CN114172591A - Efficient concurrent transmission method for multi-body underwater acoustic communication network - Google Patents

Efficient concurrent transmission method for multi-body underwater acoustic communication network Download PDF

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CN114172591A
CN114172591A CN202111344240.XA CN202111344240A CN114172591A CN 114172591 A CN114172591 A CN 114172591A CN 202111344240 A CN202111344240 A CN 202111344240A CN 114172591 A CN114172591 A CN 114172591A
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transmission
sound source
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CN114172591B (en
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王超
杜栓平
张宏滔
朱小辉
谢哲
王桢铎
周武
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715th Research Institute of CSIC
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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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H04L1/0048—Decoding adapted to other signal detection operation in conjunction with detection of multiuser or interfering signals, e.g. iteration between CDMA or MIMO detector and FEC decoder
    • 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 relates to the field of underwater acoustic communication network transmission, in particular to a high-efficiency concurrent transmission method for a multi-body underwater acoustic communication network, which is characterized in that handshake signals are sent among nodes in a local channel when data transmission is needed, and the channel characteristics of the nodes are acquired; simultaneously monitoring signals of adjacent channels to acquire non-self channel characteristics; each local channel determines the optimal transmitting sound source level and the communication rate as the transmission strategy of the maximum network transmission efficiency by taking the unit energy whole network information transmission quantity maximization as an optimization target according to the self channel characteristics and the non-self channel characteristics; and each local channel performs concurrent data transmission according to the determined transmission strategy. According to the invention, by designing the content of the control packet and the sending strategy, each node in the network can acquire the state of a channel and the network in real time, so that the network information transmission efficiency is improved; by designing the sound source level and the communication system of each node of the network, a plurality of links in the network can simultaneously transmit network signals, and the network information transmission efficiency is maximized.

Description

Efficient concurrent transmission method for multi-body underwater acoustic communication network
Technical Field
The invention relates to the field of underwater acoustic communication network transmission, in particular to a high-efficiency concurrent transmission method for a multi-body underwater acoustic communication network.
Background
The underwater acoustic communication network is an important means for marine monitoring, and has wide application prospects in the aspects of marine environment measurement, marine resource exploration and the like. However, the problems of limited bandwidth of the underwater acoustic channel, large propagation delay, limited energy of network nodes and the like make data transmission between the underwater acoustic communication networks face a serious challenge. Therefore, a data transmission method suitable for an underwater acoustic channel needs to be designed to improve the information acquisition efficiency of the underwater acoustic sensor network.
The underwater acoustic channel is an open resource, and if a plurality of nodes in the underwater acoustic network send signals through the underwater acoustic channel at the same time, the signals are easy to collide with each other, so that transmission failure is caused. The data transmission strategy commonly used in the existing underwater acoustic communication network is to compete for underwater acoustic channel resources (such as a MACA protocol) through a handshake process, nodes which succeed in competition will occupy an underwater acoustic channel to transmit data, and other nodes enter a backoff state to stop signal transmission, so as to avoid collision of signals in the network, but the strategy seriously reduces the data transmission efficiency of the underwater acoustic network. Therefore, how to design an underwater acoustic network transmission strategy to realize multi-node data concurrent transmission in the network is a key for improving the information transmission efficiency of the underwater acoustic sensor network.
Through the development of many years, the underwater acoustic communication technology forms various communication systems, such as pseudo-random spread spectrum, incoherent MFSK, coherent PSK and the like, and different underwater acoustic communication systems have respective advantages in the aspects of communication capacity, reliability, concealment and the like. However, the existing underwater acoustic communication network usually adopts a single system, and the network cannot cope with complicated and changeable marine environments and increasingly diversified applications. If the underwater communication network can be compatible with various communication systems, and the optimal communication system is dynamically selected, the maximum network efficiency can be ensured to be exerted under different environments and different application requirements.
