals, It is the RSSI signal value corresponding to each collection. is the average value of all RSSI values, standard deviation The larger the value, the greater the fluctuation of the RSSI signal within the time range. Conversely, the smaller the fluctuation of the RSSI signal within the time range. The router power adjustment index is calculated based on the calculated moving distance and the reference value. First, a formula for calculating the router power adjustment index is designed. The moving distance and the reference value are used as inputs, and a router power adjustment index output is output. The specific formula is shown below: In this formula, is the router power adjustment index, and The weights corresponding to the moving distance and the reference value, and , and are the minimum and maximum moving distances, and are the minimum and maximum values ​​of the standard deviation.

2. The low-power intelligent router control method according to claim 1, characterized in that: The device parameters connected to the router are obtained including device type, device name, signal strength, and access number for identifying the access device. When classifying the access devices, the access devices are divided into mobile devices and fixed devices.

3. The low-power intelligent router control method according to claim 1, characterized in that: The first location is set as the basic coverage range set in the router, and the positioning technology is used to track the location of the mobile terminal. The RSSI signal strength and straight-line distance connected to the access device are obtained through the router. If the straight-line distance is greater than the preset distance threshold, the mobile terminal is determined to be far away from the router and RSSI signal monitoring is started. If the straight-line distance is less than the preset distance threshold, the mobile terminal is determined to be close to the router and RSSI signal monitoring is turned off.

4. The low-power intelligent router control method according to claim 1, characterized in that: The steps for designing the mapping between the router power adjustment index and the power level include: First, the router transmit power adjustment levels are divided into: basic level (low power), standard level (medium power), advanced level (high power), and special level (customized power); Obtain the router power adjustment index calculated each time; Create a mapping relationship between the router power adjustment index and the router transmit power adjustment level. Each power adjustment index The corresponding router transmit power adjustment levels are mapped as follows: 20: → Basic level (low power) 40: → Standard level (medium power) 60: → High level (high power) 80: → Special level (customized power).

5. The low-power intelligent router control method according to claim 4, characterized in that: When adjusting the transmit power, first obtain the router transmit power adjustment level corresponding to the power adjustment index, apply the obtained router transmit power adjustment level to the router through the router's management interface, and monitor the adjusted RSSI signal in real time.

6. The low-power intelligent router control method according to claim 5, characterized in that: Get the adjusted RSSI signal value, average the collected RSSI signal values ​​to get the average RSSI signal value, compare the average RSSI signal value with the average RSSI signal value before adjustment, calculate the standard deviation of the RSSI signal value based on the average value, and then evaluate the adjustment result. The steps are as follows: If the average RSSI value after adjustment is higher than before adjustment and the standard deviation does not increase significantly, the evaluation result is "Signal strength improved, optimization effective", and the mobile terminal's location can be obtained. If the average RSSI values ​​before and after the adjustment are similar, and the standard deviations remain similar, the evaluation result is "No significant change in signal strength, limited adjustment effect." Continue acquiring the mobile terminal's location. If the average RSSI value after adjustment is lower than before adjustment and the standard deviation increases significantly, the evaluation result is "signal strength decreased". The average RSSI value at this time is compared with the basic coverage range RSSI signal value set in the router. If the basic coverage range RSSI signal value is greater than the RSSI signal value, the basic coverage range set by the original router is maintained. Otherwise, the adjusted coverage range is maintained.

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