Data exchange method and system for low-frequency-band wireless networking

Abstract

The invention discloses a data exchange method and system for low-frequency-band wireless networking, particularly relates to the technical field of wireless networking communication, and is used for solving the problem that the data exchange efficiency of the low-frequency-band wireless networking is low. Information correction is carried out by selecting the optimal transmission path and combining feedback of the adjacent nodes, the stability and accuracy of data transmission are improved, the nodes evaluate the information state according to the information receiving quality and the environment change and select a proper correction strategy, and in the path transmission process, real-time error evaluation is used for calculating the error metric of each path, so that the accuracy of data transmission is improved. And according to the selected correction strategy, in combination with a forward error correction and automatic retransmission mechanism, error control is performed when the path quality becomes poor, and the path and the correction strategy are dynamically adjusted in low-frequency-band wireless networking, so that the fault-tolerant capability and the robustness of the network are improved, and transmission errors caused by signal attenuation or interference are effectively reduced. The reliability of data transmission is enhanced, the system adapts to a complex wireless environment, and the risk of information loss and misinformation transmission is reduced.

Description

Technical Field

[0001] The present invention relates to the field of wireless networking communication technology, and more specifically, to a data exchange method and system for low-frequency wireless networking. Background Art

[0002] The data exchange technology of wireless networking is an indispensable part of modern communication networks. It is widely used in the fields of Internet of Things (IoT), industrial control, smart home, traffic management, drone communication, etc. The data exchange of wireless networking refers to the process of data transmission and interaction between multiple nodes through wireless communication. The nodes in wireless networking can be fixed (such as sensors, base stations) or mobile (such as drones, vehicles, smart terminals).

[0003] Deficiencies in existing technologies: In low-frequency wireless self-organizing networks, the accuracy of information synthesis has long been an important factor restricting the improvement of network performance. When facing a complex and dynamically changing network environment, information transmission and synthesis are often affected by multiple problems such as interference, noise, signal attenuation and data loss, resulting in inaccurate synthesized information, which in turn has a negative impact on the performance of the entire network. Especially in low-frequency networks, the propagation characteristics of signals make communication between nodes more susceptible to interference from external factors, thereby increasing the uncertainty and errors of information transmission, resulting in local information synthesis that is not only prone to distortion, but may also lead to incorrect identification of network topology, deviations in routing selection, and inefficient data exchange, seriously affecting the real-time, stability and reliability of the network. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a data exchange method and system for low-frequency wireless networking to solve the problem of low efficiency of data exchange in low-frequency wireless networking in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A data exchange method for low-frequency wireless networking, comprising the following steps: Obtain low-frequency wireless networking nodes, evaluate paths when nodes transmit information, select the optimal path for information transmission, and modify information based on feedback from neighboring nodes during the information transmission process; The node evaluates the information status according to the quality of information reception and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy to make information corrections based on the quality score of the information; Through real-time error evaluation, the error metric of each transmission path is calculated, and a correction strategy is selected based on the error metric. Through forward error correction and automatic retransmission mechanisms, error control is performed when the path quality deteriorates.

[0006] In a preferred embodiment, a low-frequency wireless networking node is obtained, and when the node transmits information, the path is evaluated to select the optimal path for information transmission, and information is corrected according to feedback from neighboring nodes during the information transmission process. The specific process is as follows: Evaluate the path that each node takes to reach the target node when transmitting information, and select the path with the best signal quality based on signal attenuation, path obstruction, and surrounding interference sources; The quality of the path is determined by the path gain function, which is calculated by the distance between nodes, signal attenuation rate, and interference strength. The signal strength of each path between nodes is calculated, and the path with the largest signal strength is selected for information transmission; Each node will make preliminary corrections based on the information received locally. When correcting information, each node makes local corrections based on the original signal received and the correction information of neighboring nodes; After the information is corrected, the node synchronizes the corrected information to neighboring nodes through the feedback mechanism.

