CN117560093A - Distributed underwater acoustic network multiple access method, device, equipment and storage medium - Google Patents

Distributed underwater acoustic network multiple access method, device, equipment and storage medium Download PDF

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Publication number
CN117560093A
CN117560093A CN202410042787.1A CN202410042787A CN117560093A CN 117560093 A CN117560093 A CN 117560093A CN 202410042787 A CN202410042787 A CN 202410042787A CN 117560093 A CN117560093 A CN 117560093A
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network
resource allocation
transmission
channel resource
multiple access
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CN117560093B (en
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王超
杜鹏宇
王方勇
吴梦行
温梦华
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715 Research Institute Of China Shipbuilding Corp
Hanjiang National Laboratory
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715 Research Institute Of China Shipbuilding Corp
Hanjiang National Laboratory
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B13/00—Transmission systems characterised by the medium used for transmission, not provided for in groups H04B3/00 - H04B11/00
    • H04B13/02—Transmission systems in which the medium consists of the earth or a large mass of water thereon, e.g. earth telegraphy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B11/00—Transmission systems employing sonic, ultrasonic or infrasonic waves
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0466—Wireless resource allocation based on the type of the allocated resource the resource being a scrambling code
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a distributed underwater acoustic network multiple access method, a device, equipment and a storage medium, which relate to the field of network transmission, wherein the method comprises the steps of establishing a network link propagation delay table and a network link propagation loss table based on the distance and propagation loss among network nodes, and dividing channel resources according to the working frequency band and the communication mode of the network nodes; establishing a network transmission state table, and updating the network transmission state table according to frequency division and code division network signals obtained by monitoring surrounding channel states by all network nodes; according to the network transmission state table and the network link transmission loss table, when the current network node needs to transmit data, a network channel resource allocation model is established by combining with set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so that data transmission is realized. The method and the device can effectively improve the channel utilization rate and the transmission efficiency of the underwater sound distributed network.

Description

Distributed underwater acoustic network multiple access method, device, equipment and storage medium
Technical Field
The present application relates to the field of network transmission, and in particular, to a method, an apparatus, a device, and a storage medium for multiple access of a distributed underwater acoustic network.
Background
Continuous exploration of the marine environment requires underwater sensor networks to support, and underwater acoustic communication is currently the primary way to enable long-distance transmission under water. The distributed underwater acoustic network is an underwater acoustic communication network which directly connects all nodes, has the advantages of no need of routing selection, suitability for small-sized data interaction networks, interference to other nodes caused by network nodes during data transmission, influence on the reception of other nodes and reduction of network transmission efficiency.
The interference means that a plurality of underwater sound signals without obvious distinction (same frequency band and same coding mode) are received at the same time at the position of the network node, so that the current network node cannot decode the information normally. The underwater sound MAC (Media Access Control, medium access control) protocol is used to suppress interference, and common protocols include time division multiple access, code division multiple access, frequency division multiple access.
The transmission modes such as time division multiple access, code division multiple access, frequency division multiple access and the like need to be designed in advance according to network nodes, and are difficult to change in the operation process, so that the network autonomy is poor. Furthermore, the time division multiple access mode needs high-precision clock synchronization of network nodes, so that network complexity is increased, and implementation is difficult; the network frequency band and the coding resource are less, so that the code division multiple access and frequency division multiple access mode only support the simultaneous transmission of a small number of nodes, the channel utilization rate is not high, and the network transmission efficiency still needs to be improved.
Disclosure of Invention
The application provides a distributed underwater acoustic network multiple access method, a device, equipment and a storage medium, which can effectively improve the channel utilization rate and transmission efficiency of the underwater acoustic distributed network.
In a first aspect, an embodiment of the present application provides a distributed underwater acoustic network multiple access method, where the distributed underwater acoustic network multiple access method includes:
based on the distance and propagation loss between network nodes, a network link propagation delay table and a network link propagation loss table are established, and channel resources are divided according to the working frequency band and the communication mode of the network nodes;
establishing a network transmission state table, and updating the network transmission state table according to frequency division and code division network signals obtained by monitoring surrounding channel states by all network nodes;
according to the network transmission state table and the network link transmission loss table, when the current network node needs to transmit data, a network channel resource allocation model is established by combining with set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so that data transmission is realized.
