CN109068372B - Proximity-aware network creation method and related product - Google Patents
Proximity-aware network creation method and related product Download PDFInfo
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- CN109068372B CN109068372B CN201810828382.5A CN201810828382A CN109068372B CN 109068372 B CN109068372 B CN 109068372B CN 201810828382 A CN201810828382 A CN 201810828382A CN 109068372 B CN109068372 B CN 109068372B
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Abstract
The embodiment of the application discloses a method for creating a proximity-aware network and a related product, which are applied to electronic equipment, and the method comprises the following steps: receiving an access request sent by first equipment, wherein the access request carries first usage record information of a third-party application of the first equipment, and the access request is used for requesting to access a target NAN network established by the electronic equipment; determining an interaction correlation value between the first device and the electronic device according to the first usage record information; and when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network. By adopting the method and the device, the NAN network can be created through the relevance between the devices, and the security of the NAN network is improved.
Description
Technical Field
The present application relates to the field of electronic device technologies, and in particular, to a method for creating a proximity awareness network and a related product.
Background
With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.
A Neighbor Awareness Network (NAN) is applied between electronic devices, and a NAN network refers to a local area network in which NAN devices are directly or indirectly connected together, information can be directly circulated, the local area network is a local area network in which multiple devices are already connected with each other, and the problem of how to create the NAN network is urgently solved, which is different from a cluster in a protocol.
Disclosure of Invention
The embodiment of the application provides a neighbor awareness network creating method and a related product, which can create a NAN network through relevance between devices and improve the security of the NAN network.
In a first aspect, an embodiment of the present application provides a method for creating a proximity-aware network, which is applied to an electronic device, and includes:
receiving an access request sent by first equipment, wherein the access request carries first usage record information of a third-party application of the first equipment, and the access request is used for requesting to access a target NAN network established by the electronic equipment;
determining an interaction correlation value between the first device and the electronic device according to the first usage record information;
and when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network.
In a second aspect, an embodiment of the present application provides a proximity-aware network creation apparatus, applied to an electronic device, where the proximity-aware network creation apparatus includes:
a receiving unit, configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device;
a determining unit, configured to determine an interaction correlation value between the first device and the electronic device according to the first usage record information;
a creating unit, configured to allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that the neighbor awareness network creating method and the related product described in the embodiments of the present application are applied to an electronic device, and are configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, determine an interaction correlation value between the first device and the electronic device according to the first usage record information, and allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value, so that the NAN network can be created through the correlation between the devices, and the security of the NAN network is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a network architecture diagram for implementing a proximity-aware network creation method disclosed in an embodiment of the present application;
fig. 1C is a schematic flowchart of a method for creating a proximity-aware network according to an embodiment of the present application;
fig. 1D is a schematic illustration showing a method for creating a proximity-aware network according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another method for creating a proximity-aware network disclosed in an embodiment of the present application;
fig. 3 is a schematic flowchart of another method for creating a proximity-aware network according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present application;
fig. 5A is a schematic structural diagram of a proximity-aware network creation apparatus disclosed in an embodiment of the present application;
fig. 5B is another schematic structural diagram of a proximity-aware network creation apparatus disclosed in this embodiment of the present application;
fig. 5C is another schematic structural diagram of a proximity-aware network creation apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic devices involved in the embodiments of the present application may include various handheld devices (e.g., smart phones), vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems with wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices, and the specific physical forms of the first device and the second device in the embodiments of the present application can be considered as the above-mentioned electronic devices.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device includes a control circuit and an input-output circuit, and the input-output circuit is connected to the control circuit.
The control circuitry may include, among other things, storage and processing circuitry. The storage circuit in the storage and processing circuit may be a memory, such as a hard disk drive memory, a non-volatile memory (e.g., a flash memory or other electronically programmable read only memory used to form a solid state drive, etc.), a volatile memory (e.g., a static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. Processing circuitry in the storage and processing circuitry may be used to control the operation of the electronic device. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuitry may be used to run software in the electronic device, such as play incoming call alert ringing application, play short message alert ringing application, play alarm alert ringing application, play media file application, Voice Over Internet Protocol (VOIP) phone call application, operating system functions, and so forth. The software may be used to perform some control operations, such as playing an incoming alert ring, playing a short message alert ring, playing an alarm alert ring, playing a media file, making a voice phone call, and performing other functions in the electronic device, and the embodiments of the present application are not limited.
