A data exchange method and system for low-frequency-band wireless networking

Abstract

The present invention discloses a data exchange method and system for low-frequency band wireless networking, specifically relating to the technical field of wireless networking communication, and is used to solve the problem of low data exchange efficiency in low-frequency band wireless networking; the present invention improves the stability and accuracy of data transmission by selecting the optimal transmission path and combining the feedback of neighboring nodes for information correction. Nodes evaluate the information status according to the information reception quality and environmental changes, and select appropriate correction strategies. During the path transmission process, real-time error evaluation is used to calculate the error metric of each path, and correction strategies are selected based on this. Combining forward error correction and automatic repeat request mechanisms, error control is performed when the path quality deteriorates. In low-frequency band wireless networking, the path and correction strategies are dynamically adjusted to enhance the fault tolerance and robustness of the network, effectively reducing transmission errors caused by signal attenuation or interference, enhancing the reliability of data transmission, adapting to complex wireless environments, and reducing the risk of information loss and mistransmission.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless networking communication, and more specifically, to a data exchange method and system for low-frequency band 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 fields such as the Internet of Things (IoT), industrial control, smart home, traffic management, and drone communication. The data exchange of wireless networking refers to the process of realizing data transmission and interaction between multiple nodes through wireless communication methods. The nodes in wireless networking can be fixed (such as sensors, base stations) or mobile (such as drones, vehicles, smart terminals).

[0003] Deficiencies of the prior art: In low-frequency band wireless ad-hoc networks, the accuracy of information synthesis has long been an important factor restricting the improvement of network performance. When information transmission and synthesis face complex and dynamically changing network environments, they are often affected by multiple problems such as interference, noise, signal attenuation, and data loss, resulting in inaccurate synthesized information, thereby having a negative impact on the performance of the entire network. Especially in low-frequency band networks, the propagation characteristics of signals make the communication between nodes more vulnerable to external factors, thus increasing the uncertainty and error of information transmission, leading to not only easy distortion of local information synthesis, but also possible misidentification of network topology, deviation of routing selection, and inefficiency of data exchange, seriously affecting the real-time performance, 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 band wireless networking to solve the problem of low data exchange efficiency in low-frequency band wireless networking in the above-mentioned background art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A data exchange method for low-frequency band wireless networking includes the following steps:

[0007] Obtain the nodes of the low-frequency band wireless networking, and evaluate the path selection to select the optimal path for information transmission when the nodes transmit information, and correct the information according to the feedback of neighboring nodes during the information transmission process;

[0008] The nodes evaluate the information state according to the information reception quality and environmental changes, judge whether to correct, and select a lightweight or strong correction strategy for information correction according to the quality score of the information;

[0009] 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 repeat request mechanisms, error control is performed when the path quality deteriorates.

[0010] In a preferred embodiment, nodes for low-frequency wireless networking are obtained. When the nodes transmit information, the optimal path for information transfer is evaluated and selected, and information correction is performed according to the feedback from neighboring nodes during the information transfer process. The specific process is as follows:

[0011] Evaluate the paths from each node to the target node during information transfer, and select the path with the best signal quality according to signal attenuation, path blockage, and surrounding interference sources.

[0012] The quality of the path is determined by a path gain function, which is calculated based on the distance between nodes, the signal attenuation rate, and the interference intensity. Calculate the signal strength of each path between nodes, and select the path with the maximum signal strength for information transfer.

[0013] Each node makes a preliminary correction based on the locally received information. When each node performs information correction, it makes a local correction based on the received original signal and the correction information from neighboring nodes.

[0014] After information correction, the node synchronizes the corrected information to neighboring nodes through a feedback mechanism.

[0015] In a preferred embodiment, the node evaluates the information status based on the information reception quality and environmental changes, determines whether to make a correction, and selects a lightweight or strong correction strategy for information correction according to the quality score of the information. The specific process is as follows:

[0016] Perform information reception quality evaluation. When each node receives information, it evaluates the status of the information according to the node's own reception quality. The information status is evaluated based on the node's signal strength, received bit error rate, and delay index.

