Dual-mode communication method based on power line carrier and wireless

Abstract

The invention relates to the technical field of communication, and discloses a dual-mode communication method based on power line carrier and wireless, which comprises the following steps: S1, when equipment is started, detecting a network environment, and configuring a communication mode with strong signal and high network quality according to a detection result; s2, packaging data to be sent through a corresponding communication mode, and transmitting the data through a corresponding physical layer interface after data packaging is completed; and S3, dynamic data packaging and transmission: a data packaging strategy: dynamically adjusting the data packaging and coding strategy according to a communication mode, and using forward error correction coding for high noise for a power line carrier. Through an intelligent selection mechanism and an environment perception module, the system can evaluate and use the optimal communication path and mode in real time to cope with network conditions with poor stability and changing environment factors so as to improve the stability and reliability of the whole network.

Description

Technical Field

[0001] This invention relates to the field of communication technology, specifically to a dual-mode communication method based on power line carrier and wireless communication. Background Technology

[0002] In modern communication systems, various communication technologies are widely used to achieve efficient data transmission, especially power line carrier and wireless communication. Both technologies have unique advantages in different scenarios.

[0003] Power line carrier (PLC) technology makes full use of existing power lines for data transmission, which is particularly useful in environments where laying additional communication lines could be complex or costly. For example, in power data acquisition systems, PLC technology allows data to be transmitted directly from smart meters or other power monitoring devices to a central management system without the need for additional communication lines. However, power line environments are typically noisy and susceptible to interference from various electrical devices, which can severely impact signal quality and transmission reliability. Furthermore, PLC technology is often limited by low data transmission rates and latency, which can pose a challenge in applications requiring high-speed, real-time data transmission.

[0004] Wireless communication technology offers flexibility and mobility, enabling devices within wireless coverage area to communicate easily. In power generation areas, wireless communication supports real-time data monitoring and remote control of mobile devices, improving work efficiency and safety. However, wireless signals are significantly affected by the physical environment; walls and other obstacles can cause signal attenuation, thus affecting the continuity and reliability of communication. Furthermore, in areas with high-density equipment, wireless channels are prone to congestion, and co-channel interference can weaken communication performance.

[0005] Therefore, those skilled in the art provide a dual-mode communication method based on power line carrier and wireless communication to solve the problems mentioned in the background art. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a dual-mode communication method based on power line carrier and wireless communication. This method solves the problems of high noise levels in power line environments, which are susceptible to interference from various electrical devices, severely affecting signal quality and transmission reliability. Furthermore, power line carrier communication is typically limited by low data transmission rates and latency. Meanwhile, wireless signals are affected by the physical environment, such as walls and other obstacles, which can cause signal attenuation, affecting the continuity and reliability of communication. In areas with high-density devices, wireless channels are prone to congestion, and co-channel interference can weaken communication performance.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0008] S1. When the device starts up, it detects the network environment and configures a communication method with strong signal and high network quality based on the detection results.

[0009] S2. Encapsulate the data to be sent using the appropriate communication method, and then transmit the data through the corresponding physical layer interface after the data encapsulation is completed.

[0010] S3, Dynamic Data Encapsulation and Transmission:

[0011] Data encapsulation strategy: The data encapsulation and encoding strategy is dynamically adjusted according to the communication method. For power line carrier, forward error correction coding for high noise is used.

[0012] Adaptive Transport Protocol: Introducing an adaptive transport protocol that dynamically adjusts packet size and transmission rate based on network conditions to optimize bandwidth usage and reduce transmission latency;

[0013] S4. Error handling and adaptive retransmission strategy:

[0014] Error Detection and Response: Design an error detection system and utilize advanced error correction techniques;

[0015] Adaptive retransmission: Automatically adjusts the retransmission strategy based on error type and frequency, using the optimal retransmission time and retransmission data path.

