CN117834529A - Self-adaptive selection method of data transmission channel based on dual-mode communication - Google Patents
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Abstract
The invention discloses a self-adaptive selection method of a data transmission channel based on dual-mode communication, which comprises the following steps: monitoring channel quality parameters of a data transmission channel among nodes in a dual-mode network in a current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels; and responding to the triggering of switching of the data transmission channels, selecting the data transmission channel with the optimal communication mode for switching according to the estimated channel quality and channel quality parameters, realizing smooth switching of two communication modes of broadband power line carrier communication and wireless communication, and simultaneously being compatible with a single-mode communication scheme, thereby improving the reliability and stability of a communication system.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for adaptively selecting a data transmission channel based on dual-mode communications, and a storage medium.
Background
Local communication is one of key and core technologies of the smart grid electricity consumption information acquisition system. The most main two ways of local communication in the current smart grid electricity consumption information acquisition field are broadband power line carrier communication and wireless communication. Broadband power line carrier communication uses a power line as a transmission medium, and performs information transmission by a carrier scheme. The power line carrier is easily affected by factors such as noise interference, signal attenuation and the like of a power line network, and certain fluctuation exists in communication quality and reliability; however, the wireless communication transmission cannot guarantee constant transmission performance due to the influence of the transmission power limitation and various factors such as environment, climate, region and the like.
In the application process of the intelligent power grid, the environment is complex, the service bearing demands are various, the transmission reliability requirement is high, the existing power grid is poor in flexibility in application by singly adopting a communication method of broadband power line carrier communication or wireless communication, the communication performance is obviously reduced in certain special scenes and services, the construction requirement of the intelligent power grid can not be completely met, and the reliability and the stability of a communication system are poor.
Disclosure of Invention
The invention provides a self-adaptive selection method, a self-adaptive selection device and a storage medium of a data transmission channel based on dual-mode communication, which realize smooth switching of two communication modes of broadband power line carrier communication and wireless communication, are compatible with a single-mode communication scheme, and improve the reliability and the stability of a communication system.
The invention provides a self-adaptive selection method of a data transmission channel based on dual-mode communication, which comprises the following steps:
monitoring channel quality parameters of a data transmission channel among nodes in a dual-mode network in a current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels;
and responding to the triggering of the switching of the data transmission channels, and selecting the data transmission channel of the optimal communication mode for switching according to the estimated channel quality and channel quality parameters.
Further, before the channel quality of the data transmission channel is evaluated according to the channel quality parameter of the data transmission channel of the current communication mode monitored in real time, the method further comprises:
initializing the configuration of each communication mode in the dual-mode network, and identifying the current communication mode as a broadband carrier communication mode or a wireless communication mode by detecting the currently available communication interfaces or networks in the dual-mode network.
Further, according to the channel quality parameter of the data transmission channel of the current communication mode monitored in real time, the channel quality of the data transmission channel is evaluated, specifically:
Calculating a quality evaluation comprehensive result according to channel quality parameters of a data transmission channel of a current communication mode, wherein the channel quality parameters comprise: signal strength, signal-to-noise ratio, communication success rate, and network level;
the expression of the quality evaluation comprehensive result is as follows:
Q＝(W CSR *CSR)+W RSSI +W SNR +W LAYER *(15-LAYER)；
wherein Q is the channel quality evaluation comprehensive result, CSR is the communication success rate, W CSR For the weight coefficient of the success rate of communication, RSSI is the signal strength, SNR is the signal to noise ratio, W RSSI And W is SNR The weighting values of the signal intensity and the signal to noise ratio are respectively, LAYER is a network level, the maximum value of LAYER is 15, W LAYER The weight coefficient is the weight coefficient of the network level; the weight value of the signal intensity is valued according to the threshold value range of different signal intensities; and the weight value of the signal to noise ratio is valued according to the threshold range of different signal to noise ratios.
Further, after the node is accessed to the dual-mode network and when the communication success rate is not generated, the quality evaluation comprehensive result is calculated by the weight value of the signal strength and the signal-to-noise ratio;
the expression of the quality evaluation comprehensive result is as follows: q=w RSSI +W SNR 。
Further, the weight coefficient of the network layer level is valued according to the signal strength, the signal to noise ratio and the communication success rate, specifically:
After a node is accessed to a dual-mode network and when a communication success rate is not generated, the weight coefficient of the network level is valued according to different signal strengths and threshold ranges of signal to noise ratios;
after the node accesses the dual-mode network and when the communication success rate is generated, the weight coefficient of the network layer is valued by the threshold range according to different communication success rates.
Further, if the channel quality parameter meets a preset threshold condition, triggering the switching of the data transmission channel, specifically:
and triggering the switching of the data transmission channel when any channel quality parameter is lower than the corresponding threshold value and the delay or history record exceeds the preset threshold value.
Further, according to the estimated channel quality and channel quality parameters, the data transmission channel of the best communication mode is selected for switching, specifically:
inputting channel quality, channel quality parameters and delay count of a data transmission channel into a decision algorithm, confirming an optimal communication mode, and switching the data transmission channel to the optimal communication mode.
Further, after the data transmission channel of the optimal communication mode is selected for switching, the method further comprises:
and selecting the node with the highest priority as the proxy node according to the grade of the channel quality parameter.
