[go: up one dir, main page]

CN120475487B - Low-power consumption intelligent router control method - Google Patents

Low-power consumption intelligent router control method

Info

Publication number
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
Authority
CN
China
Prior art keywords
router
rssi signal
mobile terminal
power
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202510955586.5A
Other languages
Chinese (zh)
Other versions
CN120475487A (en
Inventor
胡再刚
孙丕宏
朱风生
刘志东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chengdu Skysoft Info & Tech Co ltd
Original Assignee
Chengdu Skysoft Info & Tech Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Skysoft Info & Tech Co ltd filed Critical Chengdu Skysoft Info & Tech Co ltd
Priority to CN202510955586.5A priority Critical patent/CN120475487B/en
Publication of CN120475487A publication Critical patent/CN120475487A/en
Application granted granted Critical
Publication of CN120475487B publication Critical patent/CN120475487B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Mobile Radio Communication Systems (AREA)

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

Low-power consumption intelligent router control method
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.

Claims (6)

1.一种低功耗智能路由器控制方法,其特征在于:包括如下方法步骤:1. A low-power intelligent router control method, characterized by comprising the following method steps: S1、获取连接路由器的接入设备参数,并将接入设备进行分类;S1. Obtain parameters of access devices connected to the router and classify the access devices; S2、采用WiFi定位技术获取路由器覆盖范围内的移动终端首次位置,实时计算移动终端与路由器之间的距离,将距离与预设距离阈值进行比对,根据比对结果实现RSSI信号监测的开启和关闭;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、基于携带不同类型移动终端,对不同类型移动终端直线距离进行比对,基于比对结果对直线距离最大的移动终端进行实时监测,设定获取移动终端RSSI信号的时间范围和频率,并获取移动终端每次移动的距离,计算每次RSSI信号数值,根据移动距离和RSSI信号数值计算出路由器功率调整指数;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、设计路由器功率调整指数与功率级别映射关系,根据功率调整指数确定路由器中的路由器发射功率调整级别,结合映射关系调整路由器发射功率调整级别,并实时监测调整后的RSSI信号;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、获取调整前后的RSSI信号数值平均值,对比调整前后的RSSI信号数值平均值,生成评估报告,根据评估报告输出最优调整结果,并应用到路由器中;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; 计算移动终端相邻位置之间的移动距离,获取直线距离的RSSI信号数值,对收集到的RSSI信号数值进行平均处理,得到RSSI信号的平均值,作为基准值,然后使用标准差公式计算RSSI信号强度值的离散程度,标准差公式为: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: 其中,是收集RSSI信号的数量,是每收集一次对应的RSSI信号数值,是所有RSSI数值的平均值,标准差越大,表示RSSI信号在该时间范围内的波动越大,反之,RSSI信号在该时间范围内的波动越小;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. 根据计算的移动距离和基准值计算出路由器功率调整指数,首先,设计计算路由器功率调整指数的公式,将移动距离与基准值作为输入量,输出一个路由器功率调整指数输出量,具体如下示出: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: 在该公式中,为路由器功率调整指数,对应移动距离与基准值的权重,且是移动距离的最小值和最大值,是标准差的最小值和最大值。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.根据权利要求1所述的低功耗智能路由器控制方法,其特征在于:获取连接路由器的设备参数包括设备类型、设备名称、信号强度、识别所述接入设备的接入数量,在对接入设备进行分类时,将接入设备划分为移动设备和固定设备。2. The low-power intelligent router control method according to claim 1 is 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, and when classifying the access devices, the access devices are divided into mobile devices and fixed devices. 3.根据权利要求1所述的低功耗智能路由器控制方法,其特征在于:将所述首次位置设置为路由器中设定的基础覆盖范围,使用定位技术来跟踪移动终端的位置,通过路由器获取与接入设备连接的RSSI信号强度和直线距离,若所述直线距离大于预设距离阈值时,移动终端判定为远离路由器,启动RSSI信号监测,若所述直线距离小于预设距离阈值时,移动终端判定为靠近路由器,关闭RSSI信号监测。3. The low-power intelligent router control method according to claim 1, characterized in that: the initial location is set as the basic coverage range set in the router, positioning technology is used to track the location of the mobile terminal, and 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 a 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.根据权利要求1所述的低功耗智能路由器控制方法,其特征在于:设计路由器功率调整指数与功率级别映射关系的步骤包括:4. The low-power intelligent router control method according to claim 1, wherein the step of designing a mapping relationship between a router power adjustment index and a power level comprises: 先将路由器发射功率调整级别划分为:基础级别(低功率)、标准级别(中功率)、高级别(高功率)、特殊级别(定制功率);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); 获取每次计算出的路由器功率调整指数;Obtain the router power adjustment index calculated each time; 根据路由器功率调整指数和路由器发射功率调整级别创建二者映射关系,每个功率调整指数对应相应的路由器发射功率调整级别,映射关系如下示出: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:→基础级别(低功率) 20: → Basic level (low power) 40:→标准级别(中功率) 40: → Standard level (medium power) 60:→高级别(高功率) 60: → High level (high power) 80:→特殊级别(定制功率)。 80: → Special level (customized power). 5.根据权利要求4所述的低功耗智能路由器控制方法,其特征在于:在对发射功率进行调整时,先获取功率调整指数所对应的路由器发射功率调整级别,通过路由器的管理接口将获取的路由器发射功率调整级别应用到路由器上,并实时监测调整后的RSSI信号。5. The low-power intelligent router control method according to claim 4, characterized in that: when adjusting the transmit power, the router transmit power adjustment level corresponding to the power adjustment index is first obtained, the obtained router transmit power adjustment level is applied to the router through the router management interface, and the adjusted RSSI signal is monitored in real time. 6.根据权利要求5所述的低功耗智能路由器控制方法,其特征在于:获取调整后的RSSI信号数值,对收集到的RSSI信号数值进行平均处理,得到RSSI信号数值的平均值,将该RSSI信号的平均值与调整之前的比对RSSI信号数值的平均值比对,根据平均值计算RSSI信号数值的标准差,再评估调整结果,步骤如下:6. The low-power intelligent router control method according to claim 5, characterized in that: obtaining the adjusted RSSI signal value, averaging the collected RSSI signal values to obtain an average value of the RSSI signal values, comparing the average value of the RSSI signal with the average value of the compared RSSI signal values before the adjustment, calculating the standard deviation of the RSSI signal values based on the average value, and then evaluating the adjustment result, the steps are as follows: 若调整后的RSSI信号数值平均值高于调整前,且标准差没有显著增加,则评估结果为“信号强度提升,优化有效”,继续获取移动终端的位置;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. 若调整前后的RSSI信号数值平均值相近,且标准差也保持在相似水平,则评估结果为“信号强度无明显变化,调整效果有限”,继续获取移动终端的位置;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. 若调整后的RSSI信号数值平均值低于调整前,且标准差显著增加,则评估结果为“信号强度下降”,将此时的RSSI信号数值的平均值与路由器中设定的基础覆盖范围RSSI信号数值进行比对,当基础覆盖范围RSSI信号数值大于该RSSI信号数值时,则维持原路由器设定的基础覆盖范围,反之,维持调整后的覆盖范围。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.
CN202510955586.5A 2025-07-11 2025-07-11 Low-power consumption intelligent router control method Active CN120475487B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202510955586.5A CN120475487B (en) 2025-07-11 2025-07-11 Low-power consumption intelligent router control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202510955586.5A CN120475487B (en) 2025-07-11 2025-07-11 Low-power consumption intelligent router control method

