CN120475487B - Low-power consumption intelligent router control method - Google Patents
Low-power consumption intelligent router control methodInfo
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- CN120475487B CN120475487B CN202510955586.5A CN202510955586A CN120475487B CN 120475487 B CN120475487 B CN 120475487B CN 202510955586 A CN202510955586 A CN 202510955586A CN 120475487 B CN120475487 B CN 120475487B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention relates to the technical field of router control, in particular to a low-power-consumption intelligent router control method. The method comprises the steps of acquiring the first position of a mobile terminal in a coverage area of a router by adopting a WiFi positioning technology, calculating the distance between the mobile terminal and the router in real time, judging whether the mobile terminal is far away from the router, setting the time range and the frequency for acquiring RSSI signals of the mobile terminal, acquiring the distance of each movement of the mobile terminal, calculating a router power adjustment index by combining the calculated RSSI signal value and the discrete degree of the RSSI signal intensity value each time, forming a mapping relation between the router power adjustment index and a corresponding router transmission power adjustment level, and adjusting the router transmission power adjustment level, so that the coverage area of the router can be changed along with the position of the mobile terminal, the time of the router in a high-energy consumption state is reduced, and meanwhile, the connection of other devices is not influenced.
Description
Technical Field
The invention relates to the technical field of router control, in particular to a low-power-consumption intelligent router control method.
Background
Currently, a commercial router needs to connect two or more network devices to solve the problem of information transmission between the devices, but with the rapid development of intelligent devices, more and more related intelligent devices occur in enterprises, which results in increased power consumption of the router.
For the router, when the router is used in a room with a large house type area, the coverage area of the router is limited, and the situation that part of compartments cannot receive wireless signals or wireless signals are weak often occurs. In the prior art, in order to increase the signal strength of a router and increase the coverage of a wireless network, it is generally adopted to place the router in an indoor center position, so that signals can be more uniformly distributed to all corners.
Moreover, the conventional solution is to perform network networking to extend wireless network coverage, but the normal work for enterprises is regular, and the wireless network coverage is performed on a large-area building for 24 hours, so that the waste of resources is easily caused, the router is in a high-energy consumption state, the performance of the router is affected, and the coverage of the wireless network cannot be automatically controlled according to the activity of the mobile equipment.
Disclosure of Invention
The invention aims to provide a low-power consumption intelligent router control method for solving the problems in the background technology.
In order to achieve the above object, the present invention provides a control method for a low power consumption intelligent router, comprising the following steps:
s1, acquiring access equipment parameters of a connection router, and classifying the access equipment;
S2, acquiring the first position of the mobile terminal in the coverage area of the router by adopting a WiFi positioning technology, calculating the distance between the mobile terminal and the router in real time, comparing the distance with a preset distance threshold value, and monitoring the on-off of RSSI signals according to the comparison result;
s3, setting a time range and frequency for acquiring RSSI signals of the mobile terminal, acquiring the distance of each movement of the mobile terminal, calculating the value of each RSSI signal, and calculating a router power adjustment index according to the movement distance and the value of the RSSI signal;
S4, designing a mapping relation between a router power adjustment index and a power level, determining a router transmission power adjustment level in the router according to the power adjustment index, adjusting the router transmission power adjustment level by combining the mapping relation, and monitoring an adjusted RSSI signal in real time;
S5, acquiring the average value of the RSSI signal values before and after adjustment, comparing the average value of the RSSI signal values before and after adjustment, generating an evaluation report, outputting an optimal adjustment result according to the evaluation report, and applying the optimal adjustment result to the router.
As a further improvement of the technical scheme, the device parameters of the access router include device type, device name, signal strength, and access number for identifying the access device, and the access device is classified into a mobile device and a fixed device when the access device is classified.
As a further improvement of the technical scheme, the first position is set as a basic coverage range set in the router, the position of the mobile terminal is tracked by using a positioning technology, the RSSI signal intensity and the linear distance connected with the access equipment are obtained through the router, if the linear distance is larger than a preset distance threshold value, the mobile terminal judges that the mobile terminal is far away from the router, RSSI signal monitoring is started, and if the linear distance is smaller than the preset distance threshold value, the mobile terminal judges that the mobile terminal is close to the router, and RSSI signal monitoring is closed.