With reference to the first aspect, in one implementation manner, the establishing a network link propagation delay table and a network link propagation loss table based on the distance and the propagation loss between the network nodes, and dividing the channel resources according to the working frequency band and the communication mode of the network nodes specifically includes:
setting the positions of network nodes according to the working area, realizing the layout of the distributed underwater acoustic network of the working area, and calculating to obtain the distance and propagation loss among the network nodes;
according to the calculated distance and propagation loss between the network nodes, a network link propagation delay table and a network link propagation loss table are established;
and dividing channel resources according to the working frequency band and the communication mode of the network node to form a plurality of sub-frequency bands and sub-codes for transmitting data signals of different network nodes.
With reference to the first aspect, in one implementation manner, the establishing a network transmission state table, and updating the network transmission state table according to a frequency division and code division network signal obtained by each network node monitoring surrounding channel states, specifically includes:
establishing a network transmission state table, and monitoring surrounding channel states by each network node in real time;
judging whether the current network node can receive the frequency division and code division network signal or not:
if not, the current network node continues to monitor the surrounding channel state;
if yes, extracting transmission information and frequency division code division information in the frequency division code division network signal, and updating a network transmission state table according to the extracted transmission information.
In combination with the first aspect, in one implementation manner, when the current network node needs to perform data transmission according to the network transmission state table and the network link propagation loss table, a network channel resource allocation model is established in combination with a set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so as to implement data transmission, which specifically includes:
when the current network node needs to transmit data, combining a network link propagation loss table and an updated network transmission state table, taking the minimum transmitting power as a target, taking the link transmission state of the current network node which is successful in data transmission and does not affect other network nodes as a constraint, and establishing a network channel resource allocation model;
and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and realizing data transmission.
With reference to the first aspect, in one implementation manner, the obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm specifically includes:
determining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and judging whether the optimal channel resource allocation scheme can be determined or not:
if not, the current channel frequency division and the code division are not capable of supporting the transmission of the current data, a network transmission state table is analyzed, after the link transmission in the network is completed, the network transmission state table is updated, the link after the transmission is completed is deleted, the network transmission state table after the transmission is combined with the network link transmission loss table and the updated network transmission state table again, the minimum transmitting power is taken as a target, the current network node data transmission is successful and the link transmission state of other network nodes is not influenced as a constraint, a network channel resource allocation model is established, the optimal channel resource allocation scheme is determined according to a preset time-frequency code joint search algorithm, and the optimal channel resource allocation scheme is determined until the optimal channel resource allocation scheme can be determined;
if yes, the current network node updates the network transmission state table according to the determined optimal channel resource allocation scheme, and realizes data transmission in an optimal frequency and coding mode in the optimal channel resource allocation scheme.
With reference to the first aspect, in one implementation manner, the determining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm specifically includes:
performing time-frequency code resource optimization analysis, dividing frequency bands and coding resources, and calculating to obtain sound source levels in the current signal frequency division and code division modes;
judging whether the current signal frequency division and code division mode can affect the existing link transmission, if so, indicating that the current signal frequency division and code division mode is not feasible, and if not, indicating that the current signal frequency division and code division mode is feasible, and calculating successfully;
after all the signal frequency division and code division modes are calculated, judging whether all the signal frequency division and code division modes are failed to be calculated or not:
if yes, indicating that the optimal channel resource allocation scheme cannot be determined;
if not, the optimal channel resource allocation scheme can be determined.
With reference to the first aspect, in one implementation, when an optimal channel resource allocation scheme can be determined:
and analyzing to obtain the minimum value of the sound source level corresponding to the signal frequency division and code division modes which are successfully calculated, and taking the signal frequency division and code division mode with the minimum value of the sound source level as an optimal channel resource allocation scheme.
