CN112969212B - Method for constructing de-centering sensor network of Internet of things - Google Patents
Method for constructing de-centering sensor network of Internet of things Download PDFInfo
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Abstract
The invention belongs to the technical field of Internet of things, and particularly relates to a method for constructing a de-centering sensor network of the Internet of things, which comprises the following steps: interconnecting a plurality of sensor network clusters in the Internet of things to form a center-removed network cluster; the sensor network cluster includes two types: using the network cluster and the vacant network cluster; the sensor network cluster comprises: a cluster head node, a cluster internal node and a new node; the nodes in each cluster in the sensor network cluster are mutually interconnected to form an intra-cluster internal network, and the cluster head nodes are mutually interconnected to form an intra-cluster internal network; and the intra-cluster internal network is in signal connection with the intra-cluster internal network. The layered Internet of things can be better subjected to function maintenance by layering the Internet of things in multiple layers, and can be automatically adjusted when new functions need to be added, functions need to be reduced or functions need to be changed; meanwhile, the efficiency of the Internet of things and the operation is improved by scheduling the data in the layered network.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to a method for constructing a de-centering sensor network of the Internet of things.
Background
The Internet of Things (Internet of Things, IOT for short) is used for collecting any object or process needing monitoring, connection and interaction in real time and collecting various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and position through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and realizing the ubiquitous connection of objects and people through various possible network accesses and the intelligent sensing, identification and management of the objects and the processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
In recent years, a sensor network system (sensor network system) that acquires sensor data obtained from a plurality of sensor nodes via a network has been developed. In a sensor network system, information acquired by a plurality of sensor nodes is used by a computer or a device located away from the sensor nodes via a network.
In a sensor network system, information acquired by a plurality of sensor nodes is transmitted to a server computer or the like via a relay station or a base station, and the server computer collects information of each sensor node. In the sensor network system configured as described above, if the amount of information transmitted by one sensor node becomes too large, the processing load of the relay station or the base station that transmits the information becomes too large, and there is a possibility that an obstacle such as the information of another sensor node becomes unable to be collected occurs.
Patent No. cn201810360193.xa discloses a decentralization internet of things data transaction system, which is realized based on a blockchain network, a data supplier of the internet of things issues information of transactable data to the blockchain network through an intelligent contract, automatic point-to-point data transaction is realized based on the intelligent contract, the data supplier delivers data after acquiring a digital certificate, and an execution result is recorded in a blockchain account book by the system. The data supplier only takes the role of a data supplier, the data demander only takes the role of a data demander, and the data demander and the block chain network are not taken as accounting nodes. The decentralized internet of things data transaction system is an efficient, high-quality and short-period internet of things data transaction method based on the block chain technology, can realize that internet of things data generated by a user (terminal device) is safely, paid and quickly used by a demand party, and achieves the purposes of guaranteeing fairness of data supply and demand parties and legal and compliant use of the internet of things data through technical means.
A new transaction method is realized by fully combining the technology of removing the center of the Internet of things and the block chain, but the network removing the center can only perform data transaction. Meanwhile, when the structure of the internet of things changes, the central network cannot be adjusted in real time, so that the maintenance cost is increased, and the applicability is reduced.