[0017] Perform local environmental monitoring. The node monitors changes in the local environment where it is located. Changes in the local environment include the movement of the node, fluctuations in environmental noise, and signal interference from neighboring nodes.

[0018] Information correction dynamically adjusts the correction method based on the node's received information quality and the local environment of neighboring nodes.

[0019] In a preferred embodiment, information correction dynamically adjusts the correction method based on the node's received information quality and the local environment of neighboring nodes. The specific process is as follows:

[0020] Before performing information correction, evaluate the quality of the received information.

[0021] Perform signal strength measurement. The signal strength represents the signal strength received by a node from another node. The node calculates the received signal strength through the radio frequency energy of the received signal;

[0022] Perform bit error rate measurement. The bit error rate represents the proportion of error bits in the information received by the node. The node calculates the proportion of error data as the bit error rate by performing CRC check on the received data packet;

[0023] Perform transmission delay measurement. The transmission delay represents the transmission delay of information from the source node to the destination node. The node calculates the actual delay time as the transmission delay by recording the send timestamp and receive timestamp of the data packet;

[0024] According to the signal strength, bit error rate, and transmission delay metrics, score the information quality, calculate and output the information quality score: , where , , are weight factors, representing the influence weights of signal strength, bit error rate, and delay on the quality score respectively; is the signal strength, is the transmission delay, is the bit error rate;

[0025] According to the information quality score, judge the error degree of the data, and select a correction strategy to correct the information.

[0026] In a preferred embodiment, according to the information quality score, judge the error degree of the data, and select a correction strategy to correct the information. The specific process is as follows:

[0027] According to the score range of the information quality score, divide the error levels, and set as the high-quality threshold, as the low-quality threshold:

[0028] When , the information quality is excellent and no correction is required;

[0029] When , the information quality is average and lightweight correction is performed;

[0030] When , the information quality is poor and strong correction is required.

[0031] In a preferred embodiment, through real-time error assessment, calculate the error metric of each transmission path, and select a correction strategy according to the error metric. Through forward error correction and automatic repeat request mechanisms, perform error control when the path quality deteriorates. The specific process is as follows:

[0032] Determine the error metric of the path jointly according to the signal attenuation, noise interference and multipath effect on the path;

[0033] During each data transmission process, calculate the error metric of each path in real time, and determine whether it is necessary to correct the data or adjust the transmission path according to the error metric;

[0034] Select an error control strategy according to the error metric and signal-to-noise ratio of each path. The strategies include forward error correction and automatic repeat request.

[0035] A data exchange system for low-frequency wireless networking, which is used to implement the above-mentioned data exchange method for low-frequency wireless networking, includes:

[0036] An information transfer module, which is used to obtain the nodes of the low-frequency wireless network, evaluate the path during node information transmission to select the optimal path for information transfer, and correct the information according to the feedback of neighboring nodes during the information transfer process;

[0037] A dynamic characterization module, which is used for the node to evaluate the information state according to the information reception quality and environmental changes, determine whether to correct, and select a lightweight or strong correction strategy for information correction according to the quality score of the information;

[0038] A transmission error metric module, which is used to calculate the error metric of each transmission path, select a correction strategy according to the error metric, and perform error control through forward error correction and automatic retransmission mechanisms when the path quality deteriorates.

[0039] The technical effects and advantages of the present invention:

[0040] The present invention improves the stability and reliability of information transmission by selecting the optimal transmission path between nodes and combining the feedback of neighboring nodes to correct the information. During the information transfer process, the node evaluates the information state according to the reception quality and environmental changes, determines whether to correct, 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, calculate the error metric of each path, select a suitable correction strategy according to the error metric, and combine forward error correction and automatic retransmission mechanisms to perform error control in time when the path quality deteriorates, effectively reducing transmission errors caused by signal attenuation or interference. In a low-frequency wireless network, especially in a complex environment, it can dynamically adjust the transmission path and correction strategy, enhance the fault tolerance and robustness of the network, and improve the quality and reliability of data transmission. Description of the Drawings

[0041] Figure 1 It is a flowchart of a data exchange method for low-frequency wireless networking of the present invention.

