CN113543358A

CN113543358A - Data transmission method, device, system and storage medium based on channel pre-allocation

Info

Publication number: CN113543358A
Application number: CN202011516387.8A
Authority: CN
Inventors: 谢尧; 徐键; 江瑾
Original assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Current assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Priority date: 2020-12-21
Filing date: 2020-12-21
Publication date: 2021-10-22

Abstract

The invention relates to a data transmission method, a device, an Internet of things system and a storage medium based on channel pre-allocation, which comprises the steps of obtaining recorded idle channel information before the beginning of a transmission time period of an Internet of things node, wherein the idle channel information is used for recording the information of an idle channel in the Internet of things before the transmission time period; confirming the distribution of idle channels corresponding to the nodes of the Internet of things according to a preset maximum transmission gain rule so as to confirm transmission channels corresponding to the nodes of the Internet of things; identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time period for the waiting nodes; and the nodes of the Internet of things transmit data through corresponding transmission channels in the transmission time period. According to the scheme, the idle channels and the nodes of the Internet of things are distributed according to the transmission requirements based on the preset maximum transmission gain rule, and the collision probability during actual data transmission after channel distribution is reduced.

Description

Data transmission method, device, system and storage medium based on channel pre-allocation

Technical Field

The embodiment of the invention relates to the technical field of networks, in particular to a data transmission method, a device, a system and a storage medium based on channel pre-allocation.

Background

With the continuous expansion of the application requirements of wireless communication, the frequency spectrum as a resource is increasingly tense under the continuously expanded application requirements, and the conventional frequency spectrum mainly adopts a fixed allocation mode, so that the resource waste is serious, and the frequency spectrum utilization rate is low. Aiming at the defect of fixed spectrum allocation, in order to improve the utilization rate of the spectrum optimally, each node in the wireless communication network can preferably interact with the information of the surrounding environment so as to sense and utilize the available spectrum in the space and limit and reduce the occurrence of conflicts.

The existing internet of things is used as a concrete implementation form of a wireless communication network, and a learning mechanism is also referred to, so that the utilization rate of a frequency spectrum is improved by exchanging information with the surrounding environment.

The inventor discovers that a blind area exists between nodes when environment information is interactively transmitted under the application scene of the existing internet of things, and the sensing of the environment information is incomplete, so that the transmission conflict of actual data after channel allocation is caused when the frequency spectrum is optimized based on learning sensing in the internet of things.

Disclosure of Invention

The invention provides a data transmission method, a device, a system and a storage medium based on channel pre-allocation, which aim to solve the technical problem of transmission conflict of actual data after channel allocation in the internet of things network in the prior art.

In a first aspect, an embodiment of the present invention provides a data transmission method based on channel pre-allocation, including:

acquiring recorded idle channel information before the beginning of a transmission time period of a node of the Internet of things, wherein the idle channel information is used for recording information of idle channels in the Internet of things before the transmission time period;

confirming the distribution of the idle channel corresponding to the Internet of things node according to a preset maximum transmission gain rule so as to confirm the transmission channel corresponding to the Internet of things node in the current transmission time period;

identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes;

and the nodes of the Internet of things transmit data through corresponding transmission channels in the transmission time period.

Further, the transmission period comprises a plurality of equal-length time slots;

correspondingly, the data transmission is performed by the internet of things node through the corresponding transmission channel in the transmission time period, and the method includes:

and the nodes of the Internet of things broadcast and send requests in the transmission channels corresponding to the transmission time periods, and perform data transmission through the corresponding transmission channels after receiving cancellation requests responding to the sending requests.

Further, the internet of things node performs data transmission through a corresponding transmission channel in the transmission time period, and further includes:

and the nodes of the Internet of things broadcast and send requests in the transmission channels corresponding to the transmission time periods, and if a cancellation request responding to the sending request is not received, data transmission is carried out through the corresponding transmission channels after one or more equal-length time slots are delayed.

Further, the method further comprises:

and the nodes of the Internet of things monitor the signal transmission state of each channel in an idle period, and update the idle channel information according to the signal transmission state.

