CN107360599B - Intelligent wifi networking method and mobile terminal - Google Patents

Intelligent wifi networking method and mobile terminal Download PDF

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Publication number
CN107360599B
CN107360599B CN201710493048.4A CN201710493048A CN107360599B CN 107360599 B CN107360599 B CN 107360599B CN 201710493048 A CN201710493048 A CN 201710493048A CN 107360599 B CN107360599 B CN 107360599B
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wifi
value
user
habit
frequency
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CN107360599A (en
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张璐
程佳斌
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Nubia Technology Co Ltd
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Nubia Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/0005Control or signalling for completing the hand-off
    • H04W36/0055Transmission or use of information for re-establishing the radio link
    • H04W36/0066Transmission or use of information for re-establishing the radio link of control information between different types of networks in order to establish a new radio link in the target network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/0005Control or signalling for completing the hand-off
    • H04W36/0083Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00837Determination of triggering parameters for hand-off
    • H04W36/008375Determination of triggering parameters for hand-off based on historical data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/24Reselection being triggered by specific parameters
    • H04W36/32Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/16Discovering, processing access restriction or access information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0209Power saving arrangements in terminal devices
    • H04W52/0225Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
    • H04W52/0245Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal according to signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0209Power saving arrangements in terminal devices
    • H04W52/0225Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
    • H04W52/0248Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal dependent on the time of the day, e.g. according to expected transmission activity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0209Power saving arrangements in terminal devices
    • H04W52/0251Power saving arrangements in terminal devices using monitoring of local events, e.g. events related to user activity
    • H04W52/0258Power saving arrangements in terminal devices using monitoring of local events, e.g. events related to user activity controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W76/00Connection management
    • H04W76/10Connection setup
    • 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

Abstract

The invention discloses an intelligent wifi networking method and a mobile terminal, wherein the intelligent wifi networking method comprises the following steps: acquiring probability value of wifi usage habit of a user; and judging whether to start to scan the wifi signal and the frequency of the wifi signal according to the probability value of the habit of using the wifi by the user. According to the intelligent wifi networking method and the mobile terminal, the data channel can be intelligently switched according to the environment and the use habit of the user, and therefore the reduction of the power consumption of the terminal and the intelligent switching between wifi and mobile data are achieved.