[0042] Figure 2Schematic diagram of the structure of a data exchange system for low-frequency wireless networking according to the present invention. Detailed implementation manners

[0043] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0044] Embodiment 1: As Figure 1 shown, a data exchange method for low-frequency wireless networking includes the following steps:

[0045] Obtain nodes of low-frequency wireless networking, and evaluate the optimal path for path selection to transmit information when the nodes transmit information, and correct the information according to the feedback of neighboring nodes during the information transmission process;

[0046] The nodes evaluate the information state according to the information reception quality and environmental changes, judge whether to correct, and select a lightweight or strong correction strategy for information correction according to the quality score of the information;

[0047] Through real-time error evaluation, calculate the error metric of each transmission path, and select a correction strategy according to the error metric. Through the forward error correction and automatic repeat request mechanisms, error control is performed when the path quality deteriorates.

[0048] 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 blockage, etc. Especially in a complex environment, the transmission of information is often unstable, which may lead to the loss or error of data between nodes;

[0049] Step 1, perform multi-level data interaction and local information optimization. By optimizing the information transmission path, aggregating local node information and correcting it, ensure the reliable propagation of information in the network, thereby improving the data exchange efficiency and accuracy of the low-frequency wireless network. The specific steps are as follows:

[0050] Obtain information of each node in the wireless networking, and when a node initiates information transmission, evaluate multiple possible paths between the node and the target node, 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, dynamically select the best path;

[0051] When each node conducts information transmission, it first needs to evaluate the available paths to the target node. Considering factors such as signal attenuation, path blockage, and surrounding interference sources, it selects the path with the optimal signal quality. The quality of the path can be described by a path gain function, which is calculated through parameters such as the distance between nodes, signal attenuation rate, and interference intensity. Let the signal gain between node i and node j be , which is affected by factors such as path distance and environmental interference and is preset. The intensity of the transmitted signal is calculated by the following formula: , where is the transmission power, is the path gain, considering environmental factors such as buildings and physical obstacles; is the distance between node i and node j; is the attenuation exponent, reflecting the impact of the environment (such as attenuation in free space or complex environments);

[0052] According to the above formula, the signal intensity of each path between nodes is calculated, and the path with the maximum signal intensity is selected for information transmission.

[0053] In the low-frequency wireless network, the information transmission process may be affected by signal loss and attenuation between nodes. To enhance the reliability of information, a multi-level correction mechanism is adopted. The transmitted information of local nodes is aggregated and corrected layer by layer:

[0054] Each node will perform preliminary correction based on the locally received information, and then correct it through the feedback information of neighboring nodes and transmit the corrected information to the upper-layer nodes. In this process, the information is aggregated and corrected at each layer to ensure the accuracy of the information in each node;

[0055] When each node i performs information correction, it first performs local correction based on the original signal it receives and the correction information of neighboring nodes. This correction process can be achieved through the following correction function: , where 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, which is used to adjust the information of node i according to the feedback information of local neighbors;

[0056] It should be noted that when designing the correction function f, considering the signal quality differences between nodes, the correction information of neighbor nodes with higher signal quality is preferentially adopted. For paths with weaker signals, by increasing the weight of the correction, the impact of unstable paths on global information synthesis is avoided.