Further, selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
if the signal strength level RSSI and the weight value W of the signal strength RSSI The correspondence is as follows:
wherein T is RSSI0 ，T RSSI1 ，T RSSI2 And T RSSI3 Respectively is a preset RSSI threshold value R 0 ，R 1 ，R 2 ，R 3 And R is 4 Respectively corresponding weight values of the signal strength level RSSI;
the first priority rule of the node is as follows:
the priority order for nodes of the same network hierarchy is: r is R 3 >R 2 >R 4 >R 1 >R 0 ；
For a first node with a network level smaller than that of other nodes by 1, if the weight value of the signal strength of the first node is R 3 、R 2 Or R is 4 The priority of the first node is smaller than that of the second node; the second node is a network level, and the maximum value of LAYER is 15 which is smaller than that of the first node; if the weight value of the signal strength of the first node is R 1 Or R is 0 The priority of the first node is smaller than that of the third node; the weight value of the third node for the signal intensity is R 3 、R 2 Or R is 4 Is a node of (a);
the weight value for the signal strength is R 1 When the signal strength of the fifth node is weighted by R 2 When the priority of the fourth node is higher than that of the fifth node; the fifth node is a node of 2 layers larger than the network layer of the fourth node; when the signal intensity of the sixth node is weighted by R 2 When the fourth node has a higher priority than the sixth nodeThe method comprises the steps of carrying out a first treatment on the surface of the The sixth node is a node 3 layers larger than the network level of the fourth node;
and when the communication success rate is not generated, acquiring the node with the highest priority by using the first priority rule as the proxy node.
Further, selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
if the communication success rate CSR and the weight coefficient W of the network level LAYER The correspondence is as follows:
wherein T is CSR0 ，T CSR1 And T CSR2 Respectively preset CSR threshold value, C 0 ，C 1 ，C 2 And C 3 Respectively corresponding CSR interval range identifiers, K 0 ，K 1 ，K 2 And K 3 For the corresponding W LAYER Taking a value;
the second priority rule of the node is as follows:
for nodes of the same network hierarchy, the priority of the node with higher communication success rate is higher than that of the node with lower communication success rate;
c for CSR interval Range 3 The priority of the node with the lower network level is higher than that of the node with the higher network level;
c for CSR interval Range 2 When there is a difference in communication success rate between the eighth node and the seventh node by a value less than a first threshold, the seventh node has a higher priority than the eighth node; the eighth node is a node 1 layer greater than the network level of the seventh node;
C for CSR interval Range 1 When there is a difference in communication success rate between the tenth node and the ninth node by a value less than a second threshold, the ninth node having a higher priority than the tenth node; the tenth node is smaller than the ninth nodeNodes with a network level of the nodes being 1 layer larger;
and when the communication success rate is generated, the node with the highest priority is obtained by using the second priority rule and is used as the proxy node.
As a preferred scheme, the channel quality is estimated by the channel quality comprehensive estimation algorithm based on important channel quality parameters such as the received signal strength RSSI, the signal-to-noise ratio SNR, the communication success rate CSR, the network level LAYER and the like. According to the analysis of channel quality parameters and channel quality, the invention adaptively selects the optimal communication mode according to network conditions and requirements, realizes smooth switching of two communication modes of broadband power line carrier communication and wireless communication, is compatible with a single-mode communication scheme, fully exerts respective advantages of carrier and wireless, improves the stability of hybrid network topology, and improves the reliability and stability of a communication system.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Correspondingly, the invention also provides a self-adaptive selection device of the data transmission channel based on the dual-mode communication, which comprises the following steps: the system comprises a dual-mode communication module, a channel quality evaluation module and a channel selection switching module.
The dual-mode communication module is used for communicating among the nodes by utilizing a broadband carrier communication mode or a wireless communication mode; the dual mode communication module includes: a broadband carrier communication module and a wireless communication module; the broadband carrier communication module transmits data through a voltage power line; the wireless communication module transmits data through the space electromagnetic wave.
The channel quality evaluation module is used for monitoring channel quality parameters of a data transmission channel among nodes in the dual-mode network in the current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels;
and the channel switching selection module is used for responding to the triggering of the switching of the data transmission channels and selecting the data transmission channel with the optimal communication mode for switching according to the estimated channel quality and the channel quality parameters.
Accordingly, the present invention also provides a computer-readable storage medium including a stored computer program; the computer program controls the device where the computer readable storage medium is located to execute the self-adaptive selection method of the data transmission channel based on dual-mode communication according to the invention when running.
Drawings
FIG. 1 is a schematic diagram of a dual-mode communication SOC system according to an embodiment of the method for adaptively selecting a data transmission channel based on dual-mode communication;
FIG. 2 is a block diagram of a wideband carrier communication physical layer architecture of a dual-mode communication SOC system of the adaptive selection method of a data transmission channel based on dual-mode communication provided by the invention;
FIG. 3 is a block diagram of a wireless communication physical layer architecture of a dual-mode communication SOC system of the adaptive selection method of a data transmission channel based on dual-mode communication provided by the invention;
fig. 4 is a schematic flow chart of an embodiment of a method for adaptively selecting a data transmission channel based on dual mode communication according to the present invention;
FIG. 5 is a schematic diagram of an embodiment of a dual-mode network model of a method for adaptively selecting a data transmission channel based on dual-mode communication according to the present invention;
Fig. 6 is a schematic structural diagram of an embodiment of an adaptive selection apparatus for a data transmission channel based on dual mode communication according to the present invention;
fig. 7 is a schematic structural diagram of another embodiment of a dual-mode network model of the method for adaptively selecting a data transmission channel based on dual-mode communication according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the dual mode communication SOC system includes: CPU Sub-system, security, MEM Controller (SEF & SPC), 2 XDMA, flash, 8 XTimer, 2 XWatchdog and rich peripheral interfaces (5 XUART, 2 XSPI, 2 XI 2C, 4 XPWM, QSPI and GPIO, etc.).
Wherein, the CPU Sub-system integrates a 32-bit ARM Cortex-M3 processor Core (32 bit MCU Core) and a 32-bit high-performance low-power consumption DSP processor Core (32 bit DSP Core); the dual-mode communication SOC system also integrates a flexible and reliable broadband carrier (HPLC) MAC and a high-speed wireless (HRF) MAC, an OFDM modulation demodulation-based HPLC PHY and an HRF PHY, a high-performance analog front end (HPLC AFE) and a high-performance low-power consumption RF TX/RX radio frequency front end (HRF transmitter), a complete national encryption algorithm, an international encryption algorithm security encryption and decryption module, and rich peripheral interfaces (UART, SPI, I2C, PWM, QSPI, GPIO and the like). To facilitate networking, the system also incorporates an ethernet interface (Ethermet).