The present application was made based on this.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a high-efficiency concurrent transmission method for a multi-body underwater acoustic communication network, and the information transmission efficiency of the underwater acoustic network is improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a high-efficiency concurrent transmission method for a multi-body underwater acoustic communication network is characterized in that the transmission rates and the minimum signal-to-noise ratios of a plurality of different communication systems in the network are different, and a time slot-based MACA protocol is adopted during data transmission, and comprises the following steps:
(1) judging whether a communication network comprising a plurality of channels needs to transmit data, if so, executing the step (2), and if not, ending the step;
(2) sending handshake signals among nodes in a local channel to acquire self channel characteristics; simultaneously monitoring signals of adjacent channels to acquire non-self channel characteristics;
(3) each local channel determines the optimal transmitting sound source level and the communication rate as the transmission strategy of the maximum network transmission efficiency by taking the unit energy whole network information transmission quantity maximization as an optimization target according to the self channel characteristics and the non-self channel characteristics;
(4) and each local channel performs concurrent data transmission according to the determined transmission strategy.
Preferably, the timeslot-based MACA protocol is: each channel comprises a source node and a destination node, wherein the source node sends a DATA DATA packet to the destination node, before sending the DATA DATA packet, the source node needs to send an RTS control packet to the destination node, the destination node sends a CTS control packet to the source node, and the sent RTS control packet and the sent CTS control packet are the handshake signals; the RTS control packet, the CTS control packet and the DATA DATA packet are all sent at the starting time of the time slot; the time slot length is the sum of the maximum propagation delay of the network, the maximum data packet time length and the guard interval; the transmitter system of the RTS and CTS control packets selects the most stable communication system of the plurality of communication systems.
Preferably, the step (2) specifically includes the following steps:
(2.1) monitoring the channel state of the communication network when data transmission is needed, and if no channel for data transmission exists, considering the channel to be in an idle state; if the channel which is transmitting data exists, the channel is regarded as busy;
(2.2) determining the transmitting sound source level of the RTS control packet sent by the source node in the local channel according to the channel state; if the channel state is an idle state, the transmitting sound source level of the RTS control packet sent by the source node in the local channel is the maximum transmitting sound source level; if the channel state is a busy state, extracting the maximum tolerable interference margin of the channel carrying out data transmission, and determining the transmitting sound source level of the RTS control packet sent by the source node in the local channel according to the maximum tolerable interference margin;
(2.3) the source node in the local channel sends an RTS control packet containing the transmitting sound source level to the destination node according to the transmitting sound source level determined in the step (2.2);
(2.4) the destination node in the local channel analyzes the RTS control packet, calculates the propagation loss from the source node to the destination node in the local channel as the self-channel characteristic, and sends a CTS control packet containing the propagation loss of the local channel to the source node in the local channel;
and (2.5) monitoring adjacent channels simultaneously, extracting and calculating the propagation loss from the source node in any local channel to the destination node in any adjacent channel as the non-self channel characteristic, so that the propagation loss from any source node to any destination node can be obtained.
Preferably, the method for calculating the maximum emission sound source level comprises the following steps: using the interference energy of the control packet to be transmitted to the adjacent channel less than the maximum tolerable interference margin PI of the adjacent channel as the constraint condition, and transmitting the sound source level interval [ SL ]min,SLmax]And obtaining the optimal transmitting sound source level by internal search, wherein the specific expression is as follows:
Figure BDA0003353394330000031
where M is the total number of channels, PI, in the current time slot in which data transmission is taking placejMaximum interference signal energy information, TL, for the destination node of the jth data channeljAnd the propagation loss from the local node to the destination node of the jth data channel, SL is the corresponding transmitting sound source level of the local node, and m represents the receiving sensitivity of the destination node of the jth data channel.