[0057] After the information is corrected, the node needs to synchronize the corrected information to other nodes through a feedback mechanism to ensure the consistency of the states of all nodes in the network. Each time the corrected information needs to be transmitted at multiple levels to gradually eliminate errors. That is, after completing the local information correction, the node feeds back the correction result to neighboring nodes and gradually updates the information state in the network through hierarchical propagation. Through the information propagation protocol between nodes for coordination, the information correction can be gradually propagated between network levels;

[0058] Suppose node i corrects the information and transmits it to node j. After receiving the information, node j also performs a similar correction process. Let the process of updating the information by node j after receiving the corrected information be represented by the following propagation function: , where is the original information of node j, is the corrected information obtained from node i; g is the propagation function, which integrates the received information with the local state, corrects the information and updates the state of node j;

[0059] 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 quickly; in the case of poor signal quality, the correction process requires multiple iterations to ensure information consistency.

[0060] When information is transmitted in the network, the topology of the network and the states of nodes may change. To ensure the stability of information transmission, nodes should dynamically update the transmission path according to the network state and continuously optimize information synthesis according to the current transmission quality. That is, when nodes perform information updates, they consider the current network state, 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 change of the network and select a suitable path for update.

[0061] Step 2, perform an adaptive information correction mechanism for low-frequency signals. In low-frequency wireless networking, the transmission and exchange of information are often affected by the network environment, node states and signal quality. These factors not only cause certain errors in the information transmission process, but may also cause information loss or damage in some cases. In most cases, due to the propagation characteristics of low-frequency signals, when the transmission distance is far, 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:

[0062] Perform information reception quality assessment. When each node receives information, it needs to evaluate the status of the information based on its own reception quality. The information status can be evaluated according to indicators such as the node's signal strength, received bit error rate, and delay;

[0063] Perform local environment monitoring. The node also needs to monitor changes in its local environment. For example, the movement of the node, fluctuations in environmental noise, signal interference from neighboring nodes, etc. can all affect the quality of information. Based on this monitoring information, it can be inferred whether corrections are needed and what correction methods to use;

[0064] Based on the results of information reception quality assessment and local environment monitoring, the node will dynamically select an appropriate correction method. For example, in the case of poor signal quality or a high bit error rate, the node can use a stronger error correction algorithm; while when the signal quality is good, a lighter correction strategy is adopted to ensure transmission efficiency.

[0065] 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 combine the status of neighboring nodes (such as connection quality, local environment, etc.) to dynamically adjust the correction method. The specific steps are as follows:

[0066] Before performing the correction, it is necessary to perform a quality assessment on the received information to determine the possible error degree. Information quality assessment is the basis of the entire correction process and mainly includes the following steps:

[0067] Signal strength measurement ( ), denotes the signal strength received by node i from node j. The node calculates the received signal strength indication through the radio frequency energy of the received signal, and at the same time estimates the signal attenuation in combination with the path length and environmental interference conditions;

[0068] 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 verifying the received data packet (such as CRC check);

[0069] Transmission delay measurement ( ). The transmission delay represents the transmission delay of information from the source node to the target node and reflects the timeliness of data transmission. The node calculates the actual delay time by recording the send timestamp and receive timestamp of the data packet;

[0070] According to the above indicators, comprehensively score the information quality and output the information quality score: , where, , , is the weight factor, representing the influence weights of signal strength, bit error rate, and delay on the quality score respectively; The higher it is, the better the signal quality; The lower it is, the more reliable the information; The smaller it is, the shorter the transmission delay and the stronger the timeliness;

[0071] According to the information quality score , judge the error degree of the data and select an appropriate correction strategy to correct the information;

[0072] According to the score range, divide the error levels, and set as the high-quality threshold, as the low-quality threshold:

[0073] When , it means that the information quality is excellent and no correction is needed;

[0074] When , it means that the information quality is average and lightweight correction is performed;

[0075] When , it means that the information quality is poor and strong correction is needed;

[0076] Error evaluation formula: , where represents the error degree, is the maximum value of the quality score;

[0077] According to the error evaluation result , select different correction strategies, and set as the error evaluation threshold:

[0078] Lightweight correction, that is, when the error is small ( ), use correction methods with low computational complexity, such as data remapping or simple error detection;

[0079] Strong correction, that is, when the error is large ( ), adopt more complex correction algorithms, such as forward error correction (FEC) or data retransmission;

[0080] Correct the data according to the evaluation result, and its design should be dynamically adjusted to adapt to different network conditions and error situations. The correction function formula: , where, is the corrected information; is the original information received by node i; is the information quality score; is the network state of node i, including connection quality, feedback information of neighboring nodes, etc.; It represents the information correction process of node i, which is a dynamically adjusted function. According to the network environment where the node is located, the quality of the received information, and the status of neighboring nodes, it selects appropriate correction strategies to reduce errors and improve the accuracy of information transmission.