Disclosure of Invention
In view of the above, the main object of the present invention is to provide a method for constructing a de-centering sensor network of the internet of things, which performs multi-level layering on the internet of things, so that the layered internet of things can be better maintained in functions, and can be automatically adjusted when new functions need to be added, reduced functions need to be added, or functions need to be changed; meanwhile, the efficiency of the Internet of things and the operation is improved by scheduling the data in the layered network.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the method for constructing the de-centering sensor network of the Internet of things comprises the following steps:
step 1: interconnecting a plurality of sensor network clusters in the Internet of things to form a center-removed network cluster; the sensor network cluster includes two types: using the network cluster and the vacant network cluster; the sensor network cluster comprises: a cluster head node, a cluster internal node and a new node; the nodes in each cluster in the sensor network cluster are mutually interconnected to form an intra-cluster internal network, and the cluster head nodes are mutually interconnected to form an intra-cluster internal network; the intra-cluster internal network is in signal connection with the intra-cluster internal network; the new node comprises: an intra-cluster node and a cluster head node; the cluster internal nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network, and the cluster head nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network; the using the network cluster includes: a cluster head node, a cluster internal node and a new node; the vacant network cluster includes only: a cluster head node and a new node;
step 2: when the function of the Internet of things changes, sending a control command to a node of a sensor network cluster of the Internet of things, and realizing the function change of the Internet of things by changing the function of the node; the method comprises the following steps: when the function of the Internet of things is changed, generating a control command according to the condition that the function is changed; the condition that the function is changed comprises the following conditions: newly adding functions of the internet of things, reducing the functions of the internet of things and changing the functions of the internet of things; when the function of the Internet of things is newly increased, generating a newly increased control command to an idle network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the new nodes into nodes in the cluster by the idle network cluster according to the received newly increased control command; when the function of the Internet of things is reduced, generating a reduction control command to a use network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the cluster into new nodes by the use network cluster according to the received reduction control command; when the function of the Internet of things is changed, generating a change control command to a use network cluster in a sensor network cluster of the Internet of things, converting part of nodes in the cluster into new nodes by the use network cluster according to the received use control command, and converting part of nodes in the new nodes into cluster nodes;
and step 3: and traversing all the nodes in the cluster, the cluster head node and the new node in the Internet of things, and scheduling the node data.
Furthermore, the cluster head node is a full-function node with a routing forwarding function and is a component of a backbone network; the intra-cluster nodes are partial functional nodes without a route forwarding function and are used for data acquisition; the new node is a full-function node or a partial-function node which is not marked as a cluster head node and is not marked as an in-cluster node; some functional nodes do not have a route forwarding function.
Further, the step 3: the method for traversing all intra-cluster nodes, cluster head nodes and new nodes in the Internet of things to carry out node data scheduling comprises the following steps: constructing a node transmission hierarchical graph according to the de-centering network cluster; according to a preset scheduling region construction rule and a perception multiplex rate, a scheduling region is constructed from a highest-level node, wherein in the preset scheduling region construction rule, a scheduling point is preferentially an intra-cluster and extra-cluster network node in the scheduling region, all intra-cluster and extra-network nodes select the scheduling point, a candidate father node is preferentially selected by a non-scheduling point of the intra-cluster and extra-cluster network node as the scheduling point, a neighbor node is used as the scheduling point, data is compressed and processed at one scheduling point only once, and the processed data is not taken as a relay node in a path transmitted to the father node; and sending data of the decentralization network cluster according to the scheduling region, wherein the scheduling point and the independent point preferentially select a non-scheduling point as a relay node in the process of transmitting data, and then select a node with high residual energy as the relay node.
Further, the calculation formula of the perceptual reuse rate is as follows:
wherein dsijIs node ViAnd node VjDistance of (A), RsThe perceived radius of all nodes.
The method for constructing the de-centering sensor network of the Internet of things has the following beneficial effects:
the layered Internet of things can be better subjected to function maintenance by layering the Internet of things in multiple layers, and can be automatically adjusted when new functions need to be added, functions need to be reduced or functions need to be changed; meanwhile, the efficiency of the Internet of things and the operation is improved by scheduling the data in the layered network. The method is mainly realized by the following steps:
1. multilayer layering of the Internet of things: according to the invention, the Internet of things is layered in multiple layers, a plurality of sensor network clusters form a layer of network, an intra-cluster network and an intra-cluster network are arranged in the layer of network, so that a layer of network is formed, the network of each layer is managed, and the management efficiency of the Internet of things can be improved;
2. self-updating of the functions of the Internet of things: the Internet of things can automatically update the functions of the Internet of things according to actual needs, and the function update comprises the following steps: the functions are added, deleted and replaced, so that the flexibility of the Internet of things is improved, and the applicability of the Internet of things is wider;
3. and (3) scheduling of data of the Internet of things: the invention constructs a node transmission hierarchical graph according to a de-centering network cluster; the scheduling region is constructed from the highest node according to the preset scheduling region construction rule and the sensing multiplexing rate, so that the data exchange efficiency between the internet of things is higher, and the operation efficiency of the internet of things is further improved.