Description

Intelligent wifi networking method and mobile terminal
Technical Field
The invention relates to the technical field of wifi networking, in particular to an intelligent wifi networking method and a mobile terminal.
Background
With the increase of wireless transmission speed, people have a growing preference to use video and audio to transmit information, and there are hot spots in office places, homes and frequent places to provide free access services for users. Under the condition of opening the wifi switch, the user moves to the place terminal that has the wifi to cover and can automatic search and link the network that is connected to before, can realize the function of automatic networking, but opens the wifi switch always and can increase the cell-phone consumption, causes the waste of power. Some users may choose to turn wifi off without using it, in which case the switch between wifi and mobile data is manually operated. In actual situations, users often forget to switch manually, which results in unnecessary waste of traffic. It can be seen that the selection of data channels by the current terminal is very inefficient.
Disclosure of Invention
The invention mainly aims to provide an intelligent wifi networking method and a mobile terminal, and aims to solve the problem that the current terminal cannot intelligently select a data channel.
In order to achieve the above object, the present invention provides an intelligent wifi networking method, which comprises:
s1, obtaining a probability value of a habit of using wifi of a user; the probability value of the habit of the user using wifi comprises an A value of an application of the habit of the user, a B value of a position of the habit of the user and/or a C value of a time of the habit of the user;
s2, judging whether to start to scan the wifi signal and the frequency of the wifi signal according to the probability value of the habit of using wifi by the user.
Optionally, step S2 further includes:
when the probability value of the habit of the user using the wifi comprises the value A, the wifi signal is scanned and the wifi signal is scanned at the first frequency.
Optionally, step S2 further includes:
when the probability value of the habit of using wifi of the user only comprises the B value and the C value, the probability value is the sum of the B value and the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
Optionally, step S2 further includes:
when the probability value of the habit of using wifi of the user only comprises a B value or a C value, the probability value is the B value or the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
Optionally, after step S2, the intelligent wifi networking method further includes:
s3, after determining that the wifi signal is scanned, in a first preset time, if the wifi signal is not scanned, reducing the scanning frequency;
if the wifi signal is not scanned within the time period which is longer than the first preset time and shorter than the second preset time, repeating the steps S1 and S2;
if the time for scanning the wifi signal is longer than the third preset time, terminating the scanning, and repeating the steps S1 and S2 after waiting for a period of time T0;
and the third preset time is greater than the second preset time.
Optionally, step S3 further includes:
within a third preset time, tuning the antenna to 2.4GHz to scan wifi signals; the antenna is tuned to the initial mobile communication band for standby for a waiting period of time T0.
Optionally, step S3 further includes: and in a third preset time, if the wifi signal is scanned, selecting and confirming connection or prompting a user to select and connect the selected wifi signal.
Optionally, in a third preset time, if one and only one wifi signal which is historically connected exists in the scanned wifi signals, opening a wifi channel to perform hotspot connection or prompting a user to perform connection;
if the scanned wifi signals contain a plurality of wifi signals which are connected historically, selecting the connected target hotspots by comparing the using frequency of the wifi signals with the current signal intensity of the wifi signals, and opening the wifi channel of the target hotspots to connect hotspots or prompting a user to connect.
The present invention also provides a mobile terminal, comprising: the intelligent wifi networking method comprises a memory, a processor and an intelligent wifi networking program which is stored on the memory and can run on the processor, wherein the steps of the intelligent wifi networking method are realized when the intelligent wifi networking program is executed by the processor.
In addition, in order to achieve the above object, the present invention further provides a computer readable storage medium, in which an intelligent wifi networking program is stored, and the intelligent wifi networking program implements the steps of the intelligent wifi networking method when being executed by a processor.
According to the intelligent wifi networking method and the mobile terminal, the data channel can be intelligently switched according to the environment and the use habit of the user, and therefore the reduction of the power consumption of the terminal and the intelligent switching between wifi and mobile data are achieved.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present invention;
fig. 2 is a diagram of a communication network system architecture according to an embodiment of the present invention;
FIG. 3 is a flowchart of an embodiment of an intelligent wifi networking method of the present invention;
fig. 4 is a functional module diagram of an embodiment of an intelligent wifi networking program of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), and TDD-LTE (Time Division duplex-Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and charging functions Entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.
Please refer to fig. 3, which is a flowchart illustrating an intelligent wifi networking method according to various embodiments of the present invention.
It should be noted that, in addition to the main and auxiliary antennas, the current mobile terminal adopts respective antennas and RF channels for GPS and wifi, and when a corresponding icon is opened on the UI of the mobile terminal, the RF channel corresponding to the icon is opened, so as to implement data transmission and reception. In view of the fact that the time that the user uses the mobile network signal is long in daily life, the radio frequency transceiver of the mobile network is adopted to periodically scan the 2.4GHz frequency band of the wifi, and whether the user is in a frequently-visited place or not and whether the wifi is safe and reliable or not is judged by combining the current network positioning result, so that the wifi is automatically connected or the user is prompted to be connected.
It should be further noted that the intelligent wifi networking method is applied in the situation of disconnection of wifi.
As shown in fig. 3, the intelligent wifi networking method includes the following steps.
S1, obtaining a probability value of a habit of using wifi of a user; wherein the probability value of the habit of the user using wifi comprises an A value of the application of the habit of the user using, a B value of the position of the habit of the user using and/or a C value of the time of the habit of the user using.
It should be noted that the application of the usage habit of the user mainly refers to: for example, there is no wifi connected currently, and the value a may be generated when the user opens an audio video APP or when there is another multimedia transmission task to occur. The positions of the use habits of the users mainly refer to: for example, when the user has wifi signals in the context of a previously recorded location where wifi is received, there is a high probability that the B value can be obtained through communication between the terminal and the base station. The time of the user's habit mainly refers to: for example, a user generally has a habit of using data at breakfast, lunch, going home after work in the evening, etc., and the value C is generated.
S2, judging whether to start to scan the wifi signal and the frequency of the wifi signal according to the probability value of the habit of using wifi by the user.
Specifically, the step S2 further includes: when the probability value of the habit of the user using the wifi comprises the value A, the wifi signal is scanned and the wifi signal is scanned at the first frequency.