A block diagram of a broadband carrier communication physical layer architecture of the dual-mode communication SOC system is shown in fig. 2. The HPLC transmitting side receives data from the data link layer, acquires frame control data and inputs the frame control data to the FC coding module, and acquires load data and inputs the load data to the load data coding module. The FC coding module sequentially performs Turbo coding, channel interleaving and diversity copying on the frame control data; the load data coding module sequentially carries out scrambling, turbo coding, channel interleaving and diversity copying on the load data; and sequentially performing constellation point mapping, IFFT, cyclic prefix and windowing on signals processed by the FC coding module and the load data coding module, adding a preamble input analog front end, processing the coded data by adopting an OFDM modulation mode, and transmitting the generated OFDM signals to a power line. After detecting signals from the power line, the HPLC receiving side carries out corresponding demodulation and decoding processing, sequentially carries out automatic gain control, clock/frame synchronization, FFT and demodulation processing, respectively inputs an FC decoding module and a load data decoding module, and respectively outputs frame control data and load data; the FC decoding module sequentially carries out diversity combination, channel de-interleaving and Turbo decoding on the acquired signals; the load data decoding module sequentially carries out diversity combination, channel de-interleaving, turbo decoding and descrambling on the acquired signals; and finally, restoring the carrier signal on the power line into decoded data information, and sending the decoded data information to a data link layer for subsequent protocol analysis.
A wireless communication physical layer architecture block diagram is shown in fig. 3. The HRF transmitting side inputs SIG domain information into an SIG encoding module to sequentially encode, fill symbols and scramble according to the block codes; the PHR data is input into a PHR coding module to be sequentially subjected to Turbo coding, punching, interleaving, decomposing and copying, the PSDU data is input into the PSDU coding module to be sequentially subjected to scrambling, turbo coding, punching, interleaving and diversity copying, finally, the processed SIG, PHR and PSDU are subjected to constellation point mapping, pilot carriers, direct Current (DC) carriers and Guard carriers (Guard Tones) are added, then, the conversion from a frequency domain to a time domain is completed through N-point IFFT, a preamble is added, a cyclic prefix is added, a window is added, DAC is performed, and the DAC is subjected to up-conversion and power amplification, and finally, the obtained result is transmitted through an antenna.
The received data of the HRF receiving side is subjected to LNA, down-conversion and filtering to obtain baseband data, synchronization is completed, frequency domain data is obtained through FFT conversion, channel estimation and frequency offset estimation are carried out by using the frequency domain data (short training sequence STF, long training sequence LTF and pilot frequency), and then data demodulation is carried out. The SIG domain is subjected to data combination, (36,3) block decoding, descrambling and decoding to obtain corresponding information, and PHR and PSDU are subjected to diversity combination, deinterleaving, depuncturing, turbo decoding, PSDU and descrambling to finally obtain the corresponding information.
The broadband carrier communication and the wireless communication have respective advantages and disadvantages, and the natural difference (the voltage power line transmission and the space electromagnetic wave transmission) of the two channels can be utilized, so that the physical layer can be automatically switched according to the quality condition of the respective channels, and the network layer can realize mixed routing, and the two are complementary, thereby improving the timeliness and the reliability of the communication to the greatest extent.
Referring to fig. 4, a method for adaptively selecting a data transmission channel based on dual-mode communication according to an embodiment of the present invention includes steps S101-S102:
step S101: monitoring channel quality parameters of a data transmission channel among nodes in a dual-mode network in a current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels;
in this embodiment, the dual-mode network model (dual-mode network) is a tree network composed of a wideband carrier and wireless, please refer to fig. 5, the dual-mode network model includes nodes 1-8, node 1 communicates with nodes 2-4, node 3 communicates with node 5, node 4 communicates with node 6, node 5 communicates with nodes 7 and 8, respectively, and the communication mode between the nodes uses the data transmission channels of the wideband carrier or the wireless communication mode.
Further, before the channel quality of the data transmission channel is evaluated according to the channel quality parameter of the data transmission channel of the current communication mode monitored in real time, the method further comprises:
initializing the configuration of each communication mode in the dual-mode network, and identifying the current communication mode as a broadband carrier communication mode or a wireless communication mode by detecting the currently available communication interfaces or networks in the dual-mode network.
Further, according to the channel quality parameter of the data transmission channel of the current communication mode monitored in real time, the channel quality of the data transmission channel is evaluated, specifically:
calculating a quality evaluation comprehensive result according to channel quality parameters of a data transmission channel of a current communication mode, wherein the channel quality parameters comprise: signal strength, signal-to-noise ratio, communication success rate, and network level;
the expression of the quality evaluation comprehensive result is as follows:
Q＝(W CSR *CSR)+W RSSI +W SNR +W LAYER *(15-LAYER)；
wherein Q is the channel quality evaluation comprehensive result, CSR is the communication success rate, W CSR For the weight coefficient of the success rate of communication, RSSI is the signal strength, SNR is the signal to noise ratio, W RSSI And W is SNR The weighting values of the signal intensity and the signal to noise ratio are respectively, LAYER is a network level, the maximum value of LAYER is 15, W LAYER The weight coefficient is the weight coefficient of the network level; the weight value of the signal intensity is valued according to the threshold value range of different signal intensities; and the weight value of the signal to noise ratio is valued according to the threshold range of different signal to noise ratios.