[0007] In a preferred implementation, the node evaluates the information status according to the information reception quality and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy to make information corrections according to the quality score of the information. The specific process is as follows: Perform information reception quality assessment. When each node receives information, it assesses the status of the information based on its own reception quality. The information status is assessed based on the node's signal strength, received bit error rate, and delay index. Conduct local environment monitoring. Nodes monitor changes in the local environment. Changes in the local environment include node movement, fluctuations in environmental noise, and signal interference from neighboring nodes. The information correction method is dynamically adjusted based on the quality of the information received by the node and the local environment of the neighboring nodes.

[0008] In a preferred embodiment, the information correction is based on the node receiving information quality and the local environment of the neighboring nodes to dynamically adjust the correction method. The specific process is as follows: Conduct quality assessment on received information before making any corrections; Perform signal strength measurement. Signal strength indicates the strength of the signal received by a node from another node. The node calculates the received signal strength by the radio frequency energy of the received signal. The bit error rate is measured. The bit error rate indicates the proportion of error bits in the information received by the node. The node performs CRC check on the received data packets and calculates the proportion of error data as the bit error rate. Transmission delay measurement. Transmission delay refers to the transmission delay of information from the source node to the target node. The node records the sending timestamp and receiving timestamp of the data packet and calculates the actual delay time as the transmission delay. According to the signal strength, bit error rate, and transmission delay indicators, the information quality is scored, and the information quality score is calculated and output: ,in, , , are weight factors, which respectively represent the influence of signal strength, bit error rate and delay on the quality score; is the signal strength, is the transmission delay, is the bit error rate; Based on the information quality score, the degree of error in the data is determined, and a correction strategy is selected to correct the information.

[0009] In a preferred embodiment, the degree of error of the data is determined based on the information quality score, and a correction strategy is selected to correct the information. The specific process is as follows: According to the scoring range of information quality score, the error level is divided and set is the high quality threshold, For low quality threshold: when When , the information quality is good and no correction is needed; when When , the information quality is average, and a light correction is performed; when When the information is of poor quality, it needs to be strongly corrected.

[0010] In a preferred embodiment, the error metric of each transmission path is calculated through real-time error evaluation, and a correction strategy is selected according to the error metric. Error control is performed when the path quality deteriorates through forward error correction and automatic retransmission mechanisms. The specific process is as follows: The error metric of the path is determined based on the signal attenuation, noise interference and multipath effect on the path; The error metric on each path is calculated in real time during each data transmission process, and it is determined whether the data needs to be corrected or the transmission path needs to be adjusted based on the error metric; The error control strategy is selected based on the error metric and signal-to-noise ratio of each path. The strategies include forward error correction and automatic retransmission request.

[0011] A data exchange system for low-frequency wireless networking, used to implement the above-mentioned data exchange method for low-frequency wireless networking, comprising: The information transmission module is used to obtain the nodes of the low-frequency wireless network, evaluate the path when the node transmits information, select the optimal path for information transmission, and correct the information according to the feedback of the neighboring nodes during the information transmission process; Dynamic characterization module, which is used by nodes to evaluate the information status according to the quality of information reception and environmental changes, determine whether to make corrections, and select lightweight or strong correction strategies for information correction based on the quality score of the information; The transmission error metric module is used to calculate the error metric of each transmission path and select a correction strategy based on the error metric. It controls the error when the path quality deteriorates through forward error correction and automatic retransmission mechanisms.

[0012] Technical effects and advantages of the present invention: The present invention improves the stability and reliability of information transmission by selecting the optimal transmission path between nodes and correcting information in combination with feedback from neighboring nodes. During the information transmission process, the node evaluates the information status according to the reception quality and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy according to the quality score to ensure the accuracy of the data. Through real-time error evaluation, the error metric of each path is calculated, and a suitable correction strategy is selected based on the error metric. In combination with forward error correction and automatic retransmission mechanisms, error control is performed in a timely manner when the path quality deteriorates, effectively reducing transmission errors caused by signal attenuation or interference. In low-frequency wireless networks, especially in complex environments, the transmission path and correction strategy can be dynamically adjusted to enhance the fault tolerance and robustness of the network, and improve the quality and reliability of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The present invention is a flow chart of a data exchange method for low-frequency wireless networking.