[0081] After node i completes information correction, it transmits the corrected information together with the correction confidence to neighboring node j. The collaborative optimization of the information correction and feedback mechanism is the key to improving network performance. By continuously feedbacking and correcting 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 tends to be consistent, improving the accuracy of information transmission.

[0082] Through the adaptive information correction mechanism, the node can adjust the strategies and methods of information correction in real time according to the quality evaluation results of the information, changes in the local environment, and dynamic changes in the network state. Low-frequency signals are easily interfered by environmental noise during long-distance transmission. Therefore, the adaptive information correction mechanism selects different correction strategies through bit error rate and signal strength evaluation. In view of the energy consumption sensitive characteristics of the low-frequency band, by dynamically selecting lightweight or powerful correction methods, the balance between energy and correction accuracy is achieved.

[0083] 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 factors such as environmental changes, interference between devices, noise, and attenuation, resulting in information errors and delays during the transmission process. Especially in a complex network environment, path instability and information loss may exacerbate communication problems, seriously affecting the efficiency and reliability of data exchange. In this step, by controlling the error propagation of information and optimizing the information propagation path based on the real-time network state, the transmission error is minimized, and the accuracy and efficiency of data exchange are improved. A dynamic path optimization mechanism based on error control is designed to improve the adaptability and robustness of the network in a complex environment while ensuring the effective transmission of information. The specific steps are as follows:

[0084] To control the propagation of errors, it is first necessary to model the errors in the information transmission process. Considering multiple factors affecting transmission in low-frequency wireless networks, an error model is set to evaluate the error degree of the path. Each path The error metric on is jointly determined by signal attenuation, noise interference, and multipath effects. Specifically, the error metric on the path can be calculated by the following formula: , where is the signal attenuation on the path , which is usually determined by the path length, obstacles, and network topology; is the path The noise interference on it is affected by external interference sources and other signals; Is the multipath effect, which describes the error caused by the non-uniqueness of the signal propagation path (such as reflection, refraction); Are three weighting 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;

[0085] During each data transmission process, the system calculates the error metric on each path in real time and determines whether it is necessary to correct the data or adjust the transmission path based on this value.

[0086] Based on the results of the path error, select the error control strategy. In low-frequency wireless networking, the following strategies are usually adopted for error control:

[0087] Forward Error Correction (FEC): During transmission, redundant data is added to ensure that the receiving end can recover the information within a certain error range. Forward error correction is applicable to scenarios where the path error is small and the signal attenuation is not serious;

[0088] Automatic Repeat Request (ARQ): Ensures the accuracy of information by retransmitting lost or incorrect data packets. If the path error is large or the interference is strong, the ARQ mechanism can ensure that the data is retransmitted in a timely manner after a failed transmission;

[0089] Combined use: In some complex environments, the forward error correction and automatic repeat request mechanisms can be used in combination to ensure higher reliability.

[0090] According to the error metric of each path and the signal-to-noise ratio , calculate whether it is necessary to adopt a control strategy. When calculating specifically, the selection of the error control strategy can be judged by the following calculation formula: , where represents the signal-to-noise ratio on path . The larger the error metric of the path, the worse the signal quality, and stronger error control means (such as retransmission or forward error correction) may be required.