In a second aspect, an embodiment of the present invention further provides a data transmission apparatus based on channel pre-allocation, including:

the information acquisition unit is used for acquiring recorded idle channel information before the transmission time period of the nodes of the Internet of things starts, wherein the idle channel information is used for recording the information of idle channels in the Internet of things before the transmission time period;

the channel allocation unit is used for confirming the allocation of the idle channel corresponding to the Internet of things node according to a preset maximum transmission gain rule so as to confirm the transmission channel corresponding to the Internet of things node in the current transmission time period;

the second transmission unit is used for identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes;

and the data transmission unit is used for transmitting data by the nodes of the Internet of things through corresponding transmission channels in the transmission time period.

correspondingly, the data transmission unit includes:

and the first transmission module is used for broadcasting a sending request by the internet of things node in a transmission channel corresponding to the transmission time interval, and after receiving a cancellation request responding to the sending request, transmitting data through the corresponding transmission channel.

Further, the data transmission unit further includes:

and the second transmission module is used for broadcasting a sending request by the node of the Internet of things in a transmission channel corresponding to the transmission time interval, and if a cancellation request responding to the sending request is not received, carrying out data transmission through the corresponding transmission channel after delaying one or more equal-length time slots.

Further, the apparatus further includes:

and the channel monitoring unit is used for monitoring the signal transmission state of each channel by the nodes of the Internet of things in idle time and updating the idle channel information according to the signal transmission state.

In a third aspect, an embodiment of the present invention further provides an internet of things network system, including a plurality of internet of things nodes, where each of the plurality of internet of things nodes includes:

one or more processors;

a memory for storing one or more programs;

when executed by the one or more processors, cause the internet of things network to implement the method for data transmission based on channel pre-allocation according to any one of the first aspect.

In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the data transmission method based on channel pre-allocation according to the first aspect.

According to the data transmission method, the device, the network system and the storage medium based on channel pre-allocation, the recorded idle channel information is acquired before the transmission time period of the nodes of the Internet of things starts, and the idle channel information is used for recording the information of idle channels in the Internet of things before the transmission time period; confirming the distribution of the idle channel corresponding to the Internet of things node according to a preset maximum transmission gain rule so as to confirm the transmission channel corresponding to the Internet of things node in the current transmission time period; identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes; and the nodes of the Internet of things transmit data through corresponding transmission channels in the transmission time period. According to the scheme, the idle channel information recorded in real time is acquired, the allocation of the idle channels and the nodes of the Internet of things is carried out according to the transmission requirement with possible allocation based on the preset maximum transmission gain rule, the collision probability of actual data transmission after channel allocation is reduced, especially when the transmission gain is good but the idle channels are insufficient, the transmission channels are allocated in advance in a pre-allocation mode, and the overall transmission efficiency is guaranteed while the collision probability is effectively reduced.

Drawings

Fig. 1 is a flowchart of a data transmission method based on channel pre-allocation according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a data transmission apparatus based on channel pre-allocation according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an internet of things node device according to a third embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are for purposes of illustration and not limitation. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

It should be noted that, for the sake of brevity, this description does not exhaust all alternative embodiments, and it should be understood by those skilled in the art after reading this description that any combination of features may constitute an alternative embodiment as long as the features are not mutually inconsistent.

The following examples are described in detail.

Example one

Fig. 1 is a flowchart of a data transmission method based on channel pre-allocation according to an embodiment of the present invention. The data transmission method based on channel pre-allocation provided in the embodiment may be executed by various operating devices (mainly, node devices of the internet of things) for data transmission based on channel pre-allocation, where the operating devices may be implemented in a software and/or hardware manner, and the operating devices may be formed by two or more physical entities or may be formed by one physical entity.

Specifically, referring to fig. 1, the method for transmitting data based on channel pre-allocation specifically includes:

step S101: acquiring recorded idle channel information before the transmission time period of the nodes of the Internet of things starts, wherein the idle channel information is used for recording the information of idle channels in the Internet of things before the transmission time period.