[0016] S5, seamless switching technology for communication methods:

[0017] Seamless handover module: Develop a seamless handover module that allows for a smooth transition between power line carrier and wireless communication, minimizing data loss and communication interruption during handover;

[0018] Switching decisions: Switching decisions are based on real-time performance assessments and predicted network conditions, combined with weather forecasts and big data analysis;

[0019] S6. Multi-node coordination and network management:

[0020] Network Management System: Implement a network management system to adjust the communication priorities and resource allocation of each node;

[0021] Distributed algorithms: Optimizing network data flow using distributed algorithms;

[0022] S7. Energy Efficiency Management and Environmental Adaptability:

[0023] Energy efficiency management module: Adjusts communication mode based on device power status and expected quality of service;

[0024] Dynamic power control: Implements dynamic power control for power line carriers and wireless modules to adapt to the energy efficiency requirements of various environments.

[0025] Step S1 ensures that the initial communication setup is best suited to the current environmental conditions; Step S2 ensures data packet compatibility and maximizes performance under specific communication methods; Step S3 aims to optimize bandwidth usage and reduce transmission latency; Step S4 ensures data reliability and transmission efficiency; Step S5 allows for a smooth transition between power line carrier and wireless communication, minimizing data loss and communication interruptions during the switching process; Step S6 optimizes network data flow and collaborative efficiency; Step S7 optimizes energy consumption and improves the environmental adaptability of equipment.

[0026] Preferably, in step S3, the implementation steps of the adaptive transmission protocol are as follows:

[0027] Step 1: Network condition monitoring: Regularly or continuously monitor the network bandwidth, latency, and packet loss rate by installing sensors or using software tools to obtain data from the physical and network layers.

[0028] The second step is dynamic parameter adjustment: Based on the monitored network conditions, the optimal data packet capacity and transmission rate are determined through a preset algorithm. At the same time, the coding strategy is adjusted to take into account the characteristics of power line carrier communication in high-noise environments.

[0029] Step 3: Data packet encapsulation and encoding: Encapsulate the data and encode it according to the encoding strategy;

[0030] Step 4, Transmission Adjustment Execution: Transmit the encapsulated and encoded data packets through the physical layer interface, and monitor the performance of the transmission process in real time.

[0031] Step 5, Performance Feedback Loop: Collect performance feedback after transmission, and adjust algorithm parameters based on data feedback to improve the transmission plan.

[0032] Dynamic parameter adjustment steps can reduce error rates and improve data integrity; packet encapsulation and encoding can improve the stability and efficiency of data transmission, especially in changing or unstable network environments; real-time monitoring during transmission adjustment execution allows the system to quickly identify and resolve problems that occur during transmission; the continuous learning and adjustment process in the performance feedback loop is the core of the adaptive system, enabling the communication system to continuously adapt to environmental changes and optimize performance.

[0033] Preferably, in step S3, the adaptive transmission protocol implementation step includes a bandwidth estimation formula, a forward error correction coding rate formula, and a data packet capacity adjustment formula;

[0034] The bandwidth estimation formula is as follows: Where B(t) is the bandwidth estimate at time t, L is the data packet length, RTT is the round-trip time, and R is the transmission rate.

[0035] The formula for the forward error correction coding rate is: Among them, FEC rate E represents the coding rate for forward error correction. b / N0 is the ratio of bit energy to noise power spectral density, and SNR is the signal-to-noise ratio;

[0036] The data packet capacity adjustment formula is: P size =f(B(t),Delay target Loss rate ), where P size This is the adjusted data packet size, Delay target It's a target delay, Loss rate It is the packet loss rate, and f is a function that adjusts the packet capacity based on network metrics.