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Fig. 1 is a schematic flow chart of a method for constructing a de-centering sensor network of the internet of things according to the embodiment of the invention.
Detailed Description
The method of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments of the invention.
Example 1
As shown in fig. 1, a method for constructing a de-centering sensor network of the internet of things includes the following steps:
step 1: interconnecting a plurality of sensor network clusters in the Internet of things to form a center-removed network cluster; the sensor network cluster includes two types: using the network cluster and the vacant network cluster; the sensor network cluster comprises: a cluster head node, a cluster internal node and a new node; the nodes in each cluster in the sensor network cluster are mutually interconnected to form an intra-cluster internal network, and the cluster head nodes are mutually interconnected to form an intra-cluster internal network; the intra-cluster internal network is in signal connection with the intra-cluster internal network; the new node comprises: an intra-cluster node and a cluster head node; the cluster internal nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network, and the cluster head nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network; the using the network cluster includes: a cluster head node, a cluster internal node and a new node; the vacant network cluster includes only: a cluster head node and a new node;
step 2: when the function of the Internet of things changes, sending a control command to a node of a sensor network cluster of the Internet of things, and realizing the function change of the Internet of things by changing the function of the node;
and step 3: and traversing all the nodes in the cluster, the cluster head node and the new node in the Internet of things, and scheduling the node data.
By adopting the technical scheme, the layered internet of things can be better subjected to function maintenance by layering the internet of things in multiple layers, and can be automatically adjusted when new functions need to be added, functions need to be reduced or functions need to be changed; meanwhile, the efficiency of the Internet of things and the operation is improved by scheduling the data in the layered network. The method is mainly realized by the following steps:
1. multilayer layering of the Internet of things: according to the invention, the Internet of things is layered in multiple layers, a plurality of sensor network clusters form a layer of network, an intra-cluster network and an intra-cluster network are arranged in the layer of network, so that a layer of network is formed, the network of each layer is managed, and the management efficiency of the Internet of things can be improved;
2. self-updating of the functions of the Internet of things: the Internet of things can automatically update the functions of the Internet of things according to actual needs, and the function update comprises the following steps: the functions are added, deleted and replaced, so that the flexibility of the Internet of things is improved, and the applicability of the Internet of things is wider;
3. and (3) scheduling of data of the Internet of things: the invention constructs a node transmission hierarchical graph according to a de-centering network cluster; the scheduling region is constructed from the highest node according to the preset scheduling region construction rule and the sensing multiplexing rate, so that the data exchange efficiency between the internet of things is higher, and the operation efficiency of the internet of things is further improved
Example 2
On the basis of the previous embodiment, the cluster head node is a full-function node with a routing forwarding function and is a component of a backbone network; the intra-cluster nodes are partial functional nodes without a route forwarding function and are used for data acquisition; the new node is a full-function node or a partial-function node which is not marked as a cluster head node and is not marked as an in-cluster node; some functional nodes do not have a route forwarding function.
Example 3
On the basis of the above embodiment, the step 2 includes: when the function of the Internet of things is changed, generating a control command according to the condition that the function is changed; the condition that the function is changed comprises the following conditions: newly adding functions of the internet of things, reducing the functions of the internet of things and changing the functions of the internet of things; when the function of the Internet of things is newly increased, generating a newly increased control command to an idle network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the new nodes into nodes in the cluster by the idle network cluster according to the received newly increased control command; when the function of the Internet of things is reduced, generating a reduction control command to a use network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the cluster into new nodes by the use network cluster according to the received reduction control command; when the function of the Internet of things is changed, a change control command is generated to a use network cluster in a sensor network cluster of the Internet of things, part of nodes in the cluster are converted into new nodes by the use network cluster according to the received use control command, and part of nodes in the new nodes are converted into the cluster nodes.