As a further improvement of the technical scheme, 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 value is subjected to average processing to obtain the average value of the RSSI signals, the average value is used as a reference value, then the discrete degree of the RSSI signal intensity value is calculated by using a standard deviation formula, and the standard deviation formula is as follows:
Wherein, the Is the number of the RSSI signals collected,Is the corresponding RSSI signal value per collection,Is the average value, standard deviation of all RSSI valuesThe larger the RSSI signal, the larger the fluctuation of the RSSI signal in the time range, and conversely, the smaller the fluctuation of the RSSI signal in the time range.
As a further improvement of the present technical solution, a router power adjustment index is calculated according to the calculated movement distance and the reference value, first, a formula for calculating the router power adjustment index is designed, the movement distance and the reference value are used as input amounts, and a router power adjustment index output amount is output, which is specifically shown as follows:
In the course of this formula (ii) the formula, The index is adjusted for the router power,AndWeight of corresponding moving distance and reference value, and,AndIs the minimum and maximum of the distance of movement,AndIs the minimum and maximum of the standard deviation.
As a further improvement of the present technical solution, the step of designing the mapping relationship between the router power adjustment index and the power level includes:
firstly, dividing the router transmitting power adjustment level into a basic level, a standard level, a high level and a special level;
Acquiring a router power adjustment index calculated each time;
creating a mapping relationship between the router power adjustment index and the router transmit power adjustment level, each power adjustment index The mapping relationship corresponding to the corresponding router transmit power adjustment level is as follows:
0.2 → base level;
0.4 → standard grade;
0.6 → high level;
1 → special class.
As a further improvement of the technical scheme, when the transmitting power is adjusted, the transmitting power adjustment level of the router corresponding to the power adjustment index is acquired first, the acquired transmitting power adjustment level of the router is applied to the router through a management interface of the router, and the adjusted RSSI signal is monitored in real time.
As a further improvement of the technical scheme, the adjusted RSSI signal value is obtained, the collected RSSI signal value is subjected to average processing to obtain an average value of the RSSI signal value, the average value of the RSSI signal is compared with the average value of the comparison RSSI signal value before adjustment, the standard deviation of the RSSI signal value is calculated according to the average value, and the adjustment result is evaluated as follows:
If the average value of the adjusted RSSI signal values is higher than that before adjustment and the standard deviation is not increased remarkably, the evaluation result is that the signal strength is improved, the optimization is effective, and the position of the mobile terminal is continuously acquired;
If the average values of the RSSI signals before and after adjustment are similar and the standard deviation is kept at a similar level, the evaluation result is that the signal strength has no obvious change and the adjustment effect is limited, and the position of the mobile terminal is continuously acquired;
If the average value of the adjusted RSSI signal value is lower than the average value before adjustment and the standard deviation is obviously increased, the evaluation result is that the signal intensity is reduced, the average value of the RSSI signal value at the moment is compared with the basic coverage area RSSI signal value set in the router, when the basic coverage area RSSI signal value is larger than the RSSI signal value, the basic coverage area set by the original router is maintained, otherwise, the adjusted coverage area is maintained.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the low-power-consumption intelligent router control method, a WiFi positioning technology is adopted to obtain the first position of a mobile terminal in the coverage area of a router, the distance between the mobile terminal and the router is calculated in real time, whether the mobile terminal is far away from the router is judged, then the time range and the frequency for obtaining the RSSI signal of the mobile terminal are set, the distance of each movement of the mobile terminal is obtained, the power adjustment index of the router is calculated by combining the calculated value of each RSSI signal and the discrete degree of the RSSI signal intensity value, a mapping relation is formed between the power adjustment index of the router and the corresponding transmitting power adjustment level of the router, and the transmitting power adjustment level of the router is formed, so that the coverage area of the router can change along with the position of the mobile terminal, the time of the router in a high-energy consumption state is reduced, and meanwhile, the connection of other devices is not influenced.