In this embodiment, the node may acquire parameters such as signal strength RSSI, signal-to-noise ratio SNR, communication success rate CSR, and network LAYER by listening to the neighbor node. These parameters are typically provided by the underlying physical layer and link layer protocols. The RSSI in the wireless channel is the most important channel estimation parameter, but the RSSI cannot be used as the only standard for channel estimation, for example, the RSSI is high, the noise or interference is also large, and the situation of low receiving and transmitting success rate can occur; the rate of the wireless channel determines that the RF discovery list transmission frequency (e.g., 5 transmissions for 1 routing period) is not as high as the carrier discovery list (10 transmissions for 1 routing period), and the communication success rate is much lower if the transmission fails once, so that the communication success rate alone cannot be used as the only standard for channel estimation. In addition, the node communication rate is insufficient in statistical duration at the initial stage of power-on and network access, and cannot be evaluated by using the communication success rate. Whereas the dual mode network is supported up to 15 layers in the maximum hierarchy based on latency and reliability considerations. Thus, the hierarchy is also an important factor in the selection of a channel. To ensure stability of the network topology, a proper hierarchy is required and cannot be too large.
In the present embodiment, W RSSI And W is SNR The weight values of the RSSI and the SNR are respectively classified according to the grades of the RSSI and the SNR, and the weight values corresponding to the corresponding grades are expressed as follows:
wherein T is RSSI0 ，T RSSI1 ，T RSSI2 And T RSSI3 For a preset RSSI threshold, R 0 ，R 1 ，R 2 ，R 3 And R is 4 And (5) taking a value for the corresponding RSSI weight. T (T) SNR0 ，T SNR1 ，T SNR2 And T SNR3 For a preset SNR threshold, S 0 ，S 1 ，S 2 ，S 3 And S is 4 And takes a value for the corresponding SNR weight.
In the present embodiment, T is preferable for the wideband carrier RSSI0 ＝-25，T RSSI1 ＝-10，T RSSI2 ＝0，T RSSI3 =20; for wireless communications, T may be taken RSSI0 ＝-110，T RSSI1 ＝-90，T RSSI2 ＝-70，T RSSI3 -50. Specifically, in two communication modes, the RSSI weight value mapping table of the wideband carrier is:
the wireless RSSI weight value mapping table is:
in this embodiment, the SNR class division threshold may be T for wideband carriers and radios SNR0 ＝-5，T SNR1 ＝0，T SNR2 ＝5，T SNR3 =15, specifically, the wideband carrier and wireless SNR weight value mapping table is:
further, after the node is accessed to the dual-mode network and when the communication success rate is not generated, the quality evaluation comprehensive result is calculated by the weight value of the signal strength and the signal-to-noise ratio;
the expression of the quality evaluation comprehensive result is as follows: q=w RSSI +W SNR 。
In this embodiment, if the node is in the network access stage, for example, the routing period is less than 3, the statistical duration of the communication rate is insufficient, and the channel quality is mainly estimated according to the RSSI and the SNR; the nodes are connected to the network and run for a sufficient period of time, for example, the routing period is more than or equal to 3, and the channel quality can be estimated by comprehensively evaluating according to RSSI, SNR, CSR, LAYER and other parameters. Q is the comprehensive result of channel quality evaluation, and the larger the value is, the better the channel quality is. CSR is communication success rate, its value is true value, its value range is [0,100], it is calculated by up-going communication success rate multiplied by down-going communication success rate.
Further, the weight coefficient of the network layer level is valued according to the signal strength, the signal to noise ratio and the communication success rate, specifically:
after a node is accessed to a dual-mode network and when a communication success rate is not generated, the weight coefficient of the network level is valued according to different signal strengths and threshold ranges of signal to noise ratios;
after the node accesses the dual-mode network and when the communication success rate is generated, the weight coefficient of the network layer is valued by the threshold range according to different communication success rates.
In the present embodiment, when there is no communication success rate, W LAYER Is determined by RSSI and SNR; otherwise, W LAYER The value of (2) is determined by the communication success rate CSR.
Wherein if the real communication success rate is not yet available, W LAYER The value of (1) is determined by RSSI and SNR: i.e. when RSSI is greater than T RSSI And SNR is greater than T SNR At the time W LAYER Take the value K max The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, W LAYER Take the value K min 。T RSSI And T SNR The RSSI and SNR thresholds are respectively preset; k (K) max And K min Is a preset level weight coefficient W LAYER Is a value of (a). In the present embodiment, W LAYER Take the value K max ＝10；W LAYER Take the value K min ＝9；T RSSI -15/-95 (wideband carrier/radio), T SNR ＝0。
If the real communication success rate is available, W LAYER The value of (2) is determined by CSR:
wherein T is CSR0 ，T CSR1 And T CSR2 Is a preset CSR threshold value, C 0 ，C 1 ，C 2 And C 3 K is the corresponding CSR interval range mark 0 ，K 1 ，K 2 And K 3 For the corresponding W LAYER And (5) taking a value. In the present embodiment, T CSR0 ，T CSR1 And T CSR2 The values are 40, 60 and 80 in sequence.
Further, if the channel quality parameter meets a preset threshold condition, triggering the switching of the data transmission channel, specifically:
and triggering the switching of the data transmission channel when any channel quality parameter is lower than the corresponding threshold value and the delay or history record exceeds the preset threshold value.
In this embodiment, a set of thresholds are set, which are thresholds based on signal quality parameters, and trigger a data transmission channel switch if the received signal strength drops below a certain level, or the signal-to-noise ratio drops to an unacceptable level, or the communication success rate drops to a certain level.