Specifically, the Internet of Things (Internet of Things, IOT for short) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and position thereof through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and to realize ubiquitous connection of objects and people through various possible network accesses, thereby realizing intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
Example 4
On the basis of the above embodiment, the step 3: the method for traversing all intra-cluster nodes, cluster head nodes and new nodes in the Internet of things to carry out node data scheduling comprises the following steps: constructing a node transmission hierarchical graph according to the de-centering network cluster; according to a preset scheduling region construction rule and a perception multiplex rate, a scheduling region is constructed from a highest-level node, wherein in the preset scheduling region construction rule, a scheduling point is preferentially an intra-cluster and extra-cluster network node in the scheduling region, all intra-cluster and extra-network nodes select the scheduling point, a candidate father node is preferentially selected by a non-scheduling point of the intra-cluster and extra-cluster network node as the scheduling point, a neighbor node is used as the scheduling point, data is compressed and processed at one scheduling point only once, and the processed data is not taken as a relay node in a path transmitted to the father node; and sending data of the decentralization network cluster according to the scheduling region, wherein the scheduling point and the independent point preferentially select a non-scheduling point as a relay node in the process of transmitting data, and then select a node with high residual energy as the relay node.
Specifically, the Internet of things (IoT), i.e., "Internet of everything connected to" is an extended and expanded network based on the Internet, and combines various information sensing devices with the Internet to form a huge network, thereby realizing interconnection and intercommunication of people, machines and things at any time and any place.
The internet of things is an important component of a new generation of information technology, and the IT industry is called as follows: the interconnection means that the objects are connected and all the objects are connected. Therefore, the Internet of things is the Internet connected with the objects. This has two layers: firstly, the core and the foundation of the internet of things are still the internet, and the internet is an extended and expanded network on the basis of the internet; second, the user end extends and extends to any article to article for information exchange and communication. Therefore, the definition of the internet of things is a network which connects any article with the internet according to an agreed protocol through information sensing equipment such as radio frequency identification, infrared sensors, global positioning systems, laser scanners and the like, and performs information exchange and communication so as to realize intelligent identification, positioning, tracking, monitoring and management of the article.
Example 5
On the basis of the previous embodiment, the calculation formula of the perceptual reuse rate is as follows:
wherein dsijIs node ViAnd node VjDistance of (A), RsThe perceived radius of all nodes.
Example 6
A de-centering sensor network construction system of the internet of things, the system comprising: a plurality of sensor network clusters; a plurality of sensor network clusters are mutually interconnected to form a center-removing network cluster; the sensor network cluster includes two types: using the network cluster and the vacant network cluster; the sensor network cluster comprises: a cluster head node, a cluster internal node and a new node; the nodes in each cluster in the sensor network cluster are mutually interconnected to form an intra-cluster internal network, and the cluster head nodes are mutually interconnected to form an intra-cluster internal network; the intra-cluster internal network is in signal connection with the intra-cluster internal network; the new node comprises: an intra-cluster node and a cluster head node; the cluster internal nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network, and the cluster head nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network; the using the network cluster includes: a cluster head node, a cluster internal node and a new node; the vacant network cluster includes only: a cluster head node and a new node; when the function of the Internet of things changes, sending a control command to a node of a sensor network cluster of the Internet of things, and realizing the function change of the Internet of things by changing the function of the node; and traversing all the nodes in the cluster, the cluster head node and the new node in the Internet of things, and scheduling the node data.
In particular, in a system with a plurality of nodes distributed, each node has a highly autonomous character. The nodes can be freely connected with each other to form a new connection unit. Any node may become a phased hub, but does not have mandatory central control functions. The influence between nodes can form a nonlinear causal relationship through the network. This open, flattened, equal system phenomenon or structure is referred to as decentralization.
With the profound interaction of the subject with the object, the continuous balance of cognitive functions and the continuous improvement of cognitive structure, the individual can be relieved from the self-centering state, which is called decentralization.
Example 7
On the basis of the previous embodiment, the cluster head node is a full-function node with a routing forwarding function and is a component of a backbone network; the intra-cluster nodes are partial functional nodes without a route forwarding function and are used for data acquisition; the new node is a full-function node or a partial-function node which is not marked as a cluster head node and is not marked as an in-cluster node; some functional nodes do not have a route forwarding function.