Preferably, the step (3) is specifically: the unit energy whole network information transmission quantity is maximized as a target utility function, the constraint condition comprises two items, the first item is that the interference energy of a data packet to be transmitted to an adjacent channel is required to be less than the maximum tolerable interference margin PI of the adjacent channel, the second item is that the receiving signal-to-noise ratio of a target node is required to be greater than the decodable minimum signal-to-noise ratio of a corresponding communication system, and the target node transmits a sound source level interval [ SL ]min,SLmax]A transmission rate interval [ cmin,cmax]And (3) obtaining the optimal transmitting sound source level and the communication rate by internal search, wherein the calculation formula is described by a formula (2):
Figure BDA0003353394330000041
wherein N is the total number of channels to be transmitted in the current time slot, N can be obtained by predicting the number of RTS and CTS control packets in the time slot before monitoring, ciFor the transmission rate, P, of the ith channel to be transmittediIs the relative transmitting power of the source node of the ith channel to be transmitted, M is the total number of channels which are transmitting data in the current time slot, SLiFor the emitting sound source level, TL, of the source node on the ith channel to be emittediiFor propagation loss, NI, on the ith candidate channeliFor the noise level, NI, of the destination node on the ith candidate channeliContaining ambient noise
Figure BDA0003353394330000042
And interference noise
Figure BDA0003353394330000043
Th(ci) To and from the communication rate ciDecodable minimum signal-to-noise ratio for a corresponding communication regime，TLijIs the propagation loss between the source node on the ith channel to be transmitted and the node of the jth channel in the process of data transmission, m is the receiving sensitivity of the node of the jth channel in the process of data transmission, and PIjThe maximum tolerable interference margin for the node of the jth channel on which data transmission is taking place.
Preferably, the propagation loss is calculated by: the destination node Rj calculates the SNR according to the actual waveform of the RTS control packet of the source node SiSi_RjTransmitting sound source level SL in combined background noise NL and RTS control packetSiInformation, calculating channel propagation loss TLSi_RjThe calculation process is described by formula (3),
Figure BDA0003353394330000044
wherein P isSiFor signal received power, EnFor noise power, the background noise NL is 10 × log10(En) Can be obtained from the actual received waveform.
Compared with the prior art, the invention can realize the following beneficial technical effects:
(1) the invention ensures that each node in the network can acquire the states of the adjacent node and the channel in real time by designing the content of the control packet and the sending strategy, and is used for improving the network information transmission efficiency.
(2) The invention realizes that a plurality of links in the network transmit network signals simultaneously by designing the sound source level and the communication system of each node of the network, thereby maximizing the network information transmission efficiency.
Drawings
FIG. 1 is a flow chart of an embodiment of the method of the present invention;
FIG. 2 is a diagram of simulated network topologies of example 1 and example 2;
fig. 3 is a schematic diagram of concurrent data transmission by three source nodes in a channel idle state according to embodiment 1;
fig. 4 shows the network transmission efficiency results corresponding to different transmission sound source levels of three source nodes in the channel idle state in embodiment 1;
fig. 5 is a schematic diagram of concurrent data transmission by three source nodes in a channel busy state according to embodiment 2;
fig. 6 shows the network transmission efficiency results corresponding to different transmission sound source levels of three source nodes in the channel busy state of embodiment 2.
Detailed Description
In order to make the technical means of the present invention and the technical effects achieved thereby clearer and more complete, two embodiments are provided, and the following detailed description is made with reference to the accompanying drawings:
referring to fig. 1 and fig. 2, fig. 1 is a flow chart of the method of the present invention, fig. 2 is a network topology chart of embodiments 1 and 2 of the present invention, and fig. 2 includes 6 nodes. In the simulation scene, S1, S2 and S3 are used as source nodes, R1, R2 and R3 are used as destination nodes, the 6 simulation nodes are all in the maximum transmission distance range of each other, and support three communication systems, namely direct sequence spread spectrum, multi-frequency shift keying (MFSK) and single carrier PSK, and the corresponding communication rates c are 70bps, 300bps and 2800bps respectively, wherein c ismin＝70bps，cmax2800 bps. For bit error rates below 10-3The decoding signal-to-noise ratios corresponding to the three communication systems are at least-11 dB, -5dB and 8 dB. The emitting sound source level of each node is 7 grades, the corresponding emitting sound source levels are 186dB, 183dB, 180dB, 177dB, 174dB, 171dB and 168dB respectively, wherein SLmin＝168dB，SLmaxThe signal frequency band is 6 kHz-12 kHz, and the receiving sensitivity m of the node is-150 dB (including the amplification). The simulation embodiment 1 and the simulation embodiment 2 are used for verifying whether the network can realize the network concurrent transmission according to the method provided by the invention, and the network information transmission efficiency is maximized.