Publications (2)

Publication Number Publication Date
CN120475487A CN120475487A (en) 2025-08-12
CN120475487B true CN120475487B (en) 2025-09-23

Family

ID=96642787

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202510955586.5A Active CN120475487B (en) 2025-07-11 2025-07-11 Low-power consumption intelligent router control method

Country Status (1)

Country Link
CN (1) CN120475487B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120751414B (en) * 2025-08-26 2025-11-25 湖南嘉创信息科技发展有限公司 A wearable monitoring method and system based on UWB technology

Citations (2)

* Cited by examiner, † Cited by third party
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

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9198139B2 (en) * 2011-06-20 2015-11-24 Qualcomm Incorporated Methods and apparatus for deployment and control of base stations
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
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

Also Published As

Publication number Publication date
CN120475487A (en) 2025-08-12

Similar Documents

Publication Publication Date Title
US8019352B2 (en) System, method, and apparatus for determining and using the position of wireless devices or infrastructure for wireless network enhancements
US8786494B2 (en) Method to modify calibration data used to locate a mobile unit
Diaz et al. Bluepass: An indoor bluetooth-based localization system for mobile applications
US11388551B2 (en) Wireless network service assessment
CN120475487B (en) Low-power consumption intelligent router control method
US11252656B2 (en) Method and system for determining an optimal wireless channel for a Wi-Fi access point in a cloud-based software defined network using an application programming interface
WO2006017266A2 (en) System and method for localization over a wireless network
CN107992882A (en) A kind of occupancy statistical method based on WiFi channel condition informations and support vector machines
Subaashini et al. ZigBee RF signal strength for indoor location sensing-Experiments and results
WO2023083041A1 (en) Positioning method and apparatus, and storage medium
CN108235355A (en) A kind of environmental simulation method and device
Chipara et al. Practical modeling and prediction of radio coverage of indoor sensor networks
Bornholdt et al. Adaptive procedure for indoor localization using LoRa devices
Min et al. Exploiting spectrum heterogeneity in dynamic spectrum market
CN109899932B (en) Control method and device of air conditioner
US20170006452A1 (en) Cooperative scanning of wireless devices
CN118590989B (en) A Wi-Fi fingerprint indoor positioning method and system based on random forest
Long et al. A real-time algorithm for long range signal strength prediction in wireless networks
CN119997066A (en) Base station key parameter determination method, operation method, storage medium and base station
CN110912747A (en) Random geometry-based power wireless private network performance analysis method
Hou et al. Indoor location based on WiFi
JP7169036B2 (en) Cooperative spectral detection method based on backscattering and airborne computation
Zhang et al. A data-driven approach to client-transparent access selection of Dual-Band WiFi
Kaushal et al. Improving accuracy of beacon-based indoor positioning system using weighted adaptive KNN algorithm
Alam et al. Clustering for high accuracy coverage mapping

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant