CN105656960A - Method and device for realizing sociability of nodes in IOT network - Google Patents

Abstract

The present invention provides a method and device for socializing nodes in an Internet of Things network. The method includes: obtaining the attributes of each Internet of Things node; and calculating the correlation between each Internet of Things node according to the attributes of each Internet of Things node; According to the correlation among the various Internet of Things nodes, the social relationship between the Internet of Things nodes is established, and the method of the present invention can establish the social relationship between the Internet of Things nodes, so as to realize the socialization of the Internet of Things network.

Description

A method and device for realizing socialization of nodes in an Internet of Things network

technical field

The invention relates to the field of communication technology, in particular to a method and device for realizing socialization of nodes in an Internet of Things network.

Background technique

The current Internet of Things network is composed of independent sensor networks or terminals. These sensor networks and terminals only complete their corresponding applications and have no direct connection with each other. The human social network is a network structure defined according to human attributes, which cannot completely fulfill the social functions of the Internet of Things. For example, the establishment of relationships in the human social network relies more on human subjective behaviors, while the social networking of the Internet of Things is more about It depends on the objective conditions such as the properties and applications of the object.

Contents of the invention

The purpose of the present invention is to provide a method and device for realizing the socialization of nodes in the Internet of Things network, which can realize the socialization of the Internet of Things network.

In order to achieve the above purpose, an embodiment of the present invention provides a method for socializing nodes in an Internet of Things network, the method comprising:

Obtain the attributes of each IoT node;

According to the attributes of each IoT node, calculate the correlation between each IoT node;

According to the correlation between each IoT node, the social relationship between IoT nodes is established.

Wherein, the steps of acquiring the attributes of each IoT node include:

Obtain the attributes of each IoT node connected to the IoT social platform through the IoT social platform.

Wherein, according to the attributes of each Internet of Things node, the step of calculating the correlation between each Internet of Things node includes:

Obtain the first correlation coefficient between the i-th attribute of any IoT node and the j-th attribute of another IoT node;

Obtaining a second correlation coefficient between any IoT node and another IoT node;

According to the first correlation coefficient and the second correlation coefficient, the correlation between various Internet of Things nodes is obtained.

in,

by formula $\begin{array}{cc}{r}_{a_i{b}_j}=f_{i,j}(a_i,b_j)& 0\≤r_{a_i{b}_j}\≤1\end{array}$

Obtain the first correlation coefficient between the i-th attribute of any IoT node and the j-th attribute of another IoT node, wherein, represents the first correlation coefficient, a _i represents the i-th attribute of any network element, and b _j represents the j-th attribute of another network element.

in,

According to the first correlation coefficient, through the formula

Obtain the second correlation coefficient between any IoT node and another IoT node, wherein R _AB represents the second correlation coefficient, represents the first correlation coefficient, Indicates the weight of the first correlation coefficient in the correlation between any IoT node and all attributes of another IoT node, n means that any IoT node has n mutually independent attributes, and m means that another IoT node has m properties that are independent of each other.

Wherein, according to the correlation between each IoT node, the steps of establishing the social relationship between the IoT nodes include:

judging whether the second correlation coefficient is greater than the first preset value;

If it is greater than the first preset value, a social relationship between any IoT node and another IoT node is established.

Among them, after the step of obtaining the attributes of each IoT node, it also includes:

According to the correlation between the information sent by any IoT node and other IoT nodes, a social relationship between any IoT node and other IoT nodes is established.

Wherein, according to the correlation between information sent by any IoT node and other IoT nodes, the steps of establishing a social relationship between any IoT node and other IoT nodes include:

Obtain the attributes of information sent by any IoT node;

According to the attributes of the information sent by any Internet of Things node, the third correlation coefficient between the i-th attribute of the information sent by any Internet of Things node and the j-th attribute of other Internet of Things nodes is obtained;

According to the third correlation coefficient, the fourth correlation coefficient between the information sent by any IoT node and other IoT nodes is obtained;

judging whether the fourth correlation coefficient is greater than the second preset value;

If it is greater than the second preset value, a social relationship between any IoT node and other IoT nodes is established.

in,

by formula

$\begin{array}{cc}{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}\end{array}$

Obtain the third correlation coefficient between the i-th attribute of the information sent by any IoT node and the j-th attribute of other IoT nodes, wherein, Represents the third correlation coefficient, x _i represents the i-th attribute of the information sent by any IoT node, and y _j represents the j-th attribute of other IoT nodes.

in,

According to the third correlation coefficient, through the formula

Obtain the fourth correlation coefficient between the information sent by any IoT node and other IoT nodes, where R _XY represents the fourth correlation coefficient, represents the third correlation coefficient, Indicates the weight of the third correlation coefficient in the correlation between the sent information and all attributes of other IoT nodes, n means that the sent information has n mutually independent attributes, and m means that other IoT nodes have m mutually independent attributes.

The embodiment of the present invention also provides a device for socializing nodes in the Internet of Things network, which is applied to the social networking system of the Internet of Things. The device includes: a social networking platform for the Internet of Things and a plurality of nodes of the Internet of Things, wherein,

The Internet of Things social platform is used to obtain the attributes of each Internet of Things node connected to the Internet of Things social platform, and calculate the correlation between each Internet of Things nodes according to the attributes of each Internet of Things node, and then according to the Relevance, establish social relationship between IoT nodes.

Among them, the Internet of Things social platform calculates the second correlation coefficient between any Internet of Things node and another Internet of Things node, and compares the second correlation coefficient with the first preset value, if the second correlation coefficient is greater than the first preset value Set a value to establish a social relationship between any IoT node and another IoT node.

Wherein, the IoT social platform is also used to acquire the attributes of information sent by any IoT node.

Among them, the Internet of Things social platform calculates the fourth correlation coefficient between the information sent by any Internet of Things node and other Internet of Things nodes, and compares the fourth correlation coefficient with the second preset value, if the fourth correlation coefficient is greater than The second preset value is to establish a social relationship between any IoT node and other IoT nodes.

The technical solution of the present invention has at least the following beneficial effects:

In the method for realizing the socialization of nodes in the Internet of Things network in the embodiment of the present invention, by calculating the correlation coefficient between the nodes of the Internet of Things, it is judged whether there is correlation between the nodes of the Internet of Things, and each Internet of Things nodes with correlation Build social relationships to socialize IoT networks.

Description of drawings

Fig. 1 is the flow chart of the steps of the method for realizing node socialization in the Internet of Things network in the embodiment of the present invention;

FIG. 2 is a flow chart of specific steps in step 12 of FIG. 1 in an embodiment of the present invention;

FIG. 3 is a flow chart of specific steps in step 13 of FIG. 1 in an embodiment of the present invention;

4 is a flow chart of steps for establishing a social relationship between any IoT node and other IoT nodes according to the correlation between information sent by any IoT node and other IoT nodes in an embodiment of the present invention;

5 is a schematic structural diagram of a device for realizing node socialization in an Internet of Things network in an embodiment of the present invention;

Fig. 6 is a structure diagram of the node attributes of the Internet of Things in the embodiment of the present invention.

detailed description

In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

The present invention aims at the problem in the prior art that the sensor network and the terminal in the Internet of Things network only complete their corresponding applications without direct connection with each other, and provides a method and device for realizing the socialization of nodes in the Internet of Things network, It can realize the socialization of the Internet of Things network.

As shown in Figure 1, an embodiment of the present invention provides a method for realizing node socialization in an Internet of Things network, the method comprising:

Step 11, obtaining the attributes of each IoT node 52;

In a specific embodiment of the present invention, the IoT node 52 can be a sensor, a terminal, a basic communication gateway device, or a smart home device, smart transportation device, etc. specific to an application scenario, such as a smart refrigerator, oven, TV, Air conditioners, automobiles, etc., of course, can also be various applications, such as food safety monitoring applications.

Step 12, according to the attributes of each Internet of Things node 52, calculate the correlation between each Internet of Things node 52;

Step 13, establishing a social relationship between the IoT nodes 52 according to the correlation among the IoT nodes 52 .

In a specific embodiment of the present invention, the Internet of Things social platform 51 acquires the attributes of each Internet of Things node 52 connected to the Internet of Things social platform 51, and calculates the relationship between the Internet of Things nodes 52 according to the attributes of each Internet of Things node 52. Correlation, and then according to the calculation result of the correlation, a social relationship is established between the relevant IoT nodes 52 .