Illustratively, a set of thresholds T is set RSSI_min ，T SNR_min And T CSR_min These thresholds are thresholds based on signal quality parameters RSSI, SNR and communication success rate CSR, respectively, if RSSI is less than T RSSI_min Or SNR is less than T SNR_min Or the communication success rate CSR is smaller than T CSR_min Then the communication channel is ready to be switched. Here, T RSSI_min ，T SNR_min And T CSR_min Can respectively take the value T RSSI_min -15/-95 (wideband carrier/radio), T SNR_min = -5 and T CSR_min ＝40；
Introducing a delay or history of handover, e.g. setting a counter, for a certain number T of consecutive observations only when the signal quality parameter is below a threshold timer The switch is triggered afterwards to ensure that the switch only happens when it is really needed, avoiding frequent switching modes to reduce communication interruption and interference, where the value is T timer ＝3。
Step S102: and responding to the triggering of the switching of the data transmission channels, and selecting the data transmission channel of the optimal communication mode for switching according to the estimated channel quality and channel quality parameters.
Further, according to the estimated channel quality and channel quality parameters, the data transmission channel of the best communication mode is selected for switching, specifically:
inputting channel quality, channel quality parameters and delay count of a data transmission channel into a decision algorithm, confirming an optimal communication mode, and switching the data transmission channel to the optimal communication mode.
Further, after the data transmission channel of the optimal communication mode is selected for switching, the method further comprises:
and selecting the node with the highest priority as the proxy node according to the grade of the channel quality parameter.
Further, selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
if the signal strength level RSSI and the weight value W of the signal strength RSSI The correspondence is as follows:
wherein T is RSSI0 ，T RSSI1 ，T RSSI2 And T RSSI3 Respectively is a preset RSSI threshold value R 0 ，R 1 ，R 2 ，R 3 And R is 4 Respectively corresponding weight values of the signal strength level RSSI;
the first priority rule of the node is as follows:
the priority order for nodes of the same network hierarchy is: r is R 3 >R 2 >R 4 >R 1 >R 0 ；
For a first node with a network level smaller than that of other nodes by 1, if the weight value of the signal strength of the first node is R 3 、R 2 Or R is 4 The priority of the first node is smaller than that of the second node; the second node is a network level, and the maximum value of LAYER is 15 which is smaller than that of the first node; if the weight value of the signal strength of the first node is R 1 Or R is 0 The priority of the first node is smaller than that of the third node; the weight value of the third node for the signal intensity is R 3 、R 2 Or R is 4 Is a node of (a);
the weight value for the signal strength is R 1 When the signal strength of the fifth node is weighted by R 2 When the priority of the fourth node is higher than that of the fifth node; the fifth node is a node of 2 layers larger than the network layer of the fourth node; when the signal intensity of the sixth node is weighted by R 2 When the priority of the fourth node is higher than that of the sixth node; the sixth node is a node 3 layers larger than the network level of the fourth node;
And when the communication success rate is not generated, acquiring the node with the highest priority by using the first priority rule as the proxy node.
Further, selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
if the communication success rate CSR and the weight coefficient W of the network level LAYER The correspondence is as follows:
wherein T is CSR0 ，T CSR1 And T CSR2 Respectively preset CSR threshold value, C 0 ，C 1 ，C 2 And C 3 Respectively corresponding CSR interval range identifiers, K 0 ，K 1 ，K 2 And K 3 For the corresponding W LAYER Taking a value;
the second priority rule of the node is as follows:
for nodes of the same network hierarchy, the priority of the node with higher communication success rate is higher than that of the node with lower communication success rate;
c for CSR interval Range 3 The priority of the node with the lower network level is higher than that of the node with the higher network level;
c for CSR interval Range 2 When there is a difference in communication success rate between the eighth node and the seventh node by a value less than a first threshold, the seventh node has a higher priority than the eighth node; the eighth node is a node 1 layer greater than the network level of the seventh node;
c for CSR interval Range 1 When there is a difference in communication success rate between the tenth node and the ninth node by a value less than a second threshold, the ninth node having a higher priority than the tenth node; the tenth node is a node of layer 1 greater than the network level of the ninth node;
and when the communication success rate is generated, the node with the highest priority is obtained by using the second priority rule and is used as the proxy node.
In the present embodiment, the communication success rate and the hierarchical weight coefficient W LAYER The corresponding relation is as follows:
| success rate interval identification | Success rate of communication | Weight coefficient W LAYER |
| C 0 | CSR<40 | 0 |
| C 1 | 40≤CSR<60 | 145 |
| C 2 | 60≤CSR<80 | 165 |
| C 3 | 80≤CSR≤100 | 175 |
In this embodiment, when there is an effective communication success rate, the success rate and level should occupy absolute dominant factors, and the influence of SNR and RSSI should be reduced, so the channel quality evaluation comprehensive result Q value is calculated when there is a communication success rate, and the influence of the communication success rate and level can be amplified by W CSR The effect of SNR and RSSI is small enough, and only when the communication success rate is very similar in the same hierarchy, some effects are played to prefer a node with appropriate SNR and RSSI as a proxy node.
Communication success rate CSR and hierarchical weight coefficient W LAYER The corresponding principle of (2) is as follows:
when the levels are equal, nodes with high communication success rate are preferable;
Reliable in communication success rate(C 3 Success rate in interval is greater than T CSR2 =80), nodes with smaller levels should be preferred. Unless it is two extreme, i.e. one neighbor node success rate is T CSR2 Another neighbor node has a success rate close to 100%, and a neighbor node with a higher communication success rate should be preferred.
At C 2 Nodes in, when the hierarchy ratio is at C 3 When the node in the node is smaller than the node in the node layer 1, the communication success rate of the node is different by T CSR Nodes with lower levels should be preferred. Here, T CSR For the preset CSR threshold, the value is T CSR ＝10。
At C 1 Nodes in, when the hierarchy is at C 2 When the node in the node is 2 layers smaller, the success rate is different by T CSR Nodes with lower levels should be preferred.
At C 0 The nodes in the network are unstable in communication, only the success rate is considered, the communication is guaranteed to be normal preferentially, and the hierarchy is not considered.