The input-output circuit can be used for enabling the electronic device to input and output data, namely allowing the electronic device to receive data from the external device and allowing the electronic device to output data from the electronic device to the external device.
The input-output circuit may further include a sensor. The sensors may include ambient light sensors, optical and capacitive based infrared proximity sensors, ultrasonic sensors, touch sensors (e.g., optical based touch sensors and/or capacitive touch sensors, where the touch sensors may be part of a touch display screen or may be used independently as a touch sensor structure), acceleration sensors, gravity sensors, and other sensors, etc. The input-output circuit may further include audio components that may be used to provide audio input and output functionality for the electronic device. The audio components may also include a tone generator and other components for generating and detecting sound.
The input-output circuitry may also include one or more display screens. The display screen can comprise one or a combination of a liquid crystal display screen, an organic light emitting diode display screen, an electronic ink display screen, a plasma display screen and a display screen using other display technologies. The display screen may include an array of touch sensors (i.e., the display screen may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.
The input-output circuitry may further include communications circuitry that may be used to provide the electronic device with the ability to communicate with external devices. The communication circuitry may include analog and digital input-output interface circuitry, and wireless communication circuitry based on radio frequency signals and/or optical signals. The wireless communication circuitry in the communication circuitry may include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in the communication circuitry may include circuitry to support Near Field Communication (NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, the communication circuit may include a near field communication antenna and a near field communication transceiver. The communications circuitry may also include cellular telephone transceiver and antennas, wireless local area network transceiver circuitry and antennas, and so forth.
The input-output circuit may further include other input-output units. Input-output units may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.
The electronic device may further include a battery (not shown) for supplying power to the electronic device.
Referring to fig. 1B, fig. 1B is a network architecture diagram of a system for implementing a proximity-aware network creation method according to an embodiment of the present application, where the network architecture diagram includes an electronic device, a first device, a second device, and, of course, other devices may also be included, which are not limited herein, and specifically, the first device sends an access request to the electronic device, and the electronic device receives an access request sent by the first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device; determining an interaction correlation value between the first device and the electronic device according to the first usage record information; and when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network.
Based on the electronic device shown in fig. 1A and the system shown in fig. 1B, the following proximity-aware network creation method may be performed, specifically as follows:
the communication circuit receives an access request sent by first equipment, wherein the access request carries first usage record information of a third-party application of the first equipment, and the access request is used for requesting to access a target NAN network established by the electronic equipment;
the processing circuit determines an interaction correlation value between the first device and the electronic device according to the first usage record information; and when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network.
The following describes embodiments of the present application in detail.
Referring to fig. 1C, fig. 1C is a schematic flowchart of a method for creating a proximity-aware network according to an embodiment of the present application, which is applied to the electronic device described in fig. 1A, and the method for creating a proximity-aware network includes the following steps 101 and 104.
101. Receiving an access request sent by a first device, wherein the access request carries first usage record information of a third-party application of the first device, and the access request is used for requesting to access a target NAN network established by the electronic device.
In this embodiment of the present application, the third-party application may be at least one of the following: social applications (e.g., WeChat, QQ, etc.), video applications, payment applications, shopping applications, etc., without limitation. The first usage record may include at least one of: account information, password information, registration information, interaction information (e.g., chat information, sharing information (e.g., circle of friends @ function)), and the like, which are not limited herein. Specifically, the electronic device may receive an access request of the first device, the access request carrying first usage record information of a third party application of the first device, the access request requesting access to a target NAN network established by the electronic device.
102. And determining an interaction correlation value between the first device and the electronic device according to the first usage record information.
In the embodiment of the present application, the interaction correlation value is used to represent a degree of correlation between the electronic device and the first device. The electronic device may determine an interaction correlation value between the first device and the electronic device according to the first usage record information, and specifically, may determine the interaction correlation value between the first device and the electronic device according to the account information, for example, if the user logs in through the account a via the first device, and also logs in through the account a via the electronic device, a certain correlation exists between the first device and the electronic device, and for example, if the electronic device is previously connected to the first device, a certain correlation exists between the electronic device and the first device, and so on.