In the following, according to the network topology in fig. 2, the data transmission policy in the network is discussed in two cases, i.e. a channel free state and a busy state, respectively, according to the channel state (the S3 node is sending data to the R3 node), which form the following two embodiments.
Example 1
The first case is the channel idle state, i.e. no data transmission link within the network.
Referring to fig. 3, the operating state of the system is as shown in fig. 3, and fig. 3 is a schematic diagram of concurrent data transmission by three source nodes in the idle channel state according to embodiment 1, where S1, S2, and S3 nodes need to send data to R1, R2, and R3, respectively, and because no other node is transmitting data in the channel and the RTS control packet does not interfere with other signals, there is no constraint condition in the calculation method of the transmission sound level of the RTS control packet, and the transmission sound level of the RTS control packet is obtained as the maximum SLmax186 dB. Because the RTS control packet is short and the distances from each control packet to different destination nodes are different, the R1, R2 and R3 nodes can all receive three RTS control packets, and the destination node in fig. 3 receives a frame with a solid line
Figure BDA0003353394330000061
The RTS control packet of (2) indicates that the destination node is itself, and is enclosed by a dotted line
Figure BDA0003353394330000062
The RTS control packet of (a) indicates that the destination node is not itself, but can hear the information itself.
The destination node Rj calculates the received signal-to-noise ratio (SNR) according to the actual waveform of the RTS control packet of the source node SiSi_Rj) Emitting sound Source Level (SL) in joint background Noise (NL) and RTSSi) Information, calculating channel propagation loss (TL)Si_Rj) The calculation process can be described by equation (3).
Figure BDA0003353394330000063
Wherein P isSiFor signal received power, EnFor noise power, the background noise NL is 10 × log10(En) Can be obtained from the actual received waveform.
After the computation is completed, the channel propagation loss TLSi_RjAnd transmitting sound source level are packaged to form a CTS control packet, and at the beginning of a second time slot (slot2), the CTS control packet is sent by R1 to S1, R2 to S2, R3 to S3, and the transmitting sound source level of the CTS is the maximum SL since no data is transmitted in the channelmax＝186dB。S1、S2And the S3 node receives three CTS control packets at different times, and the source node receives the frame with solid line in FIG. 3
Figure BDA0003353394330000071
The CTS of (2) indicates that the destination node is self, and the dotted line box
Figure BDA0003353394330000072
CTS of (2) indicates that the destination node is not itself, but can hear the information itself.
The source nodes S1, S2 and S3 receive the CTS control packet and extract the channel propagation loss TL thereinSi_RjAnd calculating the received signal-to-noise ratio (SNR) based on the actual waveform and the transmitted sound source level informationSi_Rj) Suppose the result of the extraction and calculation is
TLS1＝[TLS1_R1 TLS1_R2 TLS1_R3]＝[65 70 76]
TLS2＝[TLS2_R1 TLS2_R2 TLS2_R3]＝[70 65 72]
TLS3＝[TLS3_R1 TLS3_R2 TLS3_R3]＝[76 72 65]，
The unit is dB, each source node can receive three CTS control packets, so that the propagation loss from any source node to three destination nodes can be extracted, and the following optimization problem is constructed
Figure BDA0003353394330000073
Figure BDA0003353394330000074
The actual received waveform may be obtained for the measured ambient noise. Due to the emission of the sound source level SLiAnd communication rate ciOnly fixed integers can be taken, so the problem is an integer programming problem and can be solved by an optimization theoretical method. Setting the background noise NL as broadband noise (6kHz to 12kHz), setting the noise sound source level NL as 101.4dB, and calculating the result as shown in fig. 4, where the abscissa in the x direction is S1 node and S3 nodeThe y-direction ordinate is the transmitting sound source level of the node S2, the z-direction represents the network transmission efficiency, and the point of maximum network efficiency appears in SLs1＝168dB，SLs2＝168dB，SLs3177 dB. Therefore, the S1 node selects the transmitting sound source level to be 168dB, the communication system is multi-frequency shift keying, the corresponding communication rate is 300bps, the receiving signal-to-noise ratio of the receiving end R1 is-2.14 dB, and the maximum tolerable interference margin is 1.28 multiplied by 10-5(ii) a The S2 node selects the transmitting sound source level 168dB, the communication system is multi-frequency shift keying, the corresponding communication rate is 300bps, the receiving signal-to-noise ratio of the receiving end R2 is-4.13 dB, and the maximum tolerable interference margin is 3 multiplied by 10-6(ii) a The S3 node selects 177dB of transmitting sound source level, the communication system is single carrier, the corresponding communication rate is 2800bps, the receiving signal-to-noise ratio of the receiving end R3 is 9.13dB, and the maximum tolerable interference margin is 4.1 multiplied by 10-6. And then the nodes S1, S2 and S3 set transmission parameters according to the calculation results, and send DATA DATA packets to the nodes R1, R2 and R3, wherein the DATA packets comprise the maximum tolerable interference margin information and the transmission sound source level information.