[0037] Preferably, in step S4, the specific implementation steps of the error detection system are as follows:

[0038] Step 1: Error Detection Mechanism Design: Design and integrate error detection technology, and apply error detection algorithms to the received data packets to determine whether there are transmission errors;

[0039] Step 2, Error Data Identification: When an error is detected, the erroneous data packet is identified, and the error type and its position in the data stream are recorded;

[0040] Step 3: Error Reporting: Feedback the error information to the transmission control center;

[0041] Step 4: Dynamic Error Correction: Using error correction algorithms, the detected errors are corrected.

[0042] Step 5: System performance tuning: Adjust the parameters of the transmission protocol according to the pattern and frequency of error occurrence;

[0043] Step 6: Real-time monitoring and feedback loop: Continuously monitor the overall performance of the system and adjust error detection and correction strategies based on system performance feedback.

[0044] The error detection mechanism is designed to detect potential transmission errors in real time upon data reception, ensuring data integrity. Error data identification is crucial for subsequent error correction, ensuring the targetedness and efficiency of error correction measures. The error reporting step is a key component of the error management process, providing data support for error correction and system optimization. Dynamic error correction improves the reliability of data transmission. System performance tuning, through adaptive adjustments, optimizes system performance and reduces future errors. Real-time monitoring and feedback loops maintain efficient and stable communication performance.

[0045] Preferably, in step S4, the implementation steps of the error detection system include cyclic redundancy check (CRC), and the CRC algorithm formula is: Where Data is a data block, 2 n This indicates that the Divisor is a predefined polynomial based on the number of CRC bits.

[0046] Preferably, in step S5, the specific implementation steps of the seamless switching technology are as follows:

[0047] Assess available communication networks and measure signal strength, network quality, and bandwidth when communication begins and devices are started.

[0048] Continuously monitor network signal strength, network congestion, data transmission rate, and error rate;

[0049] Define clear network performance thresholds; when the signal strength drops to the corresponding level or the data packet loss rate exceeds the preset value, network handover is triggered.

[0050] The seamless switching module is activated based on the switching trigger conditions;

[0051] Before switching, synchronize or store the current transmission status and data;

[0052] During the handover process, the data buffer and transmission rate are dynamically adjusted to adapt to the characteristics of the new network;

[0053] After the switchover is complete, optimize the configuration of the new network to improve performance and stability.

[0054] Preferably, in step S5, the implementation steps of seamless handover technology include a signal quality assessment formula, a network stability assessment formula, a multi-factor decision formula, and a handover trigger threshold formula.

[0055] The signal quality evaluation formula is: Q s = w1·RSSI + w2·SNR, where Q s The signal quality score is represented by RSSI (Received Signal Strength Indicator), SNR (Signal-to-Noise Ratio), and w1 and w2 are weighting factors.

[0056] The network stability assessment formula is as follows: Among them, S n It is a network stability indicator, where x is the network parameter being measured and θ is the parameter threshold.

[0057] The multi-factor decision-making formula is: DecisionScore=α·Q s +β·S n +γ·U, where DecisionScore is the score used to determine whether to switch networks, U represents the user-specific score, and α, β, and γ are the weights used to balance the influence of each score factor;

[0058] The formula for the switching trigger threshold is:

[0059] Here, Trigger represents the binary output of whether to trigger a handover, and T is a predetermined handover decision score threshold.

[0060] Preferably, in step S6, the specific implementation steps of the network management system are as follows:

[0061] Identify the available nodes in the network and build a database of nodes;

[0062] Evaluate communications within the network;

[0063] Prioritization rules should be established based on the importance of nodes and the urgency of tasks.

[0064] Develop resource allocation strategies to balance high-priority tasks and overall network efficiency;

[0065] The dynamic resource management module dynamically adjusts resource allocation based on real-time network conditions and node status.

[0066] Continuously monitor the network's operational status, node communication efficiency, data latency, and packet loss rate;

[0067] Apply distributed algorithms to improve data flow and enhance network collaboration.

[0068] Implement redundancy mechanisms, data replication, and automatic failover;

[0069] An integrated energy efficiency management module adjusts the communication mode based on the node's energy consumption and service quality.