[0014] Figure 2 The present invention is a structural schematic diagram of a data exchange system for low-frequency wireless networking. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Example 1: Figure 1 As shown, a data exchange method for low-frequency wireless networking includes the following steps: Obtain low-frequency wireless networking nodes, evaluate paths when nodes transmit information, select the optimal path for information transmission, and modify information based on feedback from neighboring nodes during the information transmission process; The node evaluates the information status according to the quality of information reception and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy to make information corrections based on the quality score of the information; Through real-time error evaluation, the error metric of each transmission path is calculated, and a correction strategy is selected based on the error metric. Through forward error correction and automatic retransmission mechanisms, error control is performed when the path quality deteriorates.

[0017] In the data exchange system of low-frequency wireless networking, the stability and accuracy of information transmission are affected by many factors, including signal attenuation, interference, path blocking, etc. Especially in complex environments, information transmission is often unstable, which may lead to data loss or errors between nodes; Step 1: Perform multi-level data interaction and local information optimization. By optimizing the information transmission path, aggregating local node information and making corrections, reliable information propagation in the network is ensured, thereby improving the data exchange efficiency and accuracy of low-frequency wireless networks. The specific steps are as follows: Obtain information about each node in the wireless network, and when a node initiates information transmission, evaluate multiple possible paths between the node and the target node, and select the optimal path for information transmission. Considering environmental factors such as obstacles (buildings, trees, etc.), radio interference, etc., the transmission quality (for example, signal attenuation) of each path is different. Based on real-time signal quality and interference evaluation, the optimal path is dynamically selected; When each node transmits information, it first needs to evaluate the available paths to the target node, consider factors such as signal attenuation, path blocking, and surrounding interference sources, and select the path with the best signal quality. The quality of the path can be described by the path gain function, which is calculated by parameters such as the distance between nodes, signal attenuation rate, and interference intensity. Suppose the signal gain between node i and node j is The gain is affected by factors such as path distance and environmental interference. The signal strength of the transmission is preset. Calculated by the following formula: ,in, is the transmission power, For path gain, environmental factors such as buildings, physical obstacles, etc. are considered; is the distance between node i and node j; is the attenuation index, which reflects the impact of the environment (such as attenuation in free space or complex environment); According to the above formula, the signal strength of each path between nodes is calculated, and the path with the largest signal strength is selected for information transmission.

[0018] In low-frequency wireless networks, information transmission may be affected by signal loss and attenuation between nodes. To enhance the reliability of information, a multi-level correction mechanism is used to aggregate the transmission information of local nodes and perform corrections layer by layer: Each node will make preliminary corrections based on the information received locally, and then make corrections based on the feedback information from neighboring nodes, and pass the corrected information to the upper-level nodes. During this process, the information is aggregated and corrected at each layer to ensure the accuracy of the information in each node; When each node i performs information correction, it first corrects the original signal it receives. and correction information of neighboring nodes Perform local correction, which can be achieved through the following correction function: ,in, is the signal originally received by node i, is the correction signal transmitted between node i and its neighbor node j, is the set of neighbor nodes of node i, and f is the correction function used to adjust the information of node i according to the feedback information of local neighbors; It should be noted that when designing the correction function f, the signal quality differences between nodes are taken into consideration, and the correction information of neighboring nodes with higher signal quality is adopted preferentially. For paths with weaker signals, the correction weight is enhanced to avoid unstable paths affecting the global information synthesis.

[0019] After the information is corrected, the node needs to synchronize the corrected information to other nodes through the feedback mechanism to ensure that the status of each node in the network is consistent. Each corrected information needs to be transmitted at multiple levels to gradually eliminate errors. That is, after completing the local information correction, the node will feed back the correction result to the adjacent nodes and gradually update the information status in the network through hierarchical propagation. The information propagation protocol between nodes is coordinated so that the information correction can be gradually propagated between network levels. Assume that node i corrects the information and passes it to node j. After receiving the information, node j also performs a similar correction process. Assume that after node j receives the corrected information, the process of updating the information can be represented by the following propagation function: ,in, is the original information of node j, is the correction information obtained from node i; g is the propagation function, which corrects the information and updates the state of node j by integrating the received information with the local state; The propagation function can be dynamically adjusted according to the relative distance between nodes, signal strength and network load to optimize the propagation effect of information in the network. Specifically, when the signal quality between nodes is high, the correction propagation process of information can be completed faster; when the signal quality is poor, the correction process requires multiple iterations to ensure information consistency.