As shown in Figure 2, in the above-mentioned embodiment of the present invention, the concrete steps of step 12 are:

Step 21, obtaining the first correlation coefficient between the i-th attribute of any IoT node 52 and the j-th attribute of another IoT node 52;

Step 22, obtaining a second correlation coefficient between any IoT node 52 and another IoT node 52;

Step 23, according to the first correlation coefficient and the second correlation coefficient, obtain the correlation among the various Internet of Things nodes 52 .

As shown in Figure 3, in the foregoing embodiment of the present invention, the specific steps of step 13 in Figure 1 include:

Step 31, judging whether the second correlation coefficient is greater than the first preset value;

Step 32 , if the value is greater than the first preset value, establish a social relationship between any IoT node 52 and another IoT node 52 .

In the above-mentioned embodiment of the present invention, further by the formula $\begin{array}{cc}{r}_{a_i{b}_j}=f_{i,j}(a_i,b_j)& 0\&le;\end{array}$ $r_{a_i{b}_j}\&le;1$ Obtain the first correlation coefficient between the i-th attribute of any IoT node 52 and the j-th attribute of another IoT node 52, wherein, represents the first correlation coefficient, a _i represents the i-th attribute of any network element, and b _j represents the j-th attribute of another network element. Then according to the first correlation coefficient, through the formula

Obtain the second correlation coefficient between any IoT node 52 and another IoT node 52, wherein R _AB represents the second correlation coefficient, represents the first correlation coefficient, Represent the weight of the first correlation coefficient in the correlation between any Internet of Things node 52 and all attributes of another Internet of Things node 52, n represents that any Internet of Things node 52 has n mutually independent attributes, and m represents another Internet of Things node 52 has m mutually independent attributes.

In a specific embodiment of the present invention, taking the establishment of a social relationship between a refrigerator and an oven in a smart home as an example, refrigerator A has n mutually independent attributes, oven B has m mutually independent attributes, and the owner attribute of the refrigerator is a ₁ , the owner attribute of the oven is b ₁ , then the correlation coefficient between the refrigerator owner attribute and the oven owner attribute can be expressed as:

$\begin{array}{cc}{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}\end{array}$

In the correlation of all attributes of refrigerators and ovens, the weights are The first correlation coefficient between the i-th attribute of the refrigerator and the j-th attribute of the oven can be expressed as:

$\begin{array}{cc}{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}\end{array}$

Its weight is According to the application logic of smart home, the owner relationship between home appliances directly determines the correlation between home appliances. The fridge and the oven must be socially connected. Therefore, the second correlation coefficient R _AB between the refrigerator and the oven is:

When R _AB exceeds a first preset value, it is considered that a social relationship needs to be established for the refrigerator and the oven, wherein the first preset value is a threshold set according to a specific application scenario. But since the first correlation coefficient and weight It is difficult to directly calculate it with a formula. You can first assume an initial value based on experience, and then calculate whether it is necessary to establish a social relationship, and then run it for a period of time to optimize according to the actual interaction of social messages between two IoT nodes 52 Adjustment.

In the above-mentioned embodiment of the present invention, after step 11 is executed, the above-mentioned method can also establish any IoT node 52 according to the correlation between the information sent by any IoT node 52 and other IoT nodes 52. Social relations with other IoT nodes 52 .

In a specific embodiment of the present invention, the correlation between the information sent by any IoT node 52 and other IoT nodes 52 can be used, so that the IoT social platform 51 establishes The social relationship also facilitates pushing the information sent by any IoT node 52 to other IoT nodes 52.

As shown in Figure 4, in the above-mentioned embodiment of the present invention, according to the correlation between the information sent by any IoT node 52 and other IoT nodes 52, establish any IoT node 52 and other IoT nodes The specific steps of the social relationship between 52 include:

Step 41, acquiring the attributes of the information sent by any IoT node 52;

Step 42, according to the attributes of the information sent by any IoT node 52, obtain the third correlation coefficient between the i-th attribute of the information sent by any IoT node 52 and the j-th attribute of other IoT nodes 52 ;

Step 43, according to the third correlation coefficient, obtain the fourth correlation coefficient between the information sent by any IoT node 52 and other IoT nodes 52;

Step 44, judging whether the fourth correlation coefficient is greater than the second preset value;

Step 45, if it is greater than the second preset value, establish a social relationship between any IoT node 52 and other IoT nodes 52 .