In a second aspect, embodiments of the present application provide a distributed underwater acoustic network multiple access device, the distributed underwater acoustic network multiple access device comprising:
the establishing module is used for establishing a network link propagation delay table and a network link propagation loss table based on the distance and the propagation loss among the network nodes and dividing channel resources according to the working frequency band and the communication mode of the network nodes;
the updating module is used for establishing a network transmission state table and updating the network transmission state table according to the frequency division code division network signals obtained by monitoring the surrounding channel states of all the network nodes;
the execution module is used for establishing a network channel resource allocation model by combining set constraints when the current network node needs to transmit data according to the network transmission state table and the network link transmission loss table, and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm so as to realize data transmission.
In a third aspect, an embodiment of the present application provides a distributed underwater acoustic network multiple access device, where the distributed underwater acoustic network multiple access device includes a processor, a memory, and a distributed underwater acoustic network multiple access program stored on the memory and executable by the processor, where the distributed underwater acoustic network multiple access program, when executed by the processor, implements the steps of the distributed underwater acoustic network multiple access method described above.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where a distributed underwater acoustic network multiple access program is stored on the computer readable storage medium, where the distributed underwater acoustic network multiple access program, when executed by a processor, implements the steps of the distributed underwater acoustic network multiple access method described above.
The beneficial effects that technical scheme that this application embodiment provided include:
the network node perceives the network channel state in real time, establishes a network channel resource allocation model of the underwater acoustic network according to the network channel state, optimizes the time-frequency code resources corresponding to the channels in real time by utilizing a time-frequency code joint search algorithm, autonomously realizes simultaneous transmission of a plurality of links in the network, does not influence each other, and effectively improves the channel utilization rate and the transmission efficiency of the underwater acoustic distributed network.
Drawings
Fig. 1 is a schematic flow chart of a multiple access method of a distributed underwater acoustic network according to the present application;
FIG. 2 is a network topology of a distributed underwater acoustic network in an example;
FIG. 3 is a graph of propagation loss results calculated according to the BELLHOP model;
fig. 4 is a schematic functional block diagram of a distributed underwater acoustic network multiple access device according to the present application;
fig. 5 is a schematic hardware structure of the distributed underwater acoustic network multiple access device of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
In a first aspect, an embodiment of the present application provides a distributed underwater acoustic network multiple access method.
In an embodiment, referring to fig. 1, fig. 1 is a flow chart of a multiple access method of a distributed underwater acoustic network according to the present application. As shown in fig. 1, the multiple access method of the distributed underwater acoustic network includes:
s1: based on the distance and propagation loss between network nodes, a network link propagation delay table and a network link propagation loss table are established, and channel resources are divided according to the working frequency band and the communication mode of the network nodes;
further, in an embodiment, a network link propagation delay table and a network link propagation loss table are established based on distances and propagation losses between network nodes, and channel resources are divided according to working frequency bands and communication modes of the network nodes, specifically:
s101: setting the positions of network nodes according to the working area, realizing the layout of the distributed underwater acoustic network of the working area, and calculating to obtain the distance and propagation loss among the network nodes;
the method comprises the steps of determining the positions of network nodes according to the size of an underwater working area and the environmental state, realizing the distribution of a distributed underwater acoustic network of the working area, and calculating the distance between the network nodes and the data signal propagation loss between the network nodes after the distribution of the distributed underwater acoustic network is completed.
S102: according to the calculated distance and propagation loss between the network nodes, a network link propagation delay table and a network link propagation loss table are established; the network link propagation loss table is used for representing the data signal transmission loss between any two network nodes in the distributed underwater acoustic network; the network link propagation delay table is used for representing the data signal transmission delay between any two network nodes in the distributed underwater acoustic network.
S103: and dividing channel resources according to the working frequency band and the communication mode of the network node to form a plurality of sub-frequency bands and sub-codes for transmitting data signals of different network nodes. The channel resources are divided according to the working frequency band and the communication mode of the network node to form a plurality of sub-frequency bands and sub-coding modes for transmitting data signals of different network nodes.