[0020] When information is transmitted in the network, the network topology and node status may change. To ensure the stability of information transmission, nodes should dynamically update the transmission path according to the network status and continuously optimize information synthesis according to the current transmission quality. That is, when updating information, nodes should consider the current network status and dynamically adjust the information transmission path and correction strategy. In each information transmission cycle, nodes re-evaluate the information transmission path according to the real-time topology changes of the network and select the appropriate path for update.

[0021] Step 2: Adaptive information correction mechanism is used for low-frequency band signals. In low-frequency band wireless networking, the transmission and exchange of information are often affected by the network environment, node status and signal quality. These factors not only lead to certain errors in the information transmission process, but also may cause information loss or damage in some cases. In most cases, due to the propagation characteristics of low-frequency band signals, when the transmission distance is long, the signal will be greatly attenuated and interfered by noise, especially in complex environments (such as between buildings, areas with strong radio interference, etc.), the signal quality will be significantly reduced. The specific steps of adaptive correction are as follows: Perform information reception quality assessment. When each node receives information, it is necessary to assess the status of the information based on the node's own reception quality. The information status can be assessed based on indicators such as the node's signal strength, received bit error rate, and delay. To monitor the local environment, the node also needs to monitor the changes in its local environment. For example, the movement of the node, the fluctuation of environmental noise, the signal interference of neighboring nodes, etc. can affect the quality of information. Based on this monitoring information, it can be inferred whether correction is needed and what correction method to use; Based on the results of information reception quality assessment and local environment monitoring, the node will dynamically select an appropriate correction method. For example, when the signal quality is poor or the bit error rate is high, the node can use a stronger error correction algorithm; when the signal quality is good, a lighter correction strategy is adopted to ensure transmission efficiency.

[0022] Information correction needs to be based on the quality of the information received by the node (such as signal strength, bit error rate, etc.), and also needs to be combined with the status of neighboring nodes (such as connection quality, local environment, etc.) to dynamically adjust the correction method. The specific steps are as follows: Before making corrections, it is necessary to conduct a quality assessment on the received information to determine the degree of possible errors. Information quality assessment is the basis of the entire correction process and mainly includes the following steps: Signal strength measurement ( ), Indicates the signal strength received by node i from node j. The node calculates the received signal strength indication based on the RF energy of the received signal and estimates the signal attenuation based on the path length and environmental interference. Bit Error Rate Measurement ( ), the bit error rate represents the proportion of error bits in the information received by node i, and is a key indicator for measuring the accuracy of data transmission. The node calculates the proportion of error data by checking the received data packets (such as CRC check); Propagation delay measurement ( ), transmission delay refers to the transmission delay of information from the source node to the target node, reflecting the timeliness of data transmission. The node calculates the actual delay time by recording the sending timestamp and receiving timestamp of the data packet; According to the above indicators, the information quality is comprehensively scored and the information quality score is output: ,in, , , are weight factors, which respectively represent the influence of signal strength, bit error rate and delay on the quality score; The higher it is, the better the signal quality; The lower it is, the more reliable the information is; The smaller it is, the shorter the transmission delay is and the stronger the timeliness is; Score based on information quality , determine the degree of error in the data and select appropriate correction strategies to correct the information; according to The scoring range is divided into error levels and the setting is the high quality threshold, For low quality threshold: when When , it means that the information quality is good and no correction is needed; when When , it indicates that the information quality is average and a light correction is made; when When , it indicates that the information quality is poor and needs to be strongly corrected; Error evaluation formula: ,in Indicates the degree of error, is the maximum value of the quality score; According to the error evaluation results , choose different correction strategies, set is the error evaluation threshold: Lightweight correction, that is, when the error is small ( ), using low computational complexity correction methods such as data remapping or simple error detection; Strong correction, that is, when the error is large ( ), more complex correction algorithms are used, such as forward error correction (FEC) or data retransmission; The data is corrected according to the evaluation results. Its design should be dynamically adjusted to adapt to different network conditions and error conditions. The correction function formula is: ,in, For the corrected information; is the original information received by node i; rate the quality of information; is the network status of node i, including connection quality, feedback information of neighboring nodes, etc.; The information correction process of node i is a dynamically adjusted function. According to the network environment in which the node is located, the quality of the received information, and the status of neighboring nodes, an appropriate correction strategy is selected to reduce errors and improve the accuracy of information transmission.