Example 8
On the basis of the previous embodiment, when the function of the internet of things changes, a control command is generated according to the condition that the function changes; the condition that the function is changed comprises the following conditions: newly adding functions of the internet of things, reducing the functions of the internet of things and changing the functions of the internet of things; when the function of the Internet of things is newly increased, generating a newly increased control command to an idle network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the new nodes into nodes in the cluster by the idle network cluster according to the received newly increased control command; when the function of the Internet of things is reduced, generating a reduction control command to a use network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the cluster into new nodes by the use network cluster according to the received reduction control command; when the function of the Internet of things is changed, a change control command is generated to a use network cluster in a sensor network cluster of the Internet of things, part of nodes in the cluster are converted into new nodes by the use network cluster according to the received use control command, and part of nodes in the new nodes are converted into the cluster nodes.
In particular, Decentralized computing (English) is a computing model that allocates hardware and software resources to each workstation or office. In contrast, centralized computing is where most of the computing functionality is centralized, either locally or remotely. Decentralized computing is a modern computing model. In contrast, centralized computing was prevalent in early computing environments. A decentralized computer system has many advantages over a traditional centralized network. Desktop computers are rapidly evolving and their potential performance far exceeds the performance requirements of most demanding business applications. A decentralized computing system can exploit these potentials to maximize efficiency. However, it remains questionable whether it increases the effectiveness of the overall network.
Example 9
On the basis of the previous embodiment, the method for traversing all intra-cluster nodes, cluster head nodes and new nodes in the internet of things to perform node data scheduling comprises the following steps: constructing a node transmission hierarchical graph according to the de-centering network cluster; according to a preset scheduling region construction rule and a perception multiplex rate, a scheduling region is constructed from a highest-level node, wherein in the preset scheduling region construction rule, a scheduling point is preferentially an intra-cluster and extra-cluster network node in the scheduling region, all intra-cluster and extra-network nodes select the scheduling point, a candidate father node is preferentially selected by a non-scheduling point of the intra-cluster and extra-cluster network node as the scheduling point, a neighbor node is used as the scheduling point, data is compressed and processed at one scheduling point only once, and the processed data is not taken as a relay node in a path transmitted to the father node; and sending data of the decentralization network cluster according to the scheduling region, wherein the scheduling point and the independent point preferentially select a non-scheduling point as a relay node in the process of transmitting data, and then select a node with high residual energy as the relay node.
Specifically, decentralization (English: decentralization) is a social relationship form and a content generation form formed in the internet development process, and is a novel network content production process relative to centralization.
Compared with the early internet (Web 1.0) era, the Web2.0 content is not generated by professional websites or specific groups, but is generated by the joint participation and joint creation of the right-level and equal netizens. Anyone can express his own view or create original contents on the network to produce information together.
With diversification of network service forms, decentralized network models become clearer and more possible. After the Web2.0 is started, services provided by network service providers such as Wikipedia, Flickr, Blogger and the like are decentralized, any participant can submit content, and netizens jointly perform content collaborative creation or contribution.
Later, with the emergence of more simple and easy-to-use decentralized network services, the characteristics of Web2.0 become more obvious. For example, Twitter, Facebook and the like are more suitable for the birth of services of common netizens, so that the content is more convenient and diversified for the internet production or contribution, the enthusiasm of the netizens for participating in the contribution is improved, and the threshold of the production content is reduced. Finally, each netizen becomes a tiny and independent information provider, so that the Internet is flatter, and the content production is more diversified.