In this embodiment, channel quality parameters of data transmission channels between nodes in a dual-mode network in a current communication mode are monitored and adjusted in real time, that is, changes of a communication environment are continuously monitored, and the communication mode is adjusted as required. On the one hand, the system needs to monitor the switching effect to ensure that the performance is improved or maintained. If the switch results in a performance degradation, the system may switch back to the original channel again or attempt other channels; on the other hand, the system should continuously monitor the signal quality and continuously optimize the selected communication mode according to the environmental changes.
It should be noted that carrier single-mode module nodes and dual-mode module nodes are typically present in the dual-mode network model at the same time. In addition, due to noise, environment, climate, etc., only one link mode of the dual-mode module node may normally communicate. Referring to fig. 6, another dual-mode network model is provided, which includes nodes 1-8, node 1 communicates with nodes 2-4, node 3 communicates with node 5, node 4 communicates with node 6, and node 5 communicates with nodes 7 and 8, respectively, wherein node 1 and node 2 can communicate using data transmission channels in two modes of broadband carrier or wireless communication, node 3 and node 8 are carrier nodes, and communication with other nodes can only use data transmission channels in broadband carrier mode. The dual mode node 5 and the dual mode node 7 cannot communicate by wireless links, and therefore can only communicate by using the data transmission channel of the broadband carrier mode. Since the broadband power line carrier cannot communicate between the node 1 and the node 4 and between the node 4 and the node 6, communication can only be performed by using the data transmission channel in the wireless link mode.
In dual mode systems, the central node is typically dual mode and the slave nodes may be single carrier, single radio or dual mode nodes. When networking, the central node module is powered on, after interception and coordination, the HPLC beacon frame is sent on a carrier channel, and meanwhile, an idle wireless channel is selected to send the HRF beacon frame. The dual-mode slave node firstly monitors a carrier channel to acquire the carrier channel quality of surrounding nodes, namely, a channel quality evaluation comprehensive result Q is calculated according to the information such as the signal strength RSSI, the signal-to-noise ratio SNR, the communication success rate CSR, the level LAYER and the like of neighbor nodes, and a proper node is selected as an agent node; if the beacon frame is not detected on the carrier channel, the beacon frame is detected on each wireless channel in sequence, network access with stronger RSSI is selected, and parameters such as signal strength RSSI, signal-to-noise ratio SNR, communication success rate CSR, level LAYER and the like of the neighbor nodes are obtained in the wireless channel detection process. Similarly, the channel quality evaluation comprehensive result Q can be calculated based on the parameters, so that the proxy node with good signal quality, proper level and high communication success rate can be selected. The single-mode slave node only performs networking actions on the single-mode channel.
The double-mode fusion communication optimization method provided by the invention can be well compatible with a single-mode communication scheme, on one hand, single-point replacement in the existing power network is realized, large-scale whole-network replacement is avoided, and updating and upgrading costs are saved; on the other hand, the seamless link of the hybrid network can be realized, and the stability of the network topology is ensured.
The implementation of the embodiment of the invention has the following effects:
the invention evaluates the channel quality through a reasonable weight mapping method based on the important channel quality parameters such as the received signal strength RSSI, the signal-to-noise ratio SNR, the communication success rate CSR, the network LAYER LAYER and the like. According to the analysis of channel quality parameters and channel quality, the invention adaptively selects the optimal communication mode according to network conditions and requirements, realizes smooth switching of two communication modes of broadband power line carrier communication and wireless communication, is compatible with a single-mode communication scheme, fully exerts respective advantages of carrier and wireless, improves the stability of hybrid network topology, and improves the reliability and stability of a communication system.
Example two
Referring to fig. 7, an adaptive selection apparatus for a data transmission channel based on dual-mode communication according to an embodiment of the present invention includes: a dual mode communication module 201, a channel quality assessment module 202 and a channel selection switch module 203.
The dual-mode communication module 201 is configured to perform communication between nodes using a broadband carrier communication mode or a wireless communication mode; the dual mode communication module includes: a broadband carrier communication module and a wireless communication module; the broadband carrier communication module transmits data through a voltage power line; the wireless communication module transmits data through the space electromagnetic wave.
The channel quality evaluation module 202 is configured to monitor channel quality parameters of a data transmission channel between nodes in the dual-mode network in a current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels;
the channel switching selection module 203 is configured to respond to a trigger of switching the data transmission channel, and select the data transmission channel in the best communication mode for switching according to the estimated channel quality and the channel quality parameter.
Further, the channel quality assessment module includes: the device comprises an identification unit, an evaluation unit and a triggering unit;
the identifying unit is used for initializing the configuration of each communication mode in the dual-mode network, and identifying the current communication mode as a broadband carrier communication mode or a wireless communication mode by detecting the currently available communication interfaces or networks in the dual-mode network.
The evaluation unit is used for calculating a quality evaluation comprehensive result according to the channel quality parameters of the data transmission channel of the current communication mode, wherein the channel quality parameters comprise: signal strength, signal-to-noise ratio, communication success rate, and network level;
the expression of the quality evaluation comprehensive result is as follows:
Q＝(W CSR *CSR)+W RSSI +W SNR +W LAYER *(15-LAYER)；
wherein Q is the channel quality evaluation comprehensive result, CSR is the communication success rate, W CSR For the weight coefficient of the success rate of communication, RSSI is the signal strength, SNR is the signal to noise ratio, W RSSI And W is SNR The weighting values of the signal intensity and the signal to noise ratio are respectively, LAYER is a network level, the maximum value of LAYER is 15, W LAYER The weight coefficient is the weight coefficient of the network level; the weight value of the signal intensity is valued according to the threshold value range of different signal intensities; and the weight value of the signal to noise ratio is valued according to the threshold range of different signal to noise ratios.