In the above-mentioned embodiment of the present invention, further by the formula

$\begin{array}{cc}{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; the\; y</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}\end{array}$

Obtain the third correlation coefficient between the i-th attribute of the information sent by any IoT node 52 and the j-th attribute of other IoT nodes 52, wherein, represents the third correlation coefficient, x _i represents the i-th attribute of the information sent by any IoT node 52 , and y _j represents the j-th attribute of other IoT nodes 52 . Then through the third correlation coefficient, through the formula

Obtain the fourth correlation coefficient between the information sent by any IoT node 52 and other IoT nodes 52, wherein R _XY represents the fourth correlation coefficient, represents the third correlation coefficient, Represents the weight of the third correlation coefficient in the correlation between the sent information and all attributes of other Internet of Things nodes 52, n indicates that the sent information has n mutually independent attributes, and m indicates that other Internet of Things nodes 52 have m mutually independent attributes Attributes.

In a specific embodiment of the present invention, taking the correlation calculation of a refrigerator in a smart home sending social messages to its owner as an example, refrigerator A receives an unsafe food warning microblog X from the Food and Drug Administration FDA, whether to forward it For owner Y, it is to calculate the size of the correlation coefficient R _XY between this microblog and the owner. The owner has m mutually independent attributes in the smart home application scenario, and the unsafe food warning Weibo X contains n mutually independent information, which is similar to calculating the second correlation coefficient of two IoT nodes 52, Weibo The third correlation coefficient between the i-th attribute of X and the j-th attribute of master Y can be expressed as:

$\begin{array}{cc}{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>& \mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}\end{array}$

In the correlation between Weibo and all attributes of the owner, the weight is Then the correlation coefficient R _XY between Weibo and the host can be expressed as:

When R _XY exceeds the second preset value, it is considered that the microblog X received by refrigerator A needs to be forwarded to owner Y, and a social relationship is established between the refrigerator and the owner, wherein the second preset value is set according to the specific application scenario set threshold. Similar to the calculation of R _AB , due to the third correlation coefficient and weight It is difficult to calculate directly with formulas. An initial value can be assumed based on experience, and then continuously adjusted and optimized.

In a specific embodiment of the present invention, in order to facilitate the mutual understanding and transmission of information between the nodes 52 of the Internet of Things, it is necessary to define the basic information structure of the Internet of Things. According to the demand analysis, the composition of the information structure can be abstracted as "executor in information ( who), the event occurrence time in the information (when), the event occurrence location in the information (where), the event action in the information (do), and the specific event in the information (sth)", taking the smart home scene as an example, the refrigerator detects food changes , send a private message to inform the owner that the structure of this message is: "who=fridge; do=put; sth=banana; where=home; when=2014:08:08-14:05:25" Of course it is understandable that, In the specific embodiment of the present invention, the specific structure of the information is not limited, and the information structure can be expanded and defined according to specific application scenarios, as long as it is convenient for mutual understanding and transmission between IoT nodes 52 .

In order to better achieve the above purpose, as shown in Figure 5, the embodiment of the present invention also provides a device 50 for socializing nodes in the Internet of Things network, which is applied to the social networking system of the Internet of Things, and the device 50 includes: social networking of the Internet of Things Platform 51 and a plurality of Internet of Things nodes 52, wherein,

The Internet of Things social platform 51 is used to obtain the attributes of each Internet of Things node 52 connected to the Internet of Things social platform 51, and calculate the correlation between each Internet of Things nodes 52 according to the attributes of each Internet of Things node 52, and then according to each The correlation between the IoT nodes 52 establishes the social relationship between the IoT nodes 52 .