It should be noted that when the probability value of the habit of the user using wifi includes the value a, the probability value of the habit of the user using wifi refers to the case that the probability value of the habit of the user using wifi includes the value a, the case that the probability value of the habit of the user using wifi includes the value a only, the case that the probability value includes the value a and the value B simultaneously, the case that the probability value includes the value a and the value C simultaneously, or the case that the probability value includes the value a, the value B and the value C simultaneously.
Step S2 further includes: when the probability value of the habit of using wifi of the user only comprises the B value and the C value, the probability value is the sum of the B value and the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
wherein the first frequency is greater than the second frequency.
Step S2 further includes: when the probability value of the habit of using wifi of the user only comprises the B value or the C value, the probability value is the B value or the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
wherein the first frequency is greater than the second frequency.
The intelligent wifi networking method further comprises the following steps after the step S2:
s3, after determining that the wifi signal is scanned, in a first preset time, if the wifi signal is not scanned, reducing the scanning frequency;
if the wifi signal is not scanned within the time period which is longer than the first preset time and shorter than the second preset time, repeating the steps S1 and S2;
if the wifi signal is scanned for a time greater than a third preset time, terminating the scanning, and repeating the steps S1 and S2 after waiting for a period of time T0.
It should be noted that the third preset time is longer than the second preset time.
Specifically, step S3 further includes:
within a third preset time, tuning the antenna to 2.4GHz to scan wifi signals; the antenna is tuned to the initial mobile communication band for standby for a waiting period of time T0.
Step S3 further includes: and in a third preset time, if the wifi signal is scanned, selecting and confirming connection or prompting a user to select and connect the selected wifi signal. Specifically, in a third preset time, if one and only one wifi signal which is historically connected exists in the scanned wifi signals, a wifi channel is opened to carry out hotspot connection or a user is prompted to carry out connection; if the scanned wifi signals contain a plurality of wifi signals which are connected historically, selecting the connected target hotspots by comparing the using frequency of the wifi signals with the current signal intensity of the wifi signals, and opening the wifi channel of the target hotspots to connect hotspots or prompting a user to connect.
The present invention also provides a mobile terminal 100, the mobile terminal 100 comprising an intelligent wifi networking program 300 stored on a memory 109 and operable on a processor 110, the intelligent wifi networking program 300 being divisible into one or more modules, the one or more modules being stored in the memory 109 of the mobile terminal 100 and being executed by the one or more processors 110 to accomplish the present invention. For example, in fig. 4, the intelligent wifi networking program 300 is segmented into a probability value acquisition module 301, a wifi signal scanning module 302, and a wifi connection module 303. The module referred to in the present invention refers to a series of computer program instruction segments capable of performing specific functions, and is more suitable than a computer program for describing the execution process of software in the mobile terminal 100. The specific functions of the above functional blocks will be described in detail below.
The probability value obtaining module 301 is configured to obtain a probability value of a habit of a user using wifi. The probability value of the habit of the user using wifi comprises an A value of the application of the habit of the user, a B value of the position of the habit of the user and/or a C value of the time of the habit of the user.
It should be noted that the application of the usage habit of the user mainly refers to: for example, there is no wifi connected currently, and the value a may be generated when the user opens an audio video APP or when there is another multimedia transmission task to occur. The positions of the use habits of the users mainly refer to: for example, when the user has wifi signals in the context of a previously recorded location where wifi is received, there is a high probability that the B value can be obtained through communication between the terminal and the base station. The time of the user's habit mainly refers to: for example, a user generally has a habit of using data at breakfast, lunch, going home after work in the evening, etc., and the value C is generated.
The wifi signal scanning module 302 is configured to determine whether to start scanning wifi signals and scan the frequency of wifi signals according to probability values of habits of users using wifi.
wifi signal scanning module 302 is also to: when the probability value of the habit of the user using the wifi comprises the value A, the wifi signal is scanned and the wifi signal is scanned at the first frequency.
It should be noted that when the probability value of the habit of the user using wifi includes the value a, the probability value of the habit of the user using wifi refers to the case that the probability value of the habit of the user using wifi includes the value a, the case that the probability value of the habit of the user using wifi includes the value a only, the case that the probability value includes the value a and the value B simultaneously, the case that the probability value includes the value a and the value C simultaneously, or the case that the probability value includes the value a, the value B and the value C simultaneously.
wifi signal scanning module 302 is also to: when the probability value of the habit of using wifi of the user only comprises the B value and the C value, the probability value is the sum of the B value and the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
wifi signal scanning module 302 is also to: when the probability value of the habit of using wifi of the user only comprises a B value or a C value, the probability value is the B value or the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
The wifi connection module 303 is configured to: after the wifi signal is determined to be scanned, in a first preset time, if the wifi signal is not scanned, the scanning frequency is reduced;
the wifi connection module 303 is further configured to: if the wifi signal is not scanned within the time period which is longer than the first preset time and shorter than the second preset time, repeating the steps S1 and S2;
the wifi connection module 303 is further configured to: when the time for scanning the wifi signal is longer than the third preset time, terminating the scanning, and repeating the steps S1 and S2 after waiting for a period of time T0;
and the third preset time is greater than the second preset time.
The wifi connection module 303 is further configured to: within a third preset time, tuning the antenna to 2.4GHz to scan wifi signals; if the antenna is tuned to the initial mobile communication frequency band for waiting for a period of time T0, standby is performed.
The wifi connection module 303 is further configured to: and in a third preset time, if the wifi signal is scanned, selecting and confirming connection or prompting a user to select and connect the selected wifi signal.
The wifi connection module 303 is further configured to: in a third preset time, if one and only one wifi signal which is historically connected exists in the scanned wifi signals, opening a wifi channel for hot spot connection or prompting a user to connect;
if the scanned wifi signals contain a plurality of wifi signals which are connected historically, selecting the connected target hotspots by comparing the using frequency of the wifi signals with the current signal intensity of the wifi signals, and opening the wifi channel of the target hotspots to connect hotspots or prompting a user to connect.
The invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with an intelligent wifi networking program, and the intelligent wifi networking program realizes the steps of the intelligent wifi networking method when being executed by the processor.
According to the intelligent wifi networking method and the mobile terminal, the data channel can be intelligently switched according to the environment and the use habit of the user, and therefore the reduction of the power consumption of the terminal and the intelligent switching between wifi and mobile data are achieved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (9)