Example 2
The second case is a channel busy state, i.e., the S3 node is sending data to the R3 node.
At this time, the S1 and S2 nodes need to send data to R1 and R2 respectively. The working state of the system is shown in fig. 5, wherein, the S1 and S2 nodes need to send data to R1 and R2, but monitor that the channel is in a busy state (S3 is sending data to R3), S1 and S2 extract the maximum tolerable interference margin PI in the data, the data transmission of S3 and R3 adopts a single-carrier communication system, the transmitting sound source level is 180dB, and the destination node R3 has the maximum tolerable interference margin PIR3Is 1.2X 10-5. The node S1 calculates the transmit sound level for sending the RTS handshake signal, which can be expressed by the following equations respectively
Figure BDA0003353394330000081
Wherein TLS1_R3For propagation loss of the transmitted signal from the S1 node to the R3 node, the information is data at the S3 node and the R3 nodeThe handshake process before transmission is listened to by the S1 node and has a size of 76 dB. Resolving the expression to obtain the emitting sound source level as SLs1＝174dB。
The S2 node calculates the transmitting sound source level for sending RTS handshake signal, which can be expressed by the following formula
Figure BDA0003353394330000082
Wherein TLS2_R3For the propagation loss of the signal transmitted by the S2 node to the R3 node, the information is monitored by the S2 node in the handshaking process before the data transmission of the S3 node and the R3 node, and the size of the information is 70 dB. Resolving the expression to obtain the emitting sound source level as SLS2＝171dB。
Because the RTS control packet is short and the distances from the S1 node to the R3 node are different from those from the S2 node, the RTS control packets of S1 and S2 respectively reach R3 at different times, and thus the data transmission process between S3 and R3 is not affected. The RTS control packet is sent at the beginning of the first slot (slot1) and spread with the most robust communication scheme according to this power, and the destination node receives the frame with solid lines in fig. 5
Figure BDA0003353394330000083
RTS of (2) indicates that the destination node is itself, dashed box
Figure BDA0003353394330000084
RTS of indicates that the destination node is not itself.
The destination node Rj calculates the received signal-to-noise ratio (SNR) according to the actual waveform of the RTS control packet of the source node SiSi_Rj) Let TL be the calculation resultS2_R2＝TLS1_R165 dB. After the calculation is finished, according to the propagation loss TL between R3 and R1 acquired by channel monitoringR1_R3Propagation loss TL between R3 and R2 at 75dBR2_R369dB, using the following formula,
Figure BDA0003353394330000091
the CTS emission sound source levels of R1 and R2 were calculated, respectively, and the emission sound source levels of R1 and R2 were SL, respectivelyR1＝174dB，SL R2168 dB. Channel characteristic information TLS1_R1And TLS2_R2Packaging to form a CTS control packet, sending the CTS control packet to S1 by R1 at a transmitting sound source level of 174dB and sending the CTS control packet to S2 by R2 at a transmitting sound source level of 168dB at the beginning of a second time slot (slot2), receiving two CTS control packets by S1 and S2 nodes at different time, and receiving the CTS control packets by the source node with a solid line box in FIG. 5
Figure BDA0003353394330000092
The CTS of (2) indicates that the destination node is self, and the dotted line box
Figure BDA0003353394330000093
CTS of (2) indicates that the destination node is not itself.