S2: establishing a network transmission state table, and updating the network transmission state table according to frequency division and code division network signals obtained by monitoring surrounding channel states by all network nodes; the network transmission state table is used for indicating the transmission sound source level, the transmission loss, the frequency division and code division mode and the transmission ending time between the source network node and the destination network node in the transmission link.
Further, in an embodiment, a network transmission state table is established, and according to a frequency division and code division network signal obtained by monitoring surrounding channel states by each network node, the network transmission state table is updated, specifically:
s201: establishing a network transmission state table, and monitoring surrounding channel states by each network node in real time;
s202: judging whether the current network node can receive the frequency division and code division network signal or not:
if not, the current network node continues to monitor the surrounding channel state;
if yes, extracting transmission information and frequency division code division information in the frequency division code division network signal, and updating a network transmission state table according to the extracted transmission information. The transmission information includes a source network node, a destination network node, a transmission sound source level, and a transmission end time.
For example, for the network node k, it monitors the surrounding channel state in real time, then judges whether itself can receive the frequency division code division network signal, if not, continues to monitor the channel state; and if the frequency division and code division network signal can be received, extracting transmission information in the frequency division and code division network signal, and updating a network transmission state table according to the extracted transmission information.
S3: according to the network transmission state table and the network link transmission loss table, when the current network node needs to transmit data, a network channel resource allocation model is established by combining with set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so that data transmission is realized. When data transmission is performed, the source network node, the destination network node, the transmission sound source level, and the transmission end time are written as transmission information into the network signal.
Further, in an embodiment, according to a network transmission state table and a network link propagation loss table, when a current network node needs to perform data transmission, a network channel resource allocation model is established in combination with a set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so as to implement data transmission, specifically:
s301: when the current network node needs to transmit data, combining a network link propagation loss table and an updated network transmission state table, taking the minimum transmitting power as a target, taking the link transmission state of the current network node which is successful in data transmission and does not affect other network nodes as a constraint, and establishing a network channel resource allocation model; the network channel resource allocation model is used for realizing the allocation operation of the network channel resources.
S302: and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and realizing data transmission.
For example, for the network node k, when there is data to be transmitted, the network node k establishes a network channel resource allocation model by combining the current network transmission state table and the network link propagation loss table, taking the minimum transmission power as a target, taking the link transmission state of the network node k as a constraint, which is successful in data transmission and does not affect other network nodes, and then obtaining the optimal channel resource allocation scheme by a preset time-frequency code joint search algorithm.
It should be noted that, according to the preset time-frequency code joint search algorithm, the optimal channel resource allocation scheme is obtained, specifically:
determining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and judging whether the optimal channel resource allocation scheme can be determined or not:
if not, indicating that the current channel frequency division and the code division cannot support the transmission of the current data, and adopting a time division scheme, analyzing a network transmission state table, after the link transmission in the network is completed (namely, waiting until the link in the distributed underwater acoustic network is subjected to data transmission and transmission is completed), updating the network transmission state table, deleting the link which is completed after transmission, combining the network link transmission loss table and the updated network transmission state table again, taking the minimum transmitting power as a target, establishing a network channel resource allocation model by taking the current network node data transmission success and the link transmission state which does not affect other network nodes as a constraint, determining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and so on until the optimal channel resource allocation scheme can be determined;
if yes, the current network node updates the network transmission state table according to the determined optimal channel resource allocation scheme, and realizes data transmission in an optimal frequency and coding mode in the optimal channel resource allocation scheme.
Further, in an embodiment, the determining of the optimal channel resource allocation scheme is performed according to a preset time-frequency code joint search algorithm, specifically:
a: performing time-frequency code resource optimization analysis, dividing frequency bands and coding resources, and calculating to obtain sound source levels in the current signal frequency division and code division modes; namely, frequency bands and coding resources are divided to obtain a plurality of frequency bands and a plurality of coding modes, then the obtained frequency bands and the obtained coding modes are combined, and a combination is sequentially selected as a current signal frequency division and code division mode.
b: judging whether the current signal frequency division and code division mode can affect the existing link transmission, if so, indicating that the current signal frequency division and code division mode is not feasible, and if not, indicating that the current signal frequency division and code division mode is feasible, and calculating successfully;
c: after all the signal frequency division and code division modes are calculated, judging whether all the signal frequency division and code division modes are failed to be calculated or not:
if yes, indicating that the optimal channel resource allocation scheme cannot be determined;
if not, the optimal channel resource allocation scheme can be determined.