Further, after the node is accessed to the dual-mode network and when the communication success rate is not generated, the quality evaluation comprehensive result is calculated by the weight value of the signal strength and the signal-to-noise ratio;
the expression of the quality evaluation comprehensive result is as follows: q=w RSSI +W SNR 。
Further, the weight coefficient of the network layer level is valued according to the signal strength, the signal to noise ratio and the communication success rate, specifically:
After a node is accessed to a dual-mode network and when a communication success rate is not generated, the weight coefficient of the network level is valued according to different signal strengths and threshold ranges of signal to noise ratios;
after the node accesses the dual-mode network and when the communication success rate is generated, the weight coefficient of the network layer is valued by the threshold range according to different communication success rates.
The triggering unit is used for triggering the switching of the data transmission channel when any channel quality parameter is lower than the corresponding threshold value and the delay or history record exceeds the preset threshold value.
The channel switching selection module includes: a switching unit and a node selection unit;
the switching unit is used for inputting the channel quality, the channel quality parameter and the delay count of the data transmission channel into a decision algorithm, confirming the optimal communication mode and switching the data transmission channel into the optimal communication mode.
The node selecting unit is used for selecting the node with the highest priority as the proxy node according to the grade of the channel quality parameter.
If the signal strength level RSSI and the weight value W of the signal strength RSSI The correspondence is as follows:
wherein T is RSSI0 ，T RSSI1 ，T RSSI2 And T RSSI3 Respectively is a preset RSSI threshold value R 0 ，R 1 ，R 2 ，R 3 And R is 4 Respectively corresponding weight values of the signal strength level RSSI;
The first priority rule of the node is as follows:
the priority order for nodes of the same network hierarchy is: r is R 3 >R 2 >R 4 >R 1 >R 0 ；
For a first node with a network level smaller than that of other nodes by 1, if the weight value of the signal strength of the first node is R 3 、R 2 Or R is 4 The priority of the first node is smaller than that of the second node; the second node is a network level, and the maximum value of LAYER is 15 which is smaller than that of the first node; if the weight value of the signal strength of the first node is R 1 Or R is 0 The priority of the first node is smaller than that of the third node; the weight value of the third node for the signal intensity is R 3 、R 2 Or R is 4 Is a node of (a);
the weight value for the signal strength is R 1 When the signal strength of the fifth node is weighted by R 2 When the priority of the fourth node is higher than that of the fifth node; the fifth node is a node of 2 layers larger than the network layer of the fourth node; when the signal intensity of the sixth node is weighted by R 2 When the priority of the fourth node is higher than that of the sixth node; the sixth node is a node 3 layers larger than the network level of the fourth node;
and when the communication success rate is not generated, acquiring the node with the highest priority by using the first priority rule as the proxy node.
If the communication success rate CSR and the weight coefficient W of the network level LAYER The correspondence is as follows:
wherein T is CSR0 ，T CSR1 And T CSR2 Respectively preset CSR threshold value, C 0 ，C 1 ，C 2 And C 3 Respectively corresponding CSR interval range identifiers, K 0 ，K 1 ，K 2 And K 3 For the corresponding W LAYER Taking a value;
the second priority rule of the node is as follows:
for nodes of the same network hierarchy, the priority of the node with higher communication success rate is higher than that of the node with lower communication success rate;
c for CSR interval Range 3 The priority of the node with the lower network level is higher than that of the node with the higher network level;
c for CSR interval Range 2 When there is a difference in communication success rate between the eighth node and the seventh node by a value less than a first threshold, the seventh node has a higher priority than the eighth node; the eighth node is 1 layer larger than the network layer of the seventh nodeA node;
c for CSR interval Range 1 When there is a difference in communication success rate between the tenth node and the ninth node by a value less than a second threshold, the ninth node having a higher priority than the tenth node; the tenth node is a node of layer 1 greater than the network level of the ninth node;
And when the communication success rate is generated, the node with the highest priority is obtained by using the second priority rule and is used as the proxy node.
The adaptive selection device of the data transmission channel based on dual-mode communication can implement the adaptive selection method of the data transmission channel based on dual-mode communication in the method embodiment. The options in the method embodiments described above are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the content of the method embodiments described above, and in this embodiment, no further description is given.
Example III
Correspondingly, the invention further provides a computer readable storage medium, which comprises a stored computer program, wherein the computer program controls the equipment where the computer readable storage medium is located to execute the adaptive selection method of the data transmission channel based on dual-mode communication according to any embodiment.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device.
The terminal equipment can be computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the terminal device by running or executing the computer program and/or the module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile terminal, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the terminal device integrated modules/units may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. An adaptive selection method of a data transmission channel based on dual mode communication, comprising:
monitoring channel quality parameters of a data transmission channel among nodes in a dual-mode network in a current communication mode in real time; according to the channel quality parameters, evaluating the channel quality of the data transmission channels among the nodes; if the channel quality parameter of any one of the data transmission channels meets a preset threshold condition, triggering the switching of the data transmission channels;
and responding to the triggering of the switching of the data transmission channels, and selecting the data transmission channel of the optimal communication mode for switching according to the estimated channel quality and channel quality parameters.
2. The adaptive selection method of a data transmission channel based on dual-mode communication as set forth in claim 1, wherein before the channel quality of the data transmission channel is evaluated according to the channel quality parameter of the data transmission channel of the current communication mode monitored in real time, further comprising:
Initializing the configuration of each communication mode in the dual-mode network, and identifying the current communication mode as a broadband carrier communication mode or a wireless communication mode by detecting the currently available communication interfaces or networks in the dual-mode network.