The idle channel information is information updated in real time, wherein relevant information of a current idle channel is recorded, and the information mainly comprises an identifier of the idle channel, a frequency band corresponding to the idle channel, gains of nodes of the internet of things corresponding to the idle channel, signal transmission strength and the like.

Step S102: and confirming the allocation of the idle channel corresponding to the Internet of things node according to a preset maximum transmission gain rule so as to confirm the transmission channel corresponding to the Internet of things node in the current transmission time period.

According to the specific data transmission requirement, the data of the currently and actually transmitted internet of things nodes and the number of channels in the use state have a dynamic change process, in the dynamic change process, when there is a data transmission requirement on the internet of things nodes, the number of idle channels recorded in the idle channel information may be more or less, and the transmission requirements that different numbers of idle channels can meet are different, and channel allocation is correspondingly required.

In a specific allocation process, a simple channel allocation mode is not needed to be balanced, namely, only one corresponding mode of an internet of things node with a transmission task and an idle channel is provided, specifically, the method is divided into two situations, wherein the first situation is that the transmission requirement exists in the current internet of things node, but the number of the idle channels recorded in the idle channel information is 0, the transmission requirement cannot be met for the respective idle channel of the internet of things node, and only the next transmission period can be waited; the second situation is that there is a transmission requirement for an internet of things node at present, and the number of idle channels recorded in the idle channel information is 1, and at this time, the idle channel is directly allocated to the internet of things node to meet the transmission requirement.

In the scheme, the important point to be processed is that if the current idle channel is not uniquely corresponding to the node of the internet of things with the transmission task, the channel allocation mode can be adopted. Overall, the respective operations are performed according to a preset maximum transmission gain rule. Generally, there are three specific situations, the first situation is that one internet of things node has a transmission task and simultaneously has a plurality of idle channels, and at this time, the transmission channel with the largest transmission gain in the idle channels is allocated as the transmission channel of the internet of things node; the second situation is that a plurality of internet of things nodes have transmission tasks and only have one idle channel, the transmission gains of the plurality of internet of things nodes in the idle channel are compared at the moment, and the idle channel is allocated to the internet of things node with the maximum transmission gain; the third situation is that a plurality of internet of things nodes have a plurality of idle channels at the same time of transmission tasks, at this time, transmission channels are allocated to all the internet of things nodes (the number of the internet of things nodes is less than or equal to the number of the idle channels) or all the idle channels are allocated to part of the internet of things nodes as transmission channels (the number of the internet of things nodes is greater than the number of the idle channels), and the specific allocation principle is that the sum of all corresponding transmission gains is the maximum. For example, currently, there is an internet of things node a, and transmission gains of corresponding idle channels A, B and C are 1.1, 1.4 and 1.2 respectively; the transmission gains of the internet of things node B corresponding to the idle channels A, B and C are 1.0, 1.5 and 1.1 respectively; and the transmission gains of the internet of things node C corresponding to the idle channels A, B and C are respectively 1.3, 1.2 and 1.4, and during random allocation, six allocation modes are provided in total, wherein the total transmission gain is 4.0, 3.8 and 3.4.

For the above three specific cases, if there are two allocation manners with the highest total transmission gain, random allocation is performed. For example, in the third embodiment, if the total transmission gain of both allocation schemes is 4.0, then one of the allocation schemes is selected; for example, in the first and second cases, if one internet of things node corresponds to multiple idle channels with the largest transmission gain, or one idle channel corresponds to multiple internet of things nodes with the largest transmission gain, the idle channel with the largest transmission gain is randomly allocated to the internet of things node, or the idle channel is randomly allocated to the internet of things node with the largest transmission gain.

Step S103: and identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes.

In a specific competition process, the transmission gains of a plurality of internet of things nodes with transmission tasks in idle channels are close and are higher transmission gains, but because the idle channels are insufficient and a competition mechanism is adopted, part of the internet of things nodes with transmission tasks can only wait for the next transmission period to perform next competition.

Step S104: and the nodes of the Internet of things transmit data through corresponding transmission channels in the transmission time period.

The data transmission of the nodes of the internet of things in the normal state is basically similar to the data transmission process of the internet of things, and no particular description is given here. But aiming at some special cases, the scheme further adjusts the data transmission process.