For example, if the combined signal frequency division and code division modes include 4 kinds, it is sequentially determined whether each signal frequency division and code division mode will affect the existing link transmission, so as to obtain a calculation result of each signal frequency division and code division mode, and then after the calculation of each of the 4 kinds of signal frequency division and code division modes is completed, it is determined whether each of the 4 kinds of signal frequency division and code division modes fails to calculate, so as to obtain whether the optimal channel resource allocation scheme can determine a result.
Further, when an optimal channel resource allocation scheme can be determined: and analyzing to obtain the minimum value of the sound source level corresponding to the signal frequency division and code division modes which are successfully calculated, and taking the signal frequency division and code division mode with the minimum value of the sound source level as an optimal channel resource allocation scheme.
The distributed underwater acoustic network multiple access method of the present application is specifically described below with reference to an example.
Referring to fig. 2, a network topology diagram of a distributed underwater acoustic network is obtained by laying, which is a regular hexagonal distributed network composed of 7 network nodes (each number in fig. 2 represents a network node), the hexagonal side length is 3km, the working depth of the network nodes is 20m, the simulated hydrologic condition is an equal sound velocity environment, the specific sound velocity value is 1510m/s, the sea depth is 50m, and the background noise corresponding to the working frequency band is 110dB. The network node communication signal has a decodable signal-to-noise ratio of 6dB and an operating frequency band of 4 kHz-8 kHz.
Propagation loss was calculated from the BELLHOP model, a model describing the propagation of sound waves under water, and the result is shown in fig. 3. And establishing a network link propagation delay table and a network link propagation loss table, wherein the network link propagation loss table is shown in the following table 1, the network link propagation delay table is shown in the following table 2, the nodes in the tables 1 and 2 are network nodes, the numerical units in the table 1 are dB, and the numerical units in the table 2 are s.
For frequency band and coding resource division, the method is divided into two frequency bandsAnd two coding modes->Specifically, the frequency band->4kHz to 5.5kHz, frequency band +.>Is 6.5 kHz-8 kHz. Attenuation value of mutual interference of signals with different frequenciesAttenuation value of 0.001, interference between different encoded signals +.>0.01.
The network node 3 monitors the channel state and monitors that 3 transmission links exist in the network, namelyThe network transmission state table is established as shown in the following Table 3, and is monitored>The last column of the link is the link transmission end time.
When the current time is 15s, the network node 3 needs to transmit data to the network node 7, the data length is 8s, and the network node 3 takes the information which needs to be transmitted as the first timeThe link is added into the network transmission state table of the link, at the moment, the transmission sound source level and the signal frequency division and code division mode of the 4 th link are information to be solved, and the modeling result is as follows:
wherein,the transmission power of the 4 th link to be solved; />And->For the link number>；For the network transmission state table +.>The transmission sound source level and propagation loss of the link; />For the network transmission state table +.>The corresponding network signals of the link adopt sub-frequency bands and sub-coding modes; />Is ambient noise->Is->The first part in the link transmission process>Interference generated by the link, and +.>Is->Interference sum generated by other links during link transmission, +.>Signal-to-noise ratio threshold for successful reception of link data, < >>Attenuation values corresponding to mutual interference of signals of different frequencies +.>Corresponding to attenuation values of the interference between the different encoded signals.
And analyzing and obtaining the information to be solved of the 4 th link according to a preset time-frequency code joint search algorithm. For example, forThe signal form of the first link is calculated to obtain the signal to noise ratio of 181.58dB, whether the signal to noise ratio affects other three links is judged, the left side of the first link larger than the signal is minus 9.8dB, and the signal to noise ratio is smaller than the threshold 6dB, and the link 1 cannot be successfully transmitted at the moment; the left side of the second link larger than the number is 8.7dB and larger than the threshold 6dB, and the link 2 can be successfully transmitted at the moment; the third link is 6.5dB to the left of the greater than number, 6dB greater than the threshold, at which time link 3 may be successfully transmitted. At this time, the calculation result does not satisfy all transmission conditions, and the calculation fails.