Drawings
FIG. 1 is a schematic diagram of the overall process of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made more apparent and fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a low-power consumption intelligent router control method is provided, which comprises the following method steps:
s1, acquiring access equipment parameters of a connection router, and classifying the access equipment;
S2, acquiring the first position of the mobile terminal in the coverage area of the router by adopting a WiFi positioning technology, calculating the distance between the mobile terminal and the router in real time, comparing the distance with a preset distance threshold value, and monitoring the on-off of RSSI signals according to the comparison result;
s3, setting a time range and frequency for acquiring RSSI signals of the mobile terminal, acquiring the distance of each movement of the mobile terminal, calculating the value of each RSSI signal, and calculating a router power adjustment index according to the movement distance and the value of the RSSI signal;
S4, designing a mapping relation between a router power adjustment index and a power level, determining a router transmission power adjustment level in the router according to the power adjustment index, adjusting the router transmission power adjustment level by combining the mapping relation, and monitoring an adjusted RSSI signal in real time;
S5, acquiring the average value of the RSSI signal values before and after adjustment, comparing the average value of the RSSI signal values before and after adjustment, generating an evaluation report, outputting an optimal adjustment result according to the evaluation report, and applying the optimal adjustment result to the router.
In the process that intelligent household equipment is connected with a router, the router can provide WiFi signals of two frequency bands of 2.4GHz and 5GHz simultaneously, and the intelligent household equipment needs to support a 2.4G/5G self-adaptive function to be in seamless connection with the router providing the function.
First, in S1, device parameters of a connection router including a device type, a device name, a signal strength, and an access number identifying the access device are acquired, and when classifying the access device, the access device is classified into a mobile device and a fixed device.
For example, stationary devices such as computers, enterprise devices, light bulbs, televisions, air conditioners, refrigerators, microwave ovens, servers, etc.;
mobile equipment such as a sweeping robot, a mobile phone and the like;
by determining the number of access devices, the power consumption intensity is conveniently reflected by the number of devices in the smart home, so as to optimize the network resource configuration.
When the number of accesses is identified, a scanning tool is used to scan a designated range, such as the whole local area network or a specific address segment IP, according to the coverage range of the router in the network, so that an intelligent terminal (including an intelligent mobile phone, a notebook computer and the like) with a nearby wireless function already started is identified, and whether the intelligent terminal is in a connected or unconnected state can be obtained without accessing WiFi by a user.
For a commercial router, when the commercial router is used in a house with a large floor area, the coverage area is limited, and the situation that part of rooms cannot receive wireless signals or wireless signals are weak often occurs, therefore, when the first position of a mobile terminal in the coverage area of the router is acquired in step S2, the first position is set as a basic coverage area set in the router, wherein the basic coverage area of the router is a set initial range, and intelligent equipment can be covered by the basic range. Location techniques (e.g., GPS, wi-Fi positioning, bluetooth beacons, etc.) are used to track the location of a mobile terminal, including:
And collecting signal characteristics, namely automatically scanning surrounding WiFi signals after the mobile terminal enters the coverage range of the router, and collecting key characteristics such as a router MAC address (uniquely identifying the router), signal strength (RSSI), channel information and the like. These features are the underlying data for subsequent positioning;
And constructing a fingerprint database, namely dividing grids in advance in a positioning area, collecting signal characteristics (RSSI, MAC address and the like) from different routers at each grid point, and establishing a fingerprint database corresponding to the signal characteristics and the positions. For example, signal acquisition is performed at different floors of a mall or the like.
And (3) matching in real time, namely comparing the acquired signal characteristics with fingerprints in a fingerprint library when the mobile terminal enters for the first time. And (3) finding out the most similar fingerprints by calculating the similarity (such as Euclidean distance measuring signal characteristic difference), and taking the corresponding positions as the first positions of the mobile terminals.
The method comprises the steps of obtaining RSSI signal intensity and linear distance connected with access equipment through a router, wherein the obtaining of the linear distance is based on time difference of arrival (TDOA), namely, at least three routers are deployed in an area needing to be positioned, position information of the routers is recorded, signals are sent through a plurality of routers, after the mobile equipment receives the signals, time of receiving the signals is obtained, the time difference of arrival between different signals is measured, and the distance between the mobile equipment and the router is calculated by combining the position information of the routers.
And if the linear distance is smaller than the preset distance threshold, the mobile terminal judges that the mobile terminal is close to the router, and closes the RSSI signal monitoring.
For example, a second position, a third position and a fourth position are generated when the mobile terminal moves, the position of the nth position changes each time the mobile terminal moves, meanwhile, the corresponding RSSI signal is affected due to the change of the linear distance, the RSSI signal can be monitored through a network management function of the router when the mobile terminal monitors, wherein the minimum coverage area of the router is set to be round with the router as a center and the outward coverage area is 5 meters, when the linear distance of the mobile terminal exceeds 5 meters, signal monitoring is started, and when the linear distance of the mobile terminal is smaller than 5 meters, the coverage area of the router is 5 meters at the moment, the original coverage area is maintained, and the minimum coverage area of the router can be correspondingly set according to specific scenes.