In a specific embodiment of the present invention, the Internet of Things social system adopts a node model, which is a general and explicit description method for different types of nodes, and the Internet of Things node 52 is identified in the Internet of Things social system , and the basis for establishing social relationships with other IoT nodes 52, the attribute structure diagram of the IoT node 52 is shown in FIG. 6 .

Wherein, the Internet of Things social platform 51 calculates the second correlation coefficient between any Internet of Things node 52 and another Internet of Things node 52, and compares the second correlation coefficient with the first preset value, if the second correlation coefficient is greater than The first preset value is to establish a social relationship between any IoT node 52 and another IoT node 52 .

Wherein, the Internet of Things social platform 51 is also used to obtain attributes of information sent by any Internet of Things node 52 .

Among them, the Internet of Things social platform 51 calculates the fourth correlation coefficient between the information sent by any Internet of Things node 52 and other Internet of Things nodes 52, and compares the fourth correlation coefficient with the second preset value, if the fourth If the correlation coefficient is greater than the second preset value, a social relationship between any IoT node 52 and other IoT nodes 52 is established.

In a specific embodiment of the present invention, an example of an application scenario based on the above-mentioned Internet of Things social system: Take a family device as an example: including a refrigerator, a TV, an oven, an air conditioner, a car, and the like. When each device is connected to the IoT social platform 51, the platform will analyze it according to the attributes of the device. If the above devices belong to the same family, based on this potential relationship, the platform can recommend these devices to establish a social relationship. Linking the independent applications of each device can achieve the purpose of information sharing.

Scenario 1: The car belongs to the Internet of Vehicles application. Ordinary applications only provide navigation and other applications, but it can be linked with home applications on the Internet of Things social platform 51. For example, the car publishes a piece of location and form purpose information on the Internet of Things social platform 51, such as distance There are still 10 minutes to go home, so since the car is a good friend of the air conditioner, the air conditioner can obtain this information and make a judgment. At present, the air conditioner should be turned on in advance, so that the indoor temperature has dropped after the owner arrives home.

Scenario 2: Put food information into the refrigerator, and the refrigerator can publish the information on the Internet of Things social platform 51. After a friend’s oven gets it, they can automatically search on the social platform according to the type of food to see if other ovens have shared cooking. Food information, such as baking time, ingredients, etc., will be downloaded if available, so that when the owner takes out the food and puts it in the oven, he can directly choose the cooking method that has been prepared instead of setting it himself.

Scenario 3: The refrigerator can publish the current food shortage information to the Internet of Things social platform 51, and the TV in the same family can obtain this information, automatically search for the purchase address of the required food on the Internet, and conduct price comparison analysis, and finally send the purchase suggestion Shown on TV recommends purchases for homeowners.

The above scenario description is based on a family. In practical applications, the IoT social network can be expanded indefinitely without geographical restrictions. For example, the IoT social platform 51 can be established based on the recommendation relationship of the same owner information, or through the manufacturer information of the device. Function information, application information, etc. are recommended, and the relationship between IoT devices is also dynamic. For example, a vehicle passing through the same area can establish a temporary relationship and share road conditions and surrounding information. After leaving the area, the relationship is terminated.

The above description is a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, these improvements and modifications It should also be regarded as the protection scope of the present invention.

Claims (14)