For the followingThe signal-to-noise ratio is 172.7dB, and whether the signal-to-noise ratio affects other three links is judged, and all three formulas are established, so that the sound source level transmission signal does not affect the link transmission, and the signal can be successfully transmitted at the moment, and the calculation is successful.
For the followingAnd->And (3) the signal forms of the sound source are all failed in calculation, and no emission sound source level meeting the requirement exists.
In all four possible signal forms, onlyCan successfully transmit, and all other three forms fail to calculate, soThe corresponding minimum signal-to-noise ratio in the signal form is 172.7dB. The network node 3 is in coded form->And the operating frequency band->Constructing a transmitting signal, wherein the transmitting sound source level is 172.7dB, and the transmission ending time is +.>The current time is 15s, the signal length is 8s, for the self-emitted signal +.>Therefore, is->. The network transmission state table of the network node 3 is updated, the updating result is shown in the following table 4, and signals are sent according to the corresponding frequency division code division mode and the transmitting sound source level.
According to the distributed underwater acoustic network multiple access method, network nodes sense network channel states in real time, a network channel resource allocation model of the underwater acoustic network is built according to the network channel state, time-frequency code resources corresponding to channels are optimized in real time by means of a time-frequency code joint search algorithm, simultaneous transmission of a plurality of links in the network is achieved independently, the links do not affect each other, and channel utilization rate and transmission efficiency of the underwater acoustic distributed network are effectively improved.
In a second aspect, embodiments of the present application further provide a distributed underwater acoustic network multiple access device.
In an embodiment, referring to fig. 4, fig. 4 is a schematic functional block diagram of a distributed underwater acoustic network multiple access device according to the present application. As shown in fig. 4, the distributed underwater acoustic network multiple access apparatus includes a creation module, an update module, and an execution module.
The creating module is used for creating a network link propagation delay table and a network link propagation loss table based on the distance and the propagation loss between the network nodes, and dividing channel resources according to the working frequency band and the communication mode of the network nodes; the updating module is used for establishing a network transmission state table, and updating the network transmission state table according to the frequency division code division network signals obtained by monitoring the surrounding channel states of each network node; the execution module is used for establishing a network channel resource allocation model according to the network transmission state table and the network link transmission loss table by combining with the set constraint when the current network node needs to transmit data, and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm to realize data transmission.
The function implementation of each module in the distributed underwater acoustic network multiple access device corresponds to each step in the embodiment of the distributed underwater acoustic network multiple access method, and the function and implementation process of each module are not described in detail herein.
In a third aspect, embodiments of the present application provide a distributed underwater acoustic network multiple access device, which may be a device with a data processing function, such as a personal computer (personal computer, PC), a notebook computer, a server, or the like.
Referring to fig. 5, fig. 5 is a schematic hardware structure of a distributed underwater acoustic network multiple access device according to an embodiment of the present application. In an embodiment of the present application, the distributed underwater acoustic network multiple access device may include a processor, a memory, a communication interface, and a communication bus.
The communication bus may be of any type for implementing the processor, memory, and communication interface interconnections.
The communication interfaces include input/output (I/O) interfaces, physical interfaces, logical interfaces, and the like for interconnecting devices within the distributed acoustic network multiple access device, and for interconnecting the distributed acoustic network multiple access device with other devices (e.g., other computing devices or user devices). The physical interface may be an ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device may be a Display, a Keyboard (Keyboard), or the like.
The memory may be various types of storage media such as random access memory (randomaccess memory, RAM), read-only memory (ROM), nonvolatile RAM (non-volatileRAM, NVRAM), flash memory, optical memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (electrically erasable PROM, EEPROM), and the like.