[0091] Based on the real-time error evaluation results, the most suitable transmission path can be selected within each transmission cycle. When selecting a path, consider the signal strength and attenuation, and preferentially select the path with less signal attenuation to avoid signal attenuation caused by too long a path or too many obstacles. Consider the path stability, and evaluate the path stability through the signal quality and connectivity of each node in the network. Path stability is an index reflecting the path quality, and the path stability is obtained according to the ratio of the quality of service of the path to the network congestion degree on the path;

[0092] When the load of a path is high, it may cause congestion or data transmission delay. Therefore, selecting a path with a lighter load and a shorter distance can reduce the propagation of errors and improve the transmission efficiency. When selecting a path, through the analysis of various factors, a path with the smallest error and stability is selected. If the current path does not meet the error control requirements, the path can be dynamically switched for adjustment.

[0093] Based on dynamic path selection, the path reselection mechanism can further reduce error propagation. For example, assume a certain path whose error metric exceeds the preset metric threshold, then it is necessary to immediately switch to a backup path with a smaller error. Through path reselection, problems such as information loss and error accumulation caused by unstable paths can be avoided;

[0094] When each node selects a path, it performs real-time checks on the current path according to the error evaluation result and selects a path with a smaller error. The final path optimization result can be expressed by the following formula: , where represents the physical distance of path , and are the weighting factors of path stability and distance respectively. Through this path optimization method, the shortest and stable path can be selected while ensuring low error, optimizing the data exchange efficiency of the network.

[0095] 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.

[0096] It should be noted that the thresholds involved in the embodiments can be determined according to specific scenarios and requirements.

[0097] The present invention selects the optimal transmission path between nodes and combines the feedback of neighboring nodes to correct information, improving the stability and reliability of information transmission. During the information transmission process, nodes evaluate the information status according to the reception quality and environmental changes, judge whether to make corrections, and select lightweight or strong correction strategies according to the quality score to ensure the accuracy of data. Through real-time error evaluation, calculate the error metric of each path, select the appropriate correction strategy based on the error metric, and combine the forward error correction and automatic repeat request mechanisms to perform error control 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, it can dynamically adjust the transmission path and correction strategy, enhance the fault tolerance and robustness of the network, and improve the quality and reliability of data transmission.

[0098] Embodiment 2: A data exchange system for low-frequency band wireless networking, as Figure 2 shown, specifically including:

[0099] An information transfer module, which is used to obtain the nodes of the low-frequency band wireless networking, evaluate the path selection to select the optimal path for information transfer when the nodes transmit information, and perform information correction according to the feedback of adjacent nodes during the information transfer process;

[0100] A dynamic characterization module, which is used for the nodes to evaluate the information state according to the information reception quality and environmental changes, judge whether to perform correction, and select a lightweight or strong correction strategy for information correction according to the quality score of the information;

[0101] A transmission error metric module, which is used to calculate the error metric of each transmission path, select a correction strategy according to the error metric, and perform error control through a forward error correction and automatic repeat request mechanism when the path quality deteriorates.

[0102] The above formulas are all dimensionless and take their numerical values for calculation. Specifically, various means such as standardization can be used for dimensionless processing, which will not be elaborated here. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formula are set by those skilled in the art according to the actual situation.

[0103] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can 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 processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can 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 can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that the computer can access, or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, ATA hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state ATA hard disk.

[0104] It should be understood that in various embodiments of the present application, the sequence numbers of the above processes do not indicate the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0105] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0106] In several embodiments provided by 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 merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0107] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0108] In addition, the functional units in various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0109] As mentioned above, the above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to 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. 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; 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: Before correcting the information, the quality of the received information is evaluated, including signal strength measurement, bit error rate measurement, and transmission delay measurement; Score the information quality based on the signal strength, bit error rate, and transmission delay indicators, and calculate and output the information quality score; 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.

2. The data exchange method for low-frequency wireless networking according to claim 1, 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.

3. The data exchange method for low-frequency wireless networking according to claim 2, 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.

4. The data exchange method for low-frequency wireless networking according to claim 3, 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.

5. The data exchange method for low-frequency wireless networking according to claim 4, 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.

6. 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 5, 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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