In the specific transmission, in order to further eliminate the transmission conflict during the actual data transmission, the transmission time interval comprises a plurality of time slots with equal length;

correspondingly, step S104 includes:

step S1041: and the nodes of the Internet of things broadcast and send requests in the transmission channels corresponding to the transmission time periods, and perform data transmission through the corresponding transmission channels after receiving cancellation requests responding to the sending requests.

In a specific implementation, step S104 may further include:

step S1042: and the nodes of the Internet of things broadcast and send requests in the transmission channels corresponding to the transmission time periods, and if a cancellation request responding to the sending request is not received, data transmission is carried out through the corresponding transmission channels after one or more equal-length time slots are delayed.

In the specific implementation of the data transmission in the present scheme, it is considered that an idle channel recorded in the idle channel information may be delayed, so that during specific data transmission, an internet of things node currently allocated to a transmission channel broadcasts a sending request before transmission to determine whether the transmission channel is actually in an idle state or not, and whether data transmission can be performed by the transmission channel. If there is no feedback cancellation request after other nodes receive the sending request in the transmission channel, indicating that the other nodes currently occupy the transmission channel for data transmission, the internet of things node transmits data after delaying, specifically, the delay is in units of equal-length time slots, one or more delays can be delayed, if the transmission is attempted again after the delay time is reached, the broadcasting step needs to be executed again, and sending or continuing delaying is selected according to the feedback result.

In a specific implementation process, the present solution further includes step S105.

Step S105: and the nodes of the Internet of things monitor the signal transmission state of each channel in an idle period, and update the idle channel information according to the signal transmission state.

Generally, in an internet of things network system, a total bandwidth is divided into a plurality of parallel channels, each parallel channel corresponds to one internet of things node for data transmission in each transmission period, and in a specific data transmission process, lengths of single data packets transmitted by all the internet of things nodes are equal. In addition, in the scheme, each node of the internet of things can monitor and obtain the signal transmission state of each channel, and a specific monitoring scheme is mostly realized in the prior art, belongs to the basic function of a learning mechanism in a wireless network, and is not described herein.

It should be noted that, as a network system for continuously and dynamically adjusting a connection relationship, the step number mentioned in this embodiment does not indicate a strict limitation on the execution sequence of the step, and each step is executed according to the current state or the time period in which the step is executed, for example, an internet of things node may all be idle time periods in three consecutive time periods, in the three consecutive idle time periods, the physical network node always executes step S105 to monitor the signal transmission state of each channel and update the idle channel information correspondingly, and before and after the three consecutive idle time periods, all are transmission time periods, and in the transmission time periods, the corresponding transmission information is confirmed through steps S101 to S104 and data transmission is performed.

The recorded idle channel information is obtained before the transmission time period of the node of the internet of things starts, and the idle channel information is used for recording the information of the idle channel in the internet of things before the transmission time period; confirming the distribution of the idle channel corresponding to the Internet of things node according to a preset maximum transmission gain rule so as to confirm the transmission channel corresponding to the Internet of things node in the current transmission time period; identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes; and the nodes of the Internet of things transmit data through corresponding transmission channels in the transmission time period. According to the scheme, the idle channel information recorded in real time is obtained, the idle channel and the nodes of the Internet of things are allocated according to the transmission requirement with possible allocation based on the preset maximum transmission gain rule, and the collision probability of actual data transmission after channel allocation is reduced. Particularly, for the method of sending the request by broadcasting in a specific transmission period, the transmission state of each other internet of things node is obtained, whether data transmission needs to be delayed or not is confirmed according to the transmission state, data collision possibly existing in the specific transmission process is effectively avoided, and particularly for the condition that the transmission gain is good but the idle channel is insufficient, the transmission channel is allocated in advance in a pre-allocation mode, so that the collision probability is effectively reduced, and meanwhile, the overall transmission efficiency is guaranteed.

Example two

Fig. 2 is a schematic structural diagram of a data transmission apparatus based on channel pre-allocation according to a second embodiment of the present invention. Referring to fig. 2, the data transmission apparatus based on channel pre-allocation includes: an information acquisition unit 210, a channel allocation unit 220, a second allocation unit 230, and a data transmission unit 240.