Optionally, in the step 102, the determining an interaction correlation value between the first device and the electronic device according to the first usage record information may include the following steps:
21. acquiring second use record information of the third-party application in the electronic equipment;
22. and determining an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
The third-party application may also be used in the electronic device, and taking WeChat as an example, if the electronic device logs in the account A1, the first device logs in the account A2, and the account A1 and the account A2 are in a friend relationship, or if the electronic device communicates, a certain relationship exists between the first device and the electronic device. Based on this, in particular, the electronic device may obtain second usage record information of a third-party application in the electronic device, and determine an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
Optionally, in the step 22, determining the interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information may include the following steps:
221. extracting account information in the first use record information to obtain first account information;
222. extracting target use record information corresponding to the first account information from the second use record;
223. and determining an interaction correlation value between the first equipment and the electronic equipment according to the target usage record information.
The electronic device may extract account information in the first usage record information to obtain first account information, further extract target usage record information corresponding to the first account information from the second usage record according to the first account information, and determine an interaction correlation value between the first device and the electronic device according to the target usage record information, for example, may determine the number of pieces of information of the target usage record information, determine the interaction correlation value between the first device and the electronic device according to the number of pieces of information, for example, may determine the memory size of the target usage record information, and determine the interaction correlation value between the electronic device and the first device according to the memory size.
103. And when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network.
Wherein, the preset threshold value can be set by the user or the default of the system. The electronic device may allow the first device to access the target NAN device when the interaction correlation value is greater than the preset threshold value, and may not allow the first device to access the target NAN network when the interaction correlation value is less than or equal to the preset threshold value.
Optionally, the access request further carries unique identification information of the first device; the embodiment of the application can further comprise the following steps:
a1, when the unique identification information belongs to a preset identification information set, allowing the first device to access the target NAN network;
a2, when the unique identification information does not belong to the preset identification information set, executing the step of determining the interaction correlation value between the first device and the electronic device according to the first usage record information.
The preset identification information set can be set by a user or defaulted by a system. In this embodiment, the unique identification information may include at least one of the following: a telephone number, an Integrated Circuit Card Identifier (ICCID), an International Mobile Equipment Identifier (IMEI), a MAC address, etc., which are not limited herein. Specifically, the access request may further carry unique identification information of the first device, and if the unique identification information belongs to the preset identification information set, the first device is allowed to access the target NAN network, otherwise, when the unique identification information does not belong to the preset identification information set, step 102 is executed.
Optionally, between the step 101 and the step 102, the following steps may be further included:
b1, detecting a target distance between the electronic equipment and the first equipment;
b2, when the target distance is in the preset range, executing the step of determining the interactive correlation value between the first device and the electronic device according to the first usage record information.
The preset range can be set by the user or defaulted by the system. The electronic device may perform scanning, when the first device is scanned, detect a target signal intensity value of the first device, determine a target distance corresponding to the target signal intensity value according to a mapping relationship between a preset distance and the signal intensity value, and execute step 102 when the target distance is within a preset range, otherwise, not execute step 102, so that the first device within a certain range may be allowed to access the NAN network.
Optionally, the embodiment of the present application may further include the following steps:
c1, receiving the brain wave signals and the target heart rate data sent by the first equipment;
c2, determining a target emotion corresponding to the brain wave signal;
c3, when the target emotion is a preset emotion, matching the target heart rate data with preset heart rate data corresponding to the preset emotion;
and C4, when the target heart rate data is successfully matched with the preset heart rate data, executing the step of allowing the first device to access the target NAN network.
The preset emotion can be set by the user or defaulted by the system. In the embodiment of the present application, the emotion may include at least one of the following types: happiness, anger, sadness, happiness, tiredness, melancholia, depression, irritability, fear, worry, etc., to which the present application does not intend to be limited. Under different emotions, the heart rate data of the user are different, so that the preset heart rate data under different emotions can be stored in advance in the embodiment of the application. The first device may be provided with a brain wave sensor for collecting brain wave signals of the user, the brain wave signals bearing the emotion of the user to some extent, and thus, the target emotion of the user may be determined according to the brain wave signals. The target heart rate data may be at least one of: heart rate, heart rate amplitude, electrocardiogram, etc., without limitation. The first device can acquire target heart rate data through a heart rate sensor according to a preset frequency, and the preset frequency is set by a user or is set by a system in a default mode. The preset heart rate data can be set by a user or default in a system, the electronic equipment can analyze the emotion of the user through brain wave signals, then when the emotion of the user is the preset emotion, the target heart rate data can be matched with the preset heart rate data, and when the target heart rate data is successfully matched with the preset heart rate data, the step of allowing the first equipment to be accessed to the target NAN network is executed. Therefore, each user in the NAN network can be guaranteed to be in the same mood, and the whole atmosphere of the NAN network is favorably improved.