[0023] When node i completes the information correction, it transmits the corrected information and the corrected trust to the neighboring node j. The coordinated optimization of information correction and feedback mechanism is the key to improving network performance. By continuously feeding back the corrected information and performing local synchronization, the nodes in the network can adjust according to the information status of the entire network, so that the information in the entire network gradually converges and improves the accuracy of information transmission.

[0024] Through the adaptive information correction mechanism, nodes can adjust the information correction strategies and methods in real time according to the information quality assessment results, changes in the local environment and dynamic changes in the network status. Low-frequency band signals are easily interfered by environmental noise when transmitted over long distances. Therefore, the adaptive information correction mechanism selects different correction strategies through bit error rate and signal strength evaluation. In view of the energy-sensitive characteristics of the low-frequency band, a balance between energy and correction accuracy is achieved by dynamically selecting lightweight or powerful correction methods.

[0025] Step 3: Analysis of dynamic information propagation and path optimization based on error control. In low-frequency wireless networking, signal transmission may be affected by environmental changes, interference between devices, noise, and attenuation, resulting in information errors and delays during transmission. Especially in complex network environments, path instability and information loss may aggravate communication problems and seriously affect the efficiency and reliability of data exchange. This step controls the error propagation of information and optimizes the information propagation path based on the real-time network status, thereby minimizing transmission errors and improving the accuracy and efficiency of data exchange. A dynamic path optimization mechanism based on error control is designed to ensure effective information transmission while improving the adaptability and robustness of the network in complex environments. The specific steps are as follows: In order to control the propagation of errors, we first need to model the errors in the information transmission process. Considering the multiple factors that affect transmission in low-frequency wireless networks, we set an error model to evaluate the error degree of the path. The error metric on is determined by signal attenuation, noise interference, and multipath effects. Specifically, the path The error metric on can be calculated by the following formula: ,in, For path Signal attenuation on the network is usually determined by path length, obstacles, and network topology; For path Noise interference on the network, affected by external interference sources and other signals; The multipath effect describes the error caused by the non-uniqueness of the signal propagation path (such as reflection and refraction); are three weighted coefficients used to quantify the contribution of different factors to the transmission error. The specific values ​​can be set according to the experimental data of the network environment or dynamically adjusted through an adaptive mechanism; During each data transmission, the system calculates the error metric on each path in real time. , and based on this value, determine whether it is necessary to correct the data or adjust the transmission path.

[0026] The error control strategy is selected based on the path error result. In low-frequency wireless networking, error control usually adopts the following strategies: Forward Error Correction (FEC): During the transmission process, redundant data is added to ensure that the receiving end can recover the information within a certain error range. Forward error correction is suitable for scenarios where the path error is small and the signal attenuation is not serious; Automatic Repeat Request (ARQ): Ensures the accuracy of information by retransmitting lost or erroneous data packets. If the path error is large or the interference is strong, the ARQ mechanism can ensure that the data is resent in time after a failed transmission; Combined use: In some complex environments, forward error correction and automatic repeat request mechanisms can be used together to ensure higher reliability.

[0027] According to the error metric of each path and signal-to-noise ratio , calculate whether a control strategy is needed. In the specific calculation, the choice of error control strategy can be determined by the following calculation formula: ,in, Indicates the path The larger the error metric of a path, the poorer the signal quality, and a stronger error control measure (such as retransmission or forward error correction) may be needed.