The processor may be a general-purpose processor, and the general-purpose processor may invoke the distributed underwater acoustic network multiple access program stored in the memory, and execute the distributed underwater acoustic network multiple access method provided in the embodiment of the present application. For example, the general purpose processor may be a central processing unit (central processing unit, CPU). The method performed when the distributed underwater acoustic network multiple access procedure is called may refer to various embodiments of the distributed underwater acoustic network multiple access method of the present application, and will not be described herein.
Those skilled in the art will appreciate that the hardware configuration shown in fig. 5 is not limiting of the application and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium.
The computer readable storage medium of the present application stores a distributed underwater acoustic network multiple access program, wherein when the distributed underwater acoustic network multiple access program is executed by a processor, the steps of the distributed underwater acoustic network multiple access method as described above are implemented.
The method implemented when the distributed underwater acoustic network multiple access procedure is executed may refer to various embodiments of the distributed underwater acoustic network multiple access method of the present application, which are not described herein again.
It should be noted that, the foregoing embodiment numbers are merely for describing the embodiments, and do not represent the advantages and disadvantages of the embodiments.
The terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the foregoing drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus. The terms "first," "second," and "third," etc. are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order, and are not limited to the fact that "first," "second," and "third" are not identical.
In the description of embodiments of the present application, "exemplary," "such as," or "for example," etc., are used to indicate an example, instance, or illustration. Any embodiment or design described herein as "exemplary," "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "such as" or "for example," etc., is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B; the text "and/or" is merely an association relation describing the associated object, and indicates that three relations may exist, for example, a and/or B may indicate: the three cases where a exists alone, a and B exist together, and B exists alone, and in addition, in the description of the embodiments of the present application, "plural" means two or more than two.
In some of the processes described in the embodiments of the present application, a plurality of operations or steps occurring in a particular order are included, but it should be understood that these operations or steps may be performed out of the order in which they occur in the embodiments of the present application or in parallel, the sequence numbers of the operations merely serve to distinguish between the various operations, and the sequence numbers themselves do not represent any order of execution. In addition, the processes may include more or fewer operations, and the operations or steps may be performed in sequence or in parallel, and the operations or steps may be combined.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising several instructions for causing a terminal device to perform the method described in the various embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.

Claims (10)

1. The distributed underwater acoustic network multiple access method is characterized by comprising the following steps of:
based on the distance and propagation loss between network nodes, a network link propagation delay table and a network link propagation loss table are established, and channel resources are divided according to the working frequency band and the communication mode of the network nodes;
establishing a network transmission state table, and updating the network transmission state table according to frequency division and code division network signals obtained by monitoring surrounding channel states by all network nodes;
according to the network transmission state table and the network link transmission loss table, when the current network node needs to transmit data, a network channel resource allocation model is established by combining with set constraint, and an optimal channel resource allocation scheme is obtained according to a preset time-frequency code joint search algorithm, so that data transmission is realized.
2. The method for multiple access of a distributed underwater acoustic network according to claim 1, wherein the steps of establishing a network link propagation delay table and a network link propagation loss table based on the distance and propagation loss between the network nodes, and dividing channel resources according to the working frequency band and communication mode of the network nodes are as follows:
setting the positions of network nodes according to the working area, realizing the layout of the distributed underwater acoustic network of the working area, and calculating to obtain the distance and propagation loss among the network nodes;
according to the calculated distance and propagation loss between the network nodes, a network link propagation delay table and a network link propagation loss table are established;
and dividing channel resources according to the working frequency band and the communication mode of the network node to form a plurality of sub-frequency bands and sub-codes for transmitting data signals of different network nodes.
3. The method for multiple access of a distributed underwater acoustic network according to claim 1, wherein the step of establishing a network transmission state table and updating the network transmission state table according to the frequency division and code division network signals obtained by monitoring surrounding channel states by each network node comprises the following steps:
establishing a network transmission state table, and monitoring surrounding channel states by each network node in real time;
judging whether the current network node can receive the frequency division and code division network signal or not:
if not, the current network node continues to monitor the surrounding channel state;
if yes, extracting transmission information and frequency division code division information in the frequency division code division network signal, and updating a network transmission state table according to the extracted transmission information.