When a plurality of users carry different mobile terminals to move, the linear distances of the mobile terminals carried by different users are compared, and the mobile terminals with large linear distances are monitored in real time preferentially. The mobile terminal can move synchronously with the user, and the RSSI signal can be subjected to various environmental interferences such as buildings, crowds and the like in the process, so that the RSSI signal can fluctuate, and when the mobile terminal is in a static state, the environmental interferences are relatively stable, and therefore, the fluctuation of the RSSI signal is small.
In S3, a time range and a frequency for acquiring the RSSI signal of the mobile terminal are set, wherein the time range is determined for continuously collecting the RSSI signal and the movement distance data, for example, every 3 seconds or every 5 seconds, and the frequency is set for collecting the RSSI signal and the movement distance data, for example, once every second.
Next, calculating the moving distance between adjacent positions of the mobile terminal, obtaining RSSI signal values of the straight line distance, carrying out average processing on the collected RSSI signal values to obtain an average value of the RSSI signals, using the average value as a reference value, and then calculating the discrete degree of the RSSI signal intensity value by using a standard deviation formula, wherein the standard deviation formula is as follows:
Wherein, the Is the number of the RSSI signals collected,Is the corresponding RSSI signal value per collection,Is the average value, standard deviation of all RSSI valuesThe larger the RSSI signal, the larger the fluctuation of the RSSI signal in the time range, and conversely, the smaller the fluctuation of the RSSI signal in the time range.
Further, a router power adjustment index is calculated according to 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 input quantities, and a router power adjustment index output quantity is output, which is specifically shown as follows:
In the course of this formula (ii) the formula, The index is adjusted for the router power,AndWeight of corresponding moving distance and reference value, and,AndIs the minimum and maximum of the distance of movement,AndIs the minimum and maximum of the standard deviation. For the purpose ofAndFor example, by collecting and analyzing network performance data, determining which factor has a greater impact on performance, and thus setting a corresponding weight, the specific steps are:
step one, acquiring moving distance and fluctuation numerical data;
a second step, data and processing and analysis (wherein, correlation coefficients between the moving distance and the reference value and the performance index, such as pearson correlation coefficient or spearman rank correlation coefficient, are calculated to evaluate a linear relationship or a monotonic relationship therebetween);
Thirdly, evaluating the importance of the features (using machine learning algorithms (such as random forests, gradient lifts, etc.) to evaluate the importance of the moving distance and the reference value in predicting the performance index);
fourth, determining weights of the moving distance and the reference value based on the data analysis result, ensuring that the set weights satisfy Is a condition of (2).
The step of designing the router power adjustment index and power level mapping relation comprises the following steps:
Firstly, the router transmitting power adjustment level is divided into a basic level (low power), a standard level (medium power), a high level (high power) and a special level (customized power);
Obtaining the router power adjustment index calculated each time, wherein the router power adjustment index is set according to specific practical conditions For example, will beIs set to1,The closer toIndicating that the lower the need for adjustment is,Closer to 1 means higher adjustment demand;
creating a mapping relationship between the router power adjustment index and the router transmit power adjustment level, each power adjustment index The mapping relationship corresponding to the corresponding router transmit power adjustment level is as follows:
0.2 → base level;
0.4 → standard grade;
0.6 → high level;
1 → special class.
Creating a mapping relationship between the router power adjustment index and the router transmit power adjustment level, each power adjustment indexThe mapping relationship corresponding to the corresponding router transmit power adjustment level is as follows:
0.2 → basic level (low power 2 mW-5 mW);
0.4 → standard grade (medium power 5 mW-10 mW);
0.6 → high level (high power 10mW to 20 mW);
1 → special level (custom power 20 mW-35 mW).
When the transmitting power is adjusted, firstly acquiring the transmitting power adjustment level of the router corresponding to the power adjustment index, applying the acquired transmitting power adjustment level of the router to the router through a management interface of the router, and monitoring the adjusted RSSI signal in real time.