Optionally, in the step C2, the determining the target emotion corresponding to the brain wave signal may include the following steps:
c21, preprocessing the brain wave signal to obtain a reference brain wave signal;
c22, sampling and quantizing the reference brain wave signal to obtain a discrete brain wave signal;
c23, performing feature extraction on the discrete brain wave signals to obtain target feature values;
and C24, determining the target emotion corresponding to the target characteristic value according to the mapping relation between the preset characteristic value and the emotion.
Wherein, the pretreatment may be at least one of the following: signal amplification, filtering (low-pass filtering, high-pass filtering, band-pass filtering, etc.), signal separation (e.g., brain wave signals of a plurality of users, separation of brain wave signals of a specified user, or brain wave signals including a plurality of neurons, separation of brain wave signals of neurons related to emotion), and the like. After the brain wave signals are preprocessed, sampling and quantizing the reference brain wave signals to obtain discrete brain wave signals, wherein the sampling and quantizing can reduce data volume and improve analysis efficiency, and feature extraction can be performed on the discrete brain wave signals to obtain target feature values, and the feature values can be at least one of the following: waveform, extremum, period, peak, amplitude, etc. The mapping relation between the characteristic value and the emotion can be stored in the electronic equipment in advance, and then the target emotion corresponding to the target characteristic value can be determined according to the mapping relation between the preset characteristic value and the emotion, so that the emotion of the user can be reflected through the brain wave signal, and misoperation can be effectively reduced.
In addition, the electronic device may match the target heart rate data with preset heart rate data corresponding to a preset emotion, for example, when the target heart rate data is a first heart rate number and the preset heart rate data is a second heart rate number, and when a difference between the first heart rate number and the second heart rate number is smaller than a preset difference, it is determined that the matching is successful, and the preset difference may be set by a user or default to a system. For another example, when the target heart rate data is a first electrocardiogram and the preset heart rate data is a second electrocardiogram, the first electrocardiogram and the second electrocardiogram are matched.
Optionally, the step C4 of matching the target heart rate data with the preset heart rate data corresponding to the preset emotion may include the following steps:
c41, matching the first heartbeat frequency with a second heartbeat frequency;
c42, matching the first electrocardiogram with the second electrocardiogram;
and C43, when the first heartbeat frequency is successfully matched with the second heartbeat frequency and the first electrocardiogram is successfully matched with the second electrocardiogram, confirming that the target heart rate data is successfully matched with the preset heart rate data.
When the target heart rate data comprise the heart rate times and the electrocardiogram, and both the heart rate times and the electrocardiogram in the preset heart rate data are required to be successfully matched, the target heart rate data and the preset heart rate data are confirmed to be successfully matched.
Optionally, the step C42, matching the first electrocardiogram with the second electrocardiogram, may include the following steps:
c421, determining a plurality of extreme points of the second electrocardiogram;
c422, determining the target mean square deviations of the extreme points;
c423, comparing the target mean square error with a preset mean square error corresponding to the second electrocardiogram;
and C424, when the difference value between the target mean square error and the preset mean square error is within a preset error range, confirming that the first electrocardiogram and the second electrocardiogram are successfully matched.
The electronic equipment can extract a plurality of extreme points of the electrocardiogram, the extreme points can comprise a maximum value and a minimum value, the mean square error of the extreme points can be determined, the mean square error expresses the emotion fluctuation of the user to a certain extent, therefore, under each emotion, the emotion fluctuation is in a certain range, the preset error range can be set by the user, or the system is default. Therefore, the target mean square error can be compared with a preset mean square error corresponding to the second electrocardiogram, and when the difference value between the target mean square error and the preset mean square error is within a preset error range, the first electrocardiogram and the second electrocardiogram are successfully matched, otherwise, the matching fails.
By way of example, how the mean square error is obtained is explained in detail below.
Assume that the following 5 extreme points A, B, C, D and E exist,then, the average of the 5 extreme points
Can be as follows:
further, the mean square error σ of the extreme point can be obtained.