1. An intelligent wifi networking method is characterized by comprising the following steps:
s1, obtaining a probability value of a habit of using wifi of a user; the probability value of the habit of the user using wifi comprises an A value of an application of the habit of the user using and/or a B value of a position of the habit of the user using and/or a C value of a time of the habit of the user using;
s2, judging whether to start to scan wifi signals and the frequency of the wifi signals according to the probability value of the habit of using wifi by a user;
the intelligent wifi networking method further comprises after the step S2:
s3, after determining that the wifi signal is scanned, in a first preset time, if the wifi signal is not scanned, reducing the scanning frequency;
if the wifi signal is not scanned within the time period which is longer than the first preset time and shorter than the second preset time, repeating the steps S1 and S2;
if the time for scanning the wifi signal is longer than the third preset time, terminating the scanning, and repeating the steps S1 and S2 after waiting for a period of time T0;
and the third preset time is greater than the second preset time.
2. The intelligent wifi networking method of claim 1, wherein step S2 further includes:
when the probability value of the habit of the user using the wifi comprises the value A, the wifi signal is scanned and the wifi signal is scanned at the first frequency.
3. The intelligent wifi networking method of claim 2, wherein step S2 further includes:
when the probability value of the habit of using wifi of the user only comprises the B value and the C value, the probability value is the sum of the B value and the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
4. The intelligent wifi networking method of claim 2, wherein step S2 further includes:
when the probability value of the habit of using wifi of the user only comprises a B value or a C value, the probability value is the B value or the C value;
if the probability value of the habit of using the wifi by the user is larger than a second threshold value, starting to scan the wifi signal and scanning the wifi signal at a first frequency;
if the probability value of the habit of using the wifi by the user is larger than the first threshold value and smaller than the second threshold value, starting to scan the wifi signal and scanning the wifi signal at a second frequency;
the first frequency is greater than the second frequency.
5. The intelligent wifi networking method of claim 1, wherein step S3 further includes:
within a third preset time, tuning the antenna to 2.4GHz to scan wifi signals; the antenna is tuned to the initial mobile communication band for standby for a waiting period of time T0.
6. The intelligent wifi networking method of claim 1, wherein step S3 further includes: and in a third preset time, if the wifi signal is scanned, selecting and confirming connection or prompting a user to select and connect the selected wifi signal.
7. The intelligent wifi networking method of claim 6, characterized in that in a third preset time, if there is one and only one wifi signal that has been historically connected in the scanned wifi signals, then a wifi channel is opened to perform hot spot connection or prompt a user to perform connection;
if the scanned wifi signals contain a plurality of wifi signals which are connected historically, selecting the connected target hotspots by comparing the using frequency of the wifi signals with the current signal intensity of the wifi signals, and opening the wifi channel of the target hotspots to connect hotspots or prompting a user to connect.
8. A mobile terminal, characterized in that the mobile terminal comprises: memory, processor and an intelligent wifi networking program stored on the memory and operable on the processor, the intelligent wifi networking program when executed by the processor implementing the steps of the intelligent wifi networking method of any of claims 1-7.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon an intelligent wifi networking program, which when executed by a processor implements the steps of the intelligent wifi networking method of any of claims 1 to 7.
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