The source nodes S1 and S2 receive the CTS control packet and extract the channel propagation loss TL thereinSi_RjAnd calculating the received signal-to-noise ratio (SNR) based on the actual waveform and the transmitted sound source level informationSi_Rj) Assuming that the result of extraction and calculation is the same as in the idle state, the following optimization problem is constructed
Figure BDA0003353394330000094
Figure BDA0003353394330000095
The actual received waveform may be obtained for the measured ambient noise. The problem is an integer programming problem and can be solved by an optimization theoretical method. According to the previous parameters, the calculation result is shown in fig. 6, the x-direction abscissa in the figure is the transmitting sound source level of the S1 node, the y-direction ordinate in the figure is the transmitting sound source level of the S2 node, the z direction represents the network transmission efficiency, and the point of the maximum network efficiency in the figure appears at SLS1＝171dB，SL S2168 dB. The S1 node selects the transmitting sound source level 171dB, the communication system is multi-frequency shift keying, the corresponding communication rate is 300bps, and the receiving endThe received signal-to-noise ratio of R2 is-3.2 dB, and the maximum tolerable interference margin is 7 multiplied by 10-6(ii) a The S2 node selects the transmitting sound source level 168dB, the communication system is multi-frequency shift keying, the corresponding communication rate is 300bps, the receiving signal-to-noise ratio of the receiving end R1 is-4.11 dB, and the maximum tolerable interference margin is 3.14 multiplied by 10-6(ii) a And then the S1 and S2 nodes set transmission parameters according to the calculation result, and send DATA DATA to the R1 and R2 nodes, wherein the DATA packet comprises the maximum tolerable interference margin PI information and the transmission sound source level information.
The above description is provided for the purpose of further elaboration of the technical solutions provided in connection with the preferred embodiments of the present invention, and it should not be understood that the embodiments of the present invention are limited to the above description, and it should be understood that various simple deductions or substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and all such alternatives are included in the scope of the present invention.

Claims (6)

1. A high-efficiency concurrent transmission method for a multi-body underwater acoustic communication network is characterized in that the transmission rates and the decodable minimum signal-to-noise ratios of a plurality of different communication systems in the network are different, and a time slot-based MACA protocol is adopted during data transmission, and the method comprises the following steps:
(1) judging whether a communication network comprising a plurality of channels needs to transmit data, if so, executing the step (2), and if not, ending the step;
(2) sending handshake signals among nodes in a local channel to acquire self channel characteristics; simultaneously monitoring signals of adjacent channels to acquire non-self channel characteristics;
(3) each local channel determines the optimal transmitting sound source level and the communication rate as the transmission strategy of the maximum network transmission efficiency by taking the unit energy whole network information transmission quantity maximization as an optimization target according to the self channel characteristics and the non-self channel characteristics;
(4) and each local channel performs concurrent data transmission according to the determined transmission strategy.
2. The method for efficient concurrent transmission in a multi-body underwater acoustic communication network according to claim 1, wherein the timeslot-based MACA protocol is: each channel comprises a source node and a destination node, wherein the source node sends a DATA DATA packet to the destination node, before sending the DATA DATA packet, the source node needs to send an RTS control packet to the destination node, the destination node sends a CTS control packet to the source node, and the sent RTS control packet and the sent CTS control packet are the handshake signals; the RTS control packet, the CTS control packet and the DATA DATA packet are all sent at the starting time of the time slot; the time slot length is the sum of the maximum propagation delay of the network, the maximum data packet time length and the guard interval; the transmitter system of the RTS and CTS control packets selects the most stable communication system of the plurality of communication systems.