3. The adaptive selection method of a data transmission channel based on dual-mode communication as set forth in claim 1, wherein the channel quality evaluation is performed on the data transmission channel according to a channel quality parameter of a data transmission channel of a current communication mode monitored in real time, specifically:
calculating a quality evaluation comprehensive result according to channel quality parameters of a data transmission channel of a current communication mode, wherein the channel quality parameters comprise: signal strength, signal-to-noise ratio, communication success rate, and network level;
the expression of the quality evaluation comprehensive result is as follows:
Q＝(W CSR *CSR)+W RSSI +W SNR +W LAYER *(15-LAYER)；
wherein Q is the channel quality evaluation comprehensive result, CSR is the communication success rate, W CSR For the weight coefficient of the success rate of communication, RSSI is the signal strength, SNR is the signal to noise ratio, W RSSI And W is SNR The weighting values of the signal intensity and the signal to noise ratio are respectively, LAYER is a network level, the maximum value of LAYER is 15, W LAYER The weight coefficient is the weight coefficient of the network level; the weight value of the signal intensity is valued according to the threshold value range of different signal intensities; and the weight value of the signal to noise ratio is valued according to the threshold range of different signal to noise ratios.
4. The adaptive selection method of a data transmission channel based on dual mode communication as claimed in claim 3, further comprising:
after the node is accessed to the dual-mode network and when the communication success rate is not generated, the quality evaluation comprehensive result is calculated by the weight value of the signal strength and the signal-to-noise ratio;
the expression of the quality evaluation comprehensive result is as follows: q=w RSSI +W SNR 。
5. The adaptive selection method of a data transmission channel based on dual-mode communication as claimed in claim 3, wherein the weight coefficient of the network layer is valued according to signal strength, signal-to-noise ratio and communication success rate, specifically:
after a node is accessed to a dual-mode network and when a communication success rate is not generated, the weight coefficient of the network level is valued according to different signal strengths and threshold ranges of signal to noise ratios;
after the node accesses the dual-mode network and when the communication success rate is generated, the weight coefficient of the network layer is valued by the threshold range according to different communication success rates.
6. The method for adaptively selecting a data transmission channel based on dual-mode communication as set forth in claim 1, wherein said triggering a data transmission channel switch if said channel quality parameter satisfies a preset threshold condition is specifically:
And triggering the switching of the data transmission channel when any channel quality parameter is lower than the corresponding threshold value and the delay or history record exceeds the preset threshold value.
7. The adaptive selection method of data transmission channels based on dual-mode communication as claimed in claim 3, wherein the selecting the data transmission channel of the best communication mode for switching according to the estimated channel quality and channel quality parameters comprises:
inputting channel quality, channel quality parameters and delay count of a data transmission channel into a decision algorithm, confirming an optimal communication mode, and switching the data transmission channel to the optimal communication mode.
8. The adaptive selection method of data transmission channels based on dual mode communication as claimed in claim 7, wherein after the data transmission channels for selecting the best communication mode are switched, further comprising:
and selecting the node with the highest priority as the proxy node according to the grade of the channel quality parameter.
9. The adaptive selection method of a data transmission channel based on dual mode communication as claimed in claim 8, wherein the selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
If the signal strength level RSSI and the weight value W of the signal strength RSSI The correspondence is as follows:
wherein T is RSSI0 ，T RSSI1 ，T RSSI2 And T RSSI3 Respectively is a preset RSSI threshold value R 0 ，R 1 ，R 2 ，R 3 And R is 4 Respectively corresponding weight values of the signal strength level RSSI;
the first priority rule of the node is as follows:
the priority order for nodes of the same network hierarchy is: r is R 3 >R 2 >R 4 >R 1 >R 0 ；
For a first node with a network level smaller than that of other nodes by 1, if the weight value of the signal strength of the first node is R 3 、R 2 Or R is 4 The priority of the first node is smaller than that of the second node; the second node is a network level, and the maximum value of LAYER is 15 which is smaller than that of the first node; if the weight value of the signal strength of the first node is R 1 Or R is 0 The priority of the first node is smaller than that of the third node; the weight value of the third node for the signal intensity is R 3 、R 2 Or R is 4 Is a node of (a);
the weight value for the signal strength is R 1 When the signal strength of the fifth node is weighted as the weight valueR 2 When the priority of the fourth node is higher than that of the fifth node; the fifth node is a node of 2 layers larger than the network layer of the fourth node; when the signal intensity of the sixth node is weighted by R 2 When the priority of the fourth node is higher than that of the sixth node; the sixth node is a node 3 layers larger than the network level of the fourth node;
and when the communication success rate is not generated, acquiring the node with the highest priority by using the first priority rule as the proxy node.
10. The adaptive selection method of a data transmission channel based on dual mode communication as claimed in claim 8, wherein the selecting the node with the highest priority as the proxy node according to the level of the channel quality parameter comprises:
if the communication success rate CSR and the weight coefficient W of the network level LAYER The correspondence is as follows:
wherein T is CSR0 ，T CSR1 And T CSR2 Respectively preset CSR threshold value, C 0 ，C 1 ，C 2 And C 3 Respectively corresponding CSR interval range identifiers, K 0 ，K 1 ，K 2 And K 3 For the corresponding W LAYER Taking a value;
the second priority rule of the node is as follows:
for nodes of the same network hierarchy, the priority of the node with higher communication success rate is higher than that of the node with lower communication success rate;
c for CSR interval Range 3 The priority of the node with the lower network level is higher than that of the node with the higher network level;
c for CSR interval Range 2 When there is a difference value of the communication success rate of the eighth node with the seventh node being smaller than the seventh node When the threshold value is set, the seventh node has a higher priority than the eighth node; the eighth node is a node 1 layer greater than the network level of the seventh node;
c for CSR interval Range 1 When there is a difference in communication success rate between the tenth node and the ninth node by a value less than a second threshold, the ninth node having a higher priority than the tenth node; the tenth node is a node of layer 1 greater than the network level of the ninth node;
and when the communication success rate is generated, the node with the highest priority is obtained by using the second priority rule and is used as the proxy node.
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