It should be noted that the mean square error σ obtained as described above may be referred to as a mean square error.
For example, as shown in fig. 1D, a device a and a device B establish a NAN interconnection network, if a device C and a device D are provided, the device E wants to connect to form a group, taking the device C as an example, the device C sends request information to the device a, the request information carries unique IMEI identification information and usage record information (such as account information, registration information, and the like) of the IMEI identification information in a third-party application, the device a determines whether the IMEI identification information is in a preset identification information set, if so, the IMEI identification information is directly connected, otherwise, the device a calculates an interaction association value between the device a and the device C through the usage record information of the third-party application of the device C, and if the interaction association value is greater than a preset threshold, the device C is allowed to join the NAN network Device D and device E may be grouped into a group.
It can be seen that the neighbor awareness network creating method described in the embodiment of the present application is applied to an electronic device, and is configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, determine an interaction correlation value between the first device and the electronic device according to the first usage record information, and allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value, so that the NAN network can be created through the correlation between the devices, and the security of the NAN network is improved.
Consistent with the above, fig. 2 is a flowchart illustrating a method for creating a proximity-aware network disclosed in an embodiment of the present application. Applied to the electronic device shown in fig. 1A and the system shown in fig. 1B, the method for creating a proximity-aware network includes the following steps 201 and 206.
201. Receiving an access request sent by a first device, wherein the access request carries first usage record information of a third-party application of the first device, and the access request is used for requesting to access a target NAN network established by the electronic device.
202. And determining an interaction correlation value between the first device and the electronic device according to the first usage record information.
203. And receiving the brain wave signals and the target heart rate data sent by the first equipment when the cross-correlation value is greater than a preset threshold value.
204. And determining the target emotion corresponding to the brain wave signal.
205. And when the target emotion is a preset emotion, matching the target heart rate data with preset heart rate data corresponding to the preset emotion.
206. And when the target heart rate data is successfully matched with the preset heart rate data, allowing the first device to access the target NAN network.
The detailed description of the above steps 201 to 206 may refer to the corresponding description of the method for creating a proximity aware network described in fig. 1C, and is not repeated herein.
It can be seen that the method for creating a neighbor awareness network described in the embodiments of the present application is applied to an electronic device, receives an access request sent by a first device, where the access request carries first usage record information of a third party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, determines an interaction correlation value between the first device and the electronic device according to the first usage record information, receives a brain wave signal and target heart rate data sent by the first device when the interaction correlation value is greater than a preset threshold value, determines a target emotion corresponding to the brain wave signal, matches the target heart rate data with preset heart rate data corresponding to a preset emotion when the target emotion is the preset emotion, and allows the first device to access the target NAN network when the target heart rate data is successfully matched with the preset heart rate data, and thus, the NAN network can be created through the relevance between the devices, and the security of the NAN network is improved.
Consistent with the above, fig. 3 is a flowchart illustrating a method for creating a proximity-aware network disclosed in an embodiment of the present application. Applied to the electronic device shown in fig. 1A and the system shown in fig. 1B, the method for creating a proximity-aware network includes the following steps 301-304.
301. The method comprises the steps that a first device sends an access request to an electronic device, wherein the access request carries first usage record information of a third-party application of the first device, and the access request is used for requesting to access a target NAN network established by the electronic device.
302. The electronic equipment receives an access request sent by first equipment.
303. The electronic equipment determines an interaction correlation value between the first equipment and the electronic equipment according to the first usage record information;
304. and when the interaction correlation value is larger than a preset threshold value, the electronic equipment allows the first equipment to access the target NAN network.
The detailed descriptions of steps 301 to 304 may refer to the corresponding descriptions of the neighbor awareness network creating method described in fig. 1C, and are not repeated herein.
It can be seen that, in the method for creating a neighbor awareness network described in this embodiment of the application, an electronic device receives an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, and determines an interaction correlation value between the first device and the electronic device according to the first usage record information, and when the interaction correlation value is greater than a preset threshold value, the first device is allowed to access the target NAN network, so that a NAN network can be created through the correlation between the devices, and the security of the NAN network is improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another electronic device disclosed in the embodiment of the present application, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:
receiving an access request sent by first equipment, wherein the access request carries first usage record information of a third-party application of the first equipment, and the access request is used for requesting to access a target NAN network established by the electronic equipment;
determining an interaction correlation value between the first device and the electronic device according to the first usage record information;
and when the interaction correlation value is larger than a preset threshold value, allowing the first device to access the target NAN network.