1. A method for realizing node socialization in the Internet of Things network, characterized in that the method comprises: Obtain the attributes of each IoT node; According to the attributes of each IoT node, calculate the correlation between each IoT node; According to the correlation among the various Internet of Things nodes, a social relationship between the Internet of Things nodes is established. 2. The method according to claim 1, wherein the step of obtaining the attributes of each Internet of Things node comprises: Through the Internet of Things social platform, the attributes of each Internet of Things node connected to the Internet of Things social platform are acquired. 3. The method according to claim 2, wherein, according to the attribute of each Internet of Things node, the step of calculating the correlation between each Internet of Things node comprises: Obtain the first correlation coefficient between the i-th attribute of any IoT node and the j-th attribute of another IoT node; Obtaining a second correlation coefficient between any IoT node and another IoT node; According to the first correlation coefficient and the second correlation coefficient, the correlation between various Internet of Things nodes is obtained. 4. The method of claim 3, wherein, by formula $r_{a_i{b}_j}=f_{i,j}(a_i,b_j)0\&le;r_{a_i{b}_j}\&le;1$ Obtain the first correlation coefficient between the i-th attribute of any IoT node and the j-th attribute of another IoT node, wherein, represents the first correlation coefficient, a _i represents the i-th attribute of any network element, and b _j represents the j-th attribute of another network element. 5. The method of claim 4, wherein, According to the first correlation coefficient, by the formula Obtain the second correlation coefficient between any IoT node and another IoT node, wherein R _AB represents the second correlation coefficient, represents the first correlation coefficient, Represents the weight of the first correlation coefficient in the correlation between any Internet of Things node and all attributes of another Internet of Things node, n represents that any Internet of Things node has n mutually independent attributes, and m represents that another Internet of Things node has m independent attributes. 6. The method according to claim 3, characterized in that, according to the correlation between the various Internet of Things nodes, the step of establishing a social relationship between the Internet of Things nodes comprises: judging whether the second correlation coefficient is greater than a first preset value; If it is greater than the first preset value, a social relationship between any IoT node and another IoT node is established. 7. The method according to claim 2, further comprising: According to the correlation between the information sent by any IoT node and other IoT nodes, a social relationship between any IoT node and other IoT nodes is established. 8. The method according to claim 7, wherein, according to the correlation between the information sent by any IoT node and other IoT nodes, a relationship between any IoT node and other IoT nodes is established. The steps of social relationship between them include: Obtain the attributes of information sent by any IoT node; According to the attributes of the information sent by any of the Internet of Things nodes, obtaining a third correlation coefficient between the i-th attribute of the information sent by any of the Internet of Things nodes and the j-th attribute of other Internet of Things nodes; Obtaining a fourth correlation coefficient between information sent by any IoT node and other IoT nodes according to the third correlation coefficient; judging whether the fourth correlation coefficient is greater than a second preset value; If it is greater than the second preset value, a social relationship between any IoT node and other IoT nodes is established. 9. The method of claim 8, wherein by formula ${\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; f</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; \&le;</span>{\mathrm{<span\; class="notranslate">\; r</span>}}_{{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; j</span>}}}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; 1</span>}$ Obtain the third correlation coefficient between the i-th attribute of the information sent by any IoT node and the j-th attribute of other IoT nodes, wherein, represents the third correlation coefficient, x _i represents the i-th attribute of the information sent by any IoT node, and y _j represents the j-th attribute of other IoT nodes. 10. The method of claim 9, wherein, According to the third correlation coefficient, through the formula Obtain the fourth correlation coefficient between the information sent by any IoT node and other IoT nodes, wherein R _XY represents the fourth correlation coefficient, represents the third correlation coefficient, Represents the weight of the third correlation coefficient in the correlation between the sent information and all attributes of other Internet of Things nodes, n indicates that the sent information has n mutually independent attributes, and m indicates that other Internet of Things nodes have m mutually independent attributes Attributes. 11. A device for realizing the socialization of nodes in the Internet of Things network, which is applied to the social networking system of the Internet of Things, wherein the device includes: a social networking platform for the Internet of Things and a plurality of Internet of Things nodes, wherein, The Internet of Things social platform is used to obtain the attributes of each Internet of Things node connected to the Internet of Things social platform, and calculate the correlation between each Internet of Things nodes according to the attributes of each Internet of Things node, and then according to the The correlation between each IoT node establishes the social relationship between IoT nodes. 12. The device according to claim 11, wherein the Internet of Things social platform calculates a second correlation coefficient between any Internet of Things node and another Internet of Things node, and calculates the second correlation coefficient Compared with the first preset value, if the second correlation coefficient is greater than the first preset value, a social relationship between any IoT node and another IoT node is established. 13. The device according to claim 11, wherein the IoT social platform is further used to acquire attributes of information sent by any IoT node. 14. The device according to claim 13, wherein the Internet of Things social platform calculates the fourth correlation coefficient between the information sent by any Internet of Things node and other Internet of Things nodes, and compares the fourth correlation coefficient between the information sent by any Internet of Things node. The four correlation coefficients are compared with the second preset value, and if the fourth correlation coefficient is greater than the second preset value, a social relationship between any IoT node and other IoT nodes is established.