The information obtaining unit 210 is configured to obtain recorded idle channel information before a transmission time period of a node of the internet of things starts, where the idle channel information is used to record information of an idle channel in the internet of things before the transmission time period; a channel allocation unit 220, configured to confirm, according to a preset maximum transmission gain rule, allocation of the idle channel corresponding to the internet of things node, so as to confirm a transmission channel corresponding to the internet of things node; a second allocating unit 230, configured to identify, as a waiting node, an internet of things node that is not allocated to an idle channel and has a transmission gain on the idle channel higher than a preset threshold, and pre-allocate, to the waiting node, a transmission channel corresponding to a next transmission period; a data transmission unit 240, configured to perform data transmission on the internet of things node through a corresponding transmission channel in the transmission time period.

On the basis of the above embodiment, the transmission period includes a plurality of equal-length time slots;

correspondingly, the data transmission unit 240 includes:

On the basis of the above embodiment, the data transmission unit 240 further includes:

On the basis of the above embodiment, the apparatus further includes:

The data transmission device based on channel pre-allocation provided by the embodiment of the invention is included in the data transmission equipment based on channel pre-allocation, can be used for executing any data transmission method based on channel pre-allocation provided by the first embodiment, and has corresponding functions and beneficial effects.

EXAMPLE III

Fig. 3 is a schematic structural diagram of a node device of the internet of things according to a third embodiment of the present invention, as shown in fig. 3, the terminal device includes a processor 310, a memory 320, an input device 330, an output device 340, and a communication device 350; the number of the processors 310 in the terminal device may be one or more, and one processor 310 is taken as an example in fig. 3; the processor 310, the memory 320, the input device 330, the output device 340 and the communication device 350 in the terminal equipment may be connected by a bus or other means, and the connection by the bus is taken as an example in fig. 3.

The memory 320 serves as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the data transmission method based on channel pre-allocation in the embodiment of the present invention (for example, the information acquisition unit 210, the channel allocation unit 220, the second allocation unit 230, and the data transmission unit 240 in the data transmission device based on channel pre-allocation). The processor 310 executes various functional applications of the terminal device and data processing, i.e., implements the above-described data transmission method based on channel pre-allocation, by executing software programs, instructions, and modules stored in the memory 320.

The memory 320 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 320 may further include memory located remotely from processor 310, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input device 330 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal apparatus. The output device 340 may include a display device such as a display screen.

The terminal equipment comprises a data transmission device based on channel pre-allocation, can be used for executing any data transmission method based on channel pre-allocation, and has corresponding functions and beneficial effects.

Example four

Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform operations related to a data transmission method based on channel pre-allocation provided in any of the embodiments of the present application, and have corresponding functions and advantages.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product.

Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A data transmission method based on channel pre-allocation is characterized by comprising the following steps:

2. The method of claim 1, wherein the transmission period comprises a plurality of equal length time slots;

3. The method of claim 2, wherein the nodes of the internet of things perform data transmission through corresponding transmission channels during the transmission period, further comprising:

4. The method of claim 1, further comprising:

5. A data transmission apparatus based on channel pre-allocation, comprising:

the second allocation unit is used for identifying the Internet of things nodes which are not allocated to the idle channel and have the transmission gain of the idle channel above a preset threshold value as waiting nodes, and pre-allocating transmission channels corresponding to the next transmission time interval for the waiting nodes;

6. The apparatus of claim 5, wherein the transmission period comprises a plurality of equal length time slots;

correspondingly, the data transmission unit includes:

7. The apparatus of claim 6, wherein the data transmission unit further comprises:

8. The apparatus of claim 5, further comprising:

9. The Internet of things network system is characterized by comprising a plurality of Internet of things nodes, wherein the Internet of things nodes all comprise:

one or more processors;

a memory for storing one or more programs;

when executed by the one or more processors, cause the internet of things network system to implement the method for data transmission based on channel pre-allocation according to any one of claims 1 to 4.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for data transmission based on channel pre-allocation according to any one of claims 1 to 4.