It can be seen that, in the electronic device described in this embodiment of the present application, an access request sent by a first device is received, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, an interaction correlation value between the first device and the electronic device is determined according to the first usage record information, and when the interaction correlation value is greater than a preset threshold value, the first device is allowed to access the target NAN network, so that a NAN network can be created through the correlation between the devices, and the security of the NAN network is improved.
In one possible example, in the determining of the interaction correlation value between the first device and the electronic device according to the first usage record information, the program includes instructions for:
acquiring second use record information of the third-party application in the electronic equipment;
and determining an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
In one possible example, in the determining of the interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information, the program includes instructions for performing the following steps:
extracting account information in the first use record information to obtain first account information;
extracting target use record information corresponding to the first account information from the second use record;
and determining an interaction correlation value between the first equipment and the electronic equipment according to the target usage record information.
In one possible example, the access request further carries unique identification information of the first device;
the program further includes instructions for performing the steps of:
when the unique identification information belongs to a preset identification information set, allowing the first device to access the target NAN network;
and when the unique identification information does not belong to the preset identification information set, executing the step of determining the interaction correlation value between the first device and the electronic device according to the first usage record information.
In one possible example, the program further includes instructions for performing the steps of:
detecting a target distance between the electronic device and the first device;
and when the target distance is in a preset range, executing the step of determining the interactive correlation value between the first device and the electronic device according to the first usage record information.
In one possible example, the program further includes instructions for performing the following steps
Receiving brain wave signals and target heart rate data transmitted by the first device;
determining a target emotion corresponding to the brain wave signal;
when the target emotion is a preset emotion, matching the target heart rate data with preset heart rate data corresponding to the preset emotion;
and when the target heart rate data is successfully matched with the preset heart rate data, executing the step of allowing the first device to access the target NAN network.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 5A, fig. 5A is a schematic structural diagram of a proximity-aware network creation apparatus disclosed in an embodiment of the present application, which is applied to the electronic device shown in fig. 1A and the system shown in fig. 1B, where the proximity-aware network creation apparatus 500 includes a receiving unit 501, a determining unit 502, and a creating unit 503, where:
a receiving unit 501, configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device;
a determining unit 502, configured to determine an interaction correlation value between the first device and the electronic device according to the first usage record information;
a creating unit 503, configured to allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value.
It can be seen that the neighbor awareness network creating apparatus described in this embodiment of the application is applied to an electronic device, and is configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device, determine an interaction correlation value between the first device and the electronic device according to the first usage record information, and allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value, so that the NAN network can be created through the correlation between the devices, and the security of the NAN network is improved.
In a possible example, in the aspect of determining the interaction correlation value between the first device and the electronic device according to the first usage record information, the determining unit 502 is specifically configured to:
acquiring second use record information of the third-party application in the electronic equipment;
and determining an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
In a possible example, in the aspect of determining the interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information, the determining unit 502 is specifically configured to:
extracting account information in the first use record information to obtain first account information;
extracting target use record information corresponding to the first account information from the second use record;
and determining an interaction correlation value between the first equipment and the electronic equipment according to the target usage record information.
In one possible example, the access request further carries unique identification information of the first device;
the creating unit 503 is specifically configured to:
when the unique identification information belongs to a preset identification information set, allowing the first device to access the target NAN network;
and when the unique identification information does not belong to the preset identification information set, executing the step of determining the interaction correlation value between the first device and the electronic device according to the first usage record information.
In one possible example, as shown in fig. 5B, fig. 5B is a further variant of the proximity-aware network creation apparatus described in fig. 5A, which may further include, compared with fig. 5A: the detection unit 504 is specifically as follows:
a detection unit 504, configured to detect a target distance between the electronic device and the first device; when the target distance is within the preset range, the determining unit 502 performs the step of determining the interaction correlation value between the first device and the electronic device according to the first usage record information.