Second, there are three cases of router transmit power adjustment levels:
the first case, the original router transmitting power adjusting level is adjusted from low level to high level, the second case, the original router transmitting power adjusting level is adjusted from high level to low level, the third case, the original router transmitting power adjusting level is maintained, when the case appears, the coverage area of the adjusted router is wider, The larger the value of the RSSI signal is, the stronger the signal is, which means that the stronger the signal is received by the area where the original signal is weaker, the better the signal quality is, and the closer the value of the RSSI signal is to 0 dBm, the stronger the signal is, otherwise, when the second situation occurs, the smaller the coverage area of the adjusted router is,The mobile terminal receives weaker signals.
Then, obtaining the adjusted RSSI signal value, carrying out average processing on the collected RSSI signal value to obtain an average value of the RSSI signal value, comparing the average value of the RSSI signal with the average value of the comparison RSSI signal value before adjustment, calculating the standard deviation of the RSSI signal value according to the average value, firstly calculating the standard deviation of the RSSI signal value before and after adjustment according to a standard deviation formula, namely dividing the square root of the average value of the square sums to obtain the standard deviation of the RSSI measured value, and evaluating the adjustment result, wherein the steps are as follows:
If the average value of the adjusted RSSI signal value is higher than that before adjustment and the standard deviation is not increased remarkably (namely, the signal stability is kept good or improved to some extent), the evaluation result is that the signal strength is improved and the optimization is effective, and the position of the mobile terminal is continuously acquired;
If the average values of the RSSI signals before and after adjustment are similar and the standard deviation is kept at a similar level, the evaluation result is that the signal strength has no obvious change and the adjustment effect is limited, and the position of the mobile terminal is continuously acquired;
If the average value of the adjusted RSSI signal value is lower than the average value before adjustment and the standard deviation is obviously increased (namely, the signal stability is reduced), the evaluation result is that the signal strength is reduced, the average value of the RSSI signal value at the moment is compared with the basic coverage area RSSI signal value set in the router, when the basic coverage area RSSI signal value is larger than the RSSI signal value, the basic coverage area set by the original router is maintained, and otherwise, the adjusted coverage area is maintained.
Therefore, when the mobile terminal moves indoors, the WiFi positioning technology is adopted to acquire the first position of the mobile terminal in the coverage area of the router, the distance between the mobile terminal and the router is calculated in real time, whether the mobile terminal is far away from the router is judged, then the time range and the frequency for acquiring the RSSI signal of the mobile terminal are set, the distance of each movement of the mobile terminal is acquired, the power adjustment index of the router is calculated by combining the calculated discrete degree of the RSSI signal value and the RSSI signal intensity value each time, the mapping relation is formed between the power adjustment index of the router and the corresponding power adjustment level of the router, and the power adjustment level of the router is adjusted, so that the coverage area of the router can be changed along with the position of the mobile terminal, the time of the router in a high-energy consumption state is reduced, and meanwhile, the connection of other devices is not influenced.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113923765A (en) * | 2021-09-08 | 2022-01-11 | 北京维普无限智能技术有限公司 | Method and device for adjusting wireless transmitting power |
| CN119052900A (en) * | 2024-07-31 | 2024-11-29 | 南阳星奥通讯科技有限公司 | Antenna generation power control method of router |
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| US9578605B2 (en) * | 2013-09-27 | 2017-02-21 | Parallel Wireless, Inc. | Adjusting transmit power across a network |
| CN104363642A (en) * | 2014-11-21 | 2015-02-18 | 上海斐讯数据通信技术有限公司 | Method for controlling power consumption of router of wireless local area network |
| CN107396430B (en) * | 2016-05-17 | 2021-07-02 | 中兴通讯股份有限公司 | Power adjusting method and device |
| CN109257810B (en) * | 2017-07-12 | 2022-05-10 | 华为技术有限公司 | A power control method and terminal device |
| CN109379749B (en) * | 2018-09-07 | 2022-01-04 | 普联技术有限公司 | Router control method, system, equipment and router |
| CN113473405B (en) * | 2021-07-06 | 2024-08-06 | 江苏智冷物联技术有限公司 | Method, device, computer storage medium and terminal for realizing power adjustment |
| CN119767396A (en) * | 2024-12-30 | 2025-04-04 | 成都爱旗科技有限公司 | Method and device for adjusting terminal transmitting power |
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| CN119052900A (en) * | 2024-07-31 | 2024-11-29 | 南阳星奥通讯科技有限公司 | Antenna generation power control method of router |
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