[0028] Based on the real-time error evaluation results, the most suitable transmission path can be selected in each transmission cycle. When selecting a path, consider signal strength and attenuation, give priority to paths with less signal attenuation, avoid signal attenuation caused by paths that are too long or have too many obstacles, and consider path stability. The stability of the path is evaluated through the signal quality and connectivity of each node in the network. Path stability It is an indicator that reflects the quality of a path. The path stability is obtained based on the ratio of the service quality of the path to the network congestion on the path. When the load of a path is high, it may cause congestion or data transmission delay. Therefore, choosing a path with lighter load and shorter distance can reduce the propagation of errors and improve transmission efficiency. When selecting a path, various factors are analyzed to select a path with the smallest error and the most stable. If the current path does not meet the error control requirements, the path can be dynamically switched for adjustment.

[0029] Based on dynamic path selection, the path reselection mechanism can further reduce error propagation. For example, if a path If the error metric exceeds the preset metric threshold, it is necessary to immediately switch to an alternative path with a smaller error. By reselecting the path, the information loss and error accumulation problems caused by unstable paths can be avoided. When each node selects a path, it checks the current path in real time according to the error evaluation result and selects the path with the smaller error. The final path optimization result can be expressed by the following formula: ,in, Indicates the path physical distance, and They are the weighted factors of path stability and distance respectively. Through this path optimization method, the shortest and most stable path can be selected while ensuring low error, thereby optimizing the data exchange efficiency of the network.

[0030] Through the dynamic information propagation and path optimization mechanism based on error control, the information transmission error in low-frequency wireless networking can be effectively reduced, and the quality of data exchange and network performance can be improved.

[0031] It should be noted that the thresholds involved in the embodiments can be determined according to specific scenarios and requirements.

[0032] The present invention improves the stability and reliability of information transmission by selecting the optimal transmission path between nodes and correcting information in combination with feedback from neighboring nodes. During the information transmission process, the node evaluates the information status according to the reception quality and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy according to the quality score to ensure the accuracy of the data. Through real-time error evaluation, the error metric of each path is calculated, and a suitable correction strategy is selected based on the error metric. In combination with forward error correction and automatic retransmission mechanisms, error control is performed in a timely manner when the path quality deteriorates, effectively reducing transmission errors caused by signal attenuation or interference. In low-frequency wireless networks, especially in complex environments, the transmission path and correction strategy can be dynamically adjusted to enhance the fault tolerance and robustness of the network, and improve the quality and reliability of data transmission.

[0033] Embodiment 2: A data exchange system for low-frequency wireless networking, such as Figure 2 As shown, specifically including: The information transmission module is used to obtain the nodes of the low-frequency wireless network, evaluate the path when the node transmits information, select the optimal path for information transmission, and correct the information according to the feedback of the neighboring nodes during the information transmission process; Dynamic characterization module, which is used by nodes to evaluate the information status according to the quality of information reception and environmental changes, determine whether to make corrections, and select lightweight or strong correction strategies for information correction according to the quality score of the information; The transmission error metric module is used to calculate the error metric of each transmission path and select a correction strategy based on the error metric. It controls the error when the path quality deteriorates through forward error correction and automatic retransmission mechanisms.

[0034] The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0035] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, an ATA hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state ATA hard disk.

[0036] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0037] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0038] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0039] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0040] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0041] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A data exchange method for low-frequency wireless networking, characterized in that: The steps include: Obtain low-frequency wireless networking nodes, evaluate paths when nodes transmit information, select the optimal path for information transmission, and modify information based on feedback from neighboring nodes during information transmission; The node evaluates the information status according to the quality of information reception and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy to make information corrections based on the quality score of the information; Through real-time error evaluation, the error metric of each transmission path is calculated, and a correction strategy is selected based on the error metric. Through forward error correction and automatic retransmission mechanisms, error control is performed when the path quality deteriorates.

2. The data exchange method for low-frequency wireless networking according to claim 1, characterized in that: Obtain the nodes of low-frequency wireless networking, evaluate the path when the node transmits information, select the optimal path for information transmission, and correct the information according to the feedback of neighboring nodes during the information transmission process. The specific process is as follows: Evaluate the path that each node takes to reach the target node when transmitting information, and select the path with the best signal quality based on signal attenuation, path obstruction, and surrounding interference sources; The quality of the path is determined by the path gain function, which is calculated by the distance between nodes, signal attenuation rate, and interference strength. The signal strength of each path between nodes is calculated, and the path with the largest signal strength is selected for information transmission; Each node will make preliminary corrections based on the information received locally. When correcting information, each node makes local corrections based on the original signal received and the correction information of neighboring nodes; After the information is corrected, the node synchronizes the corrected information to neighboring nodes through the feedback mechanism.