In one possible example, as shown in fig. 5C, fig. 5C is a further variant of the proximity-aware network creation apparatus described in fig. 5A, which may further include, compared with fig. 5A: the matching unit 505 specifically includes the following:
the receiving unit 501 is used for receiving the brain wave signals and the target heart rate data sent by the first device;
the determining unit 502 is further configured to determine a target emotion corresponding to the brain wave signal;
the matching unit 505 is configured to match the target heart rate data with preset heart rate data corresponding to a preset emotion when the target emotion is the preset emotion; when the target heart rate data is successfully matched with the preset heart rate data, the creating unit 503 executes the step of allowing the first device to access the target NAN network.
It should be noted that the electronic device described in the embodiments of the present application is presented in the form of a functional unit. The term "unit" as used herein is to be understood in its broadest possible sense, and objects used to implement the functions described by the respective "unit" may be, for example, an integrated circuit ASIC, a single circuit, a processor (shared, dedicated, or chipset) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that provide the described functionality.
The receiving unit 501, the determining unit 502, the creating unit 503, the detecting unit 504 and the matching unit 505 may be control circuits or processors, among others.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the proximity-aware network creation methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the proximity-aware network creation methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (9)
1. A method for creating a proximity-aware network, applied to an electronic device, includes:
receiving an access request sent by first equipment, wherein the access request carries first usage record information of a third-party application of the first equipment, and the access request is used for requesting to access a target NAN network established by the electronic equipment;
determining an interaction correlation value between the first device and the electronic device according to the first usage record information;
judging whether the interactive correlation value is larger than a preset threshold value or not;
receiving the brain wave signals and target heart rate data sent by the first equipment when the cross correlation value is larger than a preset threshold value; determining a target emotion corresponding to the brain wave signal; when the target emotion is a preset emotion, matching the target heart rate data with preset heart rate data corresponding to the preset emotion;
and when the target heart rate data is successfully matched with the preset heart rate data, allowing the first device to access the target NAN network.
2. The method of claim 1, wherein the determining an interaction correlation value between the first device and the electronic device according to the first usage record information comprises:
acquiring second use record information of the third-party application in the electronic equipment;
and determining an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
3. The method of claim 2, wherein determining the interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information comprises:
extracting account information in the first use record information to obtain first account information;
extracting target use record information corresponding to the first account information from the second use record;
and determining an interaction correlation value between the first equipment and the electronic equipment according to the target usage record information.
4. The method according to any of claims 1-3, wherein the access request further carries unique identification information of the first device;
the method further comprises the following steps:
when the unique identification information belongs to a preset identification information set, allowing the first device to access the target NAN network;
and when the unique identification information does not belong to the preset identification information set, executing the step of determining the interaction correlation value between the first device and the electronic device according to the first usage record information.
5. The method according to any one of claims 1-3, further comprising:
detecting a target distance between the electronic device and the first device;
and when the target distance is in a preset range, executing the step of determining the interactive correlation value between the first device and the electronic device according to the first usage record information.
6. A proximity-aware network creation apparatus, applied to an electronic device, the apparatus comprising:
a receiving unit, configured to receive an access request sent by a first device, where the access request carries first usage record information of a third-party application of the first device, and the access request is used to request to access a target NAN network established by the electronic device;
a determining unit, configured to determine an interaction correlation value between the first device and the electronic device according to the first usage record information;
the receiving unit is further used for receiving the brain wave signals and the target heart rate data sent by the first equipment;
the determining unit is further used for determining a target emotion corresponding to the brain wave signal;
the matching unit is used for matching the target heart rate data with preset heart rate data corresponding to a preset emotion when the target emotion is the preset emotion;
a creating unit, configured to allow the first device to access the target NAN network when the interaction correlation value is greater than a preset threshold value and the target heart rate data is successfully matched with the preset heart rate data.
7. The apparatus according to claim 6, wherein, in said determining the value of the interaction relation between the first device and the electronic device according to the first usage record information, the determining unit is specifically configured to:
acquiring second use record information of the third-party application in the electronic equipment;
and determining an interaction correlation value between the first device and the electronic device according to the first usage record information and the second usage record information.
8. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
9. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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| PCT/CN2019/084301 WO2020019789A1 (en) | 2018-07-25 | 2019-04-25 | Neighborhood aware networking creation method and related product |
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Also Published As
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| WO2020019789A1 (en) | 2020-01-30 |
| CN112188597B (en) | 2023-11-03 |
| CN112188597A (en) | 2021-01-05 |
| CN109068372A (en) | 2018-12-21 |
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