3. The efficient concurrent transmission method for a multi-body underwater acoustic communication network according to claim 2, wherein the step (2) specifically comprises the following steps:
(2.1) monitoring the channel state of the communication network when data transmission is needed, and if no channel for data transmission exists, considering the channel to be in an idle state; if the channel which is transmitting data exists, the channel is regarded as busy;
(2.2) determining the transmitting sound source level of the RTS control packet sent by the source node in the local channel according to the channel state; if the channel state is an idle state, the transmitting sound source level of the RTS control packet sent by the source node in the local channel is the maximum transmitting sound source level; if the channel state is a busy state, extracting the maximum tolerable interference margin of the channel carrying out data transmission, and determining the transmitting sound source level of the RTS control packet sent by the source node in the local channel according to the maximum tolerable interference margin;
(2.3) the source node in the local channel sends an RTS control packet containing the transmitting sound source level to the destination node according to the transmitting sound source level determined in the step (2.2);
(2.4) the destination node in the local channel analyzes the RTS control packet, calculates the propagation loss from the source node to the destination node in the local channel as the self-channel characteristic, and sends a CTS control packet containing the propagation loss of the local channel to the source node in the local channel;
and (2.5) monitoring adjacent channels simultaneously, extracting and calculating the propagation loss from the source node in any local channel to the destination node in any adjacent channel as the non-self channel characteristic, so that the propagation loss from any source node to any destination node can be obtained.
4. The efficient concurrent transmission method for a multi-body underwater acoustic communication network according to claim 3, wherein the maximum transmitting sound source level is calculated by: using the interference energy of the control packet to be transmitted to the adjacent channel less than the maximum tolerable interference margin PI of the adjacent channel as the constraint condition, and transmitting the sound source level interval [ SL ]min,SLmax]And obtaining the optimal transmitting sound source level by internal search, wherein the specific expression is as follows:
Figure FDA0003353394320000021
where M is the total number of channels, PI, in the current time slot in which data transmission is taking placejMaximum interference signal energy information, TL, for the destination node of the jth data channeljAnd the propagation loss from the local node to the destination node of the jth data channel, SL is the corresponding transmitting sound source level of the local node, and m represents the receiving sensitivity of the destination node of the jth data channel.
5. The efficient concurrent transmission method for a multi-body hydroacoustic communication network according to claim 4, wherein the step (3) is specifically: the unit energy whole network information transmission quantity is maximized as a target utility function, the constraint condition comprises two items, the first item is that the interference energy of a data packet to be transmitted to an adjacent channel is required to be less than the maximum tolerable interference margin PI of the adjacent channel, the second item is that the receiving signal-to-noise ratio of a target node is required to be greater than the decodable minimum signal-to-noise ratio of a corresponding communication system, and the target node transmits a sound source level interval [ SL ]min,SLmax]A transmission rate interval [ cmin,cmax]And (3) obtaining the optimal transmitting sound source level and the communication rate by internal search, wherein the calculation formula is described by a formula (2):
Figure FDA0003353394320000031
wherein N is the total number of channels to be transmitted in the current time slot, N can be obtained by predicting the number of RTS and CTS control packets in the time slot before monitoring, ciFor the transmission rate, P, of the ith channel to be transmittediIs the relative transmitting power of the source node of the ith channel to be transmitted, M is the total number of channels which are transmitting data in the current time slot, SLiFor the emitting sound source level, TL, of the source node on the ith channel to be emittediiFor propagation loss, NI, on the ith candidate channeliFor the noise level, NI, of the destination node on the ith candidate channeliContaining ambient noise
Figure FDA0003353394320000032
And interference noise
Figure FDA0003353394320000033
Th(ci) To and from the communication rate ciDecodable minimum signal-to-noise ratio, TL, of a corresponding communication regimeijIs the propagation loss between the source node on the ith channel to be transmitted and the node of the jth channel in the process of data transmission, m is the receiving sensitivity of the node of the jth channel in the process of data transmission, and PIjThe maximum tolerable interference margin for the node of the jth channel on which data transmission is taking place.
6. The efficient concurrent transmission method for a multi-body hydroacoustic communication network as claimed in claim 5, wherein said propagation loss is calculated by: the destination node Rj calculates the SNR according to the actual waveform of the RTS control packet of the source node SiSi_RjTransmitting sound source level SL in combined background noise NL and RTS control packetSiInformation, calculating channel propagation loss TLSi_RjThe calculation process is described by formula (3),
Figure FDA0003353394320000041
wherein P isSiFor signal received power, EnFor noise power, the background noise NL is 10 × log10(En) Can be obtained from the actual received waveform.
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