3. The data exchange method for low-frequency wireless networking according to claim 2, characterized in that: The node evaluates the information status according to the quality of information reception and environmental changes, determines whether to make corrections, and selects a lightweight or strong correction strategy to correct the information according to the quality score of the information. The specific process is as follows: Perform information reception quality assessment. When each node receives information, it assesses the status of the information based on its own reception quality. The information status is assessed based on the node's signal strength, received bit error rate, and delay index. Conduct local environment monitoring. Nodes monitor changes in the local environment. Changes in the local environment include node movement, fluctuations in environmental noise, and signal interference from neighboring nodes. The information correction method is dynamically adjusted based on the quality of the information received by the node and the local environment of the neighboring nodes.

4. The data exchange method for low-frequency wireless networking according to claim 3, characterized in that: The information correction method is dynamically adjusted based on the quality of the information received by the node and the local environment of the neighboring nodes. The specific process is as follows: Conduct quality assessment on received information before making any corrections; Perform signal strength measurement. Signal strength indicates the strength of the signal received by a node from another node. The node calculates the received signal strength by the radio frequency energy of the received signal. The bit error rate is measured. The bit error rate indicates the proportion of error bits in the information received by the node. The node performs CRC check on the received data packets and calculates the proportion of error data as the bit error rate. Transmission delay measurement. Transmission delay refers to the transmission delay of information from the source node to the destination node. The node records the sending timestamp and receiving timestamp of the data packet and calculates the actual delay time as the transmission delay. According to the signal strength, bit error rate, and transmission delay indicators, the information quality is scored, and the information quality score is calculated and output: ,in, , , are weight factors, which respectively represent the influence of signal strength, bit error rate and delay on the quality score; is the signal strength, is the transmission delay, is the bit error rate; Based on the information quality score, the degree of error in the data is determined, and a correction strategy is selected to correct the information.

5. The data exchange method for low-frequency wireless networking according to claim 4, characterized in that: According to the information quality score, the degree of error in the data is judged, and a correction strategy is selected to correct the information. The specific process is as follows: According to the scoring range of information quality score, the error level is divided and set is the high quality threshold, For low quality threshold: when When , the information quality is good and no correction is needed; when When , the information quality is average, and a light correction is performed; when When the information is of poor quality, it needs to be strongly corrected.

6. The data exchange method for low-frequency wireless networking according to claim 5, characterized in that: Through real-time error evaluation, the error metric of each transmission path is calculated, and a correction strategy is selected based on the error metric. Through forward error correction and automatic retransmission mechanisms, error control is performed when the path quality deteriorates. The specific process is as follows: The error metric of the path is determined based on the signal attenuation, noise interference and multipath effect on the path; The error metric on each path is calculated in real time during each data transmission process, and it is determined whether the data needs to be corrected or the transmission path needs to be adjusted based on the error metric; The error control strategy is selected based on the error metric and signal-to-noise ratio of each path. The strategies include forward error correction and automatic retransmission request.

7. A data exchange system for low-frequency wireless networking, used to implement a data exchange method for low-frequency wireless networking according to any one of claims 1 to 6, characterized in that: include: The information transmission module is used to obtain the nodes of the low-frequency wireless network, evaluate the path when the node transmits information, select the optimal path for information transmission, and correct the information according to the feedback of the neighboring nodes during the information transmission process; Dynamic characterization module, which is used by nodes to evaluate the information status according to the quality of information reception and environmental changes, determine whether to make corrections, and select lightweight or strong correction strategies for information correction based on the quality score of the information; The transmission error metric module is used to calculate the error metric of each transmission path and select a correction strategy based on the error metric. It controls the error when the path quality deteriorates through forward error correction and automatic retransmission mechanisms.

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