4. The method of claim 1, wherein the establishing a network channel resource allocation model according to the network transmission state table and the network link transmission loss table by combining with a set constraint when the current network node needs to perform data transmission, and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, so as to implement data transmission, specifically:
when the current network node needs to transmit data, combining a network link propagation loss table and an updated network transmission state table, taking the minimum transmitting power as a target, taking the link transmission state of the current network node which is successful in data transmission and does not affect other network nodes as a constraint, and establishing a network channel resource allocation model;
and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and realizing data transmission.
5. The method for multiple access of a distributed underwater acoustic network as claimed in claim 4, wherein the obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm is specifically as follows:
determining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm, and judging whether the optimal channel resource allocation scheme can be determined or not:
if not, the current channel frequency division and the code division are not capable of supporting the transmission of the current data, a network transmission state table is analyzed, after the link transmission in the network is completed, the network transmission state table is updated, the link after the transmission is completed is deleted, the network transmission state table after the transmission is combined with the network link transmission loss table and the updated network transmission state table again, the minimum transmitting power is taken as a target, the current network node data transmission is successful and the link transmission state of other network nodes is not influenced as a constraint, a network channel resource allocation model is established, the optimal channel resource allocation scheme is determined according to a preset time-frequency code joint search algorithm, and the optimal channel resource allocation scheme is determined until the optimal channel resource allocation scheme can be determined;
if yes, the current network node updates the network transmission state table according to the determined optimal channel resource allocation scheme, and realizes data transmission in an optimal frequency and coding mode in the optimal channel resource allocation scheme.
6. The method for multiple access of a distributed underwater acoustic network as claimed in claim 4, wherein the determining of the optimal channel resource allocation scheme according to the preset time-frequency code joint search algorithm is specifically as follows:
performing time-frequency code resource optimization analysis, dividing frequency bands and coding resources, and calculating to obtain sound source levels in the current signal frequency division and code division modes;
judging whether the current signal frequency division and code division mode can affect the existing link transmission, if so, indicating that the current signal frequency division and code division mode is not feasible, and if not, indicating that the current signal frequency division and code division mode is feasible, and calculating successfully;
after all the signal frequency division and code division modes are calculated, judging whether all the signal frequency division and code division modes are failed to be calculated or not:
if yes, indicating that the optimal channel resource allocation scheme cannot be determined;
if not, the optimal channel resource allocation scheme can be determined.
7. The distributed underwater acoustic network multiple access method of claim 6, wherein when an optimal channel resource allocation scheme can be determined:
and analyzing to obtain the minimum value of the sound source level corresponding to the signal frequency division and code division modes which are successfully calculated, and taking the signal frequency division and code division mode with the minimum value of the sound source level as an optimal channel resource allocation scheme.
8. A distributed underwater acoustic network multiple access device, the distributed underwater acoustic network multiple access device comprising:
the establishing module is used for establishing a network link propagation delay table and a network link propagation loss table based on the distance and the propagation loss among the network nodes and dividing channel resources according to the working frequency band and the communication mode of the network nodes;
the updating module is used for establishing a network transmission state table and updating the network transmission state table according to the frequency division code division network signals obtained by monitoring the surrounding channel states of all the network nodes;
the execution module is used for establishing a network channel resource allocation model by combining set constraints when the current network node needs to transmit data according to the network transmission state table and the network link transmission loss table, and obtaining an optimal channel resource allocation scheme according to a preset time-frequency code joint search algorithm so as to realize data transmission.
9. A distributed underwater acoustic network multiple access device comprising a processor, a memory, and a distributed underwater acoustic network multiple access program stored on the memory and executable by the processor, wherein the distributed underwater acoustic network multiple access program when executed by the processor implements the steps of the distributed underwater acoustic network multiple access method of any of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a distributed hydroacoustic network multiple access program, wherein the distributed hydroacoustic network multiple access program, when executed by a processor, implements the steps of the distributed hydroacoustic network multiple access method according to any of claims 1 to 7.
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