Example 10
On the basis of the previous embodiment, the calculation formula of the perceptual reuse rate is as follows:
wherein dsijIs node ViAnd node VjDistance of (A), RsThe perceived radius of all nodes.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional units, and in practical applications, the functions may be distributed by different functional units according to needs, that is, the units or steps in the embodiments of the present invention are further decomposed or combined, for example, the units in the foregoing embodiment may be combined into one unit, or may be further decomposed into multiple sub-units, so as to complete all or the functions of the units described above. The names of the units and steps involved in the embodiments of the present invention are only for distinguishing the units or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative elements, method steps, described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the elements, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software 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 invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or unit/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or unit/apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent modifications or substitutions of the related art marks may be made by those skilled in the art without departing from the principle of the present invention, and the technical solutions after such modifications or substitutions will fall within the protective scope of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (4)
1. The method for constructing the de-centering sensor network of the Internet of things is characterized by comprising the following steps:
step 1: interconnecting a plurality of sensor network clusters in the Internet of things to form a center-removed network cluster; the sensor network cluster includes two types: using the network cluster and the vacant network cluster; the sensor network cluster comprises: a cluster head node, a cluster internal node and a new node; the nodes in each cluster in the sensor network cluster are mutually interconnected to form an intra-cluster internal network, and the cluster head nodes are mutually interconnected to form an intra-cluster internal network; the intra-cluster internal network is in signal connection with the intra-cluster internal network; the new node comprises: an intra-cluster node and a cluster head node; the cluster internal nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network, and the cluster head nodes in the new nodes automatically join the cluster internal network to form a node of the cluster internal network; the using the network cluster includes: a cluster head node, a cluster internal node and a new node; the vacant network cluster includes only: a cluster head node and a new node;
step 2: when the function of the Internet of things changes, sending a control command to a node of a sensor network cluster of the Internet of things, and realizing the function change of the Internet of things by changing the function of the node; the method comprises the following steps: when the function of the Internet of things is changed, generating a control command according to the condition that the function is changed; the condition that the function is changed comprises the following conditions: newly adding functions of the internet of things, reducing the functions of the internet of things and changing the functions of the internet of things; when the function of the Internet of things is newly increased, generating a newly increased control command to an idle network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the new nodes into nodes in the cluster by the idle network cluster according to the received newly increased control command; when the function of the Internet of things is reduced, generating a reduction control command to a use network cluster in a sensor network cluster of the Internet of things, and converting part of nodes in the cluster into new nodes by the use network cluster according to the received reduction control command; when the function of the Internet of things is changed, generating a change control command to a use network cluster in a sensor network cluster of the Internet of things, converting part of nodes in the cluster into new nodes by the use network cluster according to the received use control command, and converting part of nodes in the new nodes into cluster nodes;
and step 3: and traversing all the nodes in the cluster, the cluster head node and the new node in the Internet of things, and scheduling the node data.
2. The method of claim 1 wherein the clusterhead node is a fully functional node with a route forwarding function that is part of a backbone network; the intra-cluster nodes are partial functional nodes without a route forwarding function and are used for data acquisition; the new node is a full-function node or a partial-function node which is not marked as a cluster head node and is not marked as an in-cluster node; some functional nodes do not have a route forwarding function.
3. The method of claim 2, wherein step 3: the method for traversing all intra-cluster nodes, cluster head nodes and new nodes in the Internet of things to carry out node data scheduling comprises the following steps: constructing a node transmission hierarchical graph according to the de-centering network cluster; according to a preset scheduling region construction rule and a perception multiplex rate, a scheduling region is constructed from a highest-level node, wherein in the preset scheduling region construction rule, a scheduling point is preferentially an intra-cluster and extra-cluster network node in the scheduling region, all intra-cluster and extra-network nodes select the scheduling point, a candidate father node is preferentially selected by a non-scheduling point of the intra-cluster and extra-cluster network node as the scheduling point, a neighbor node is used as the scheduling point, data is compressed and processed at one scheduling point only once, and the processed data is not taken as a relay node in a path transmitted to the father node; and sending data of the decentralization network cluster according to the scheduling region, wherein the scheduling point and the independent point preferentially select a non-scheduling point as a relay node in the process of transmitting data, and then select a node with high residual energy as the relay node.
4. The method of claim 3, wherein the perceptual reuse rate is calculated by the formula:
(ii) a Wherein the content of the first and second substances,
is a node
And node
The distance of (a) to (b),
the perceived radius of all nodes.
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