[0070] Preferably, in step S6, the distributed algorithm formula is:

[0071] Where, x i R represents the resource allocation for the i-th node, R is the total resource, and N is the total number of nodes requesting resources.

[0072] Preferably, the S7 implementation step includes a dynamic power control algorithm, an energy efficiency optimization algorithm, and an environmental adaptability algorithm;

[0073] The power control algorithm is: P out =P in -L total ,

[0074] P tx =min(P max ,P tx，prev +γ(S target -S measured ), where P out It is the antenna's output power, P in It is the initial input power, L total It is the total transmission loss;

[0075] The energy efficiency optimization algorithm is as follows: Among them, E used It is the total energy during the time interval t0 to t1, and P(t) is the power consumption during that time interval;

[0076] The environmental adaptation algorithm is: P tx,env =P tx ·f(Env), where P tx,env It is the transmission power adjusted according to environmental factors. f(Env) is a function that adjusts the power output according to environmental conditions to optimize energy efficiency and communication quality.

[0077] This invention provides a dual-mode communication method based on power line carrier and wireless communication. It has the following advantages:

[0078] 1. Through intelligent selection mechanism and environmental perception module, the system can evaluate and use the best communication path and method in real time to cope with unstable network conditions and changing environmental factors, so as to improve the overall stability and reliability of the network. Moreover, dynamic data encapsulation and adaptive transmission protocol allow the system to adjust the data packet capacity and encoding strategy according to the network status, improve bandwidth utilization and reduce latency.

[0079] 2. This invention effectively reduces data loss due to errors through advanced error handling and adaptive retransmission strategies. At the same time, seamless switching technology avoids data loss when switching between various communication modes, reducing the probability of communication interruption. Furthermore, the multi-node coordination and optimization network management system ensures efficient utilization of network resources. By adjusting communication priorities and resource allocation, the network service is made fair and efficient.

[0080] 3. This invention enables the system to automatically adjust its decision-making strategy based on historical data and real-time feedback through machine learning algorithms, so as to adapt to the dynamics of environmental changes and network demands. Furthermore, the energy efficiency management module and dynamic power control strategy enable the equipment to adjust power usage according to actual and environmental conditions, effectively reducing energy consumption and providing significant economic and environmental benefits in application scenarios with high energy costs and strict environmental requirements. Attached Figure Description

[0081] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0082] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0083] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0084] The present invention will now be described in detail with reference to the accompanying drawings:

[0085] Example 1:

[0086] Please see the appendix Figure 1 This invention provides a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0087] Network environment monitoring: When the device starts up, a central server is used to analyze the network signal strength and network quality;

[0088] Unified data encapsulation: All data is uniformly encapsulated and encoded through a central server to ensure data compatibility under different communication methods;

[0089] Centralized data transmission: Data is uniformly scheduled through a central server, and whether it is power line carrier or wireless, it is routed through the server;

[0090] Centralized error handling: The central server is responsible for error detection and correction across the entire network, and handles the retransmission of erroneous data in a unified manner;

[0091] Network status-driven communication switching: The central server decides whether to switch communication methods based on the network status to ensure the continuity and stability of data transmission;

[0092] Centralized resource management: The server dynamically adjusts resource allocation and priority based on the task importance and communication status of each node;

[0093] In summary, Example 1 improves network manageability and controllability through centralized network management, making it suitable for large-scale network environments with highly centralized management and control. Furthermore, the method leverages the processing power of a central server to enhance network performance and stability.

[0094] Example 2:

[0095] Please see the appendix Figure 1 This invention provides a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0096] Local network environment monitoring: Each device independently monitors its own surrounding network environment and autonomously applies communication methods with strong signals and high network quality;

[0097] Device-independent data encapsulation: Each device independently encapsulates and encodes data according to its chosen communication method;

[0098] Point-to-point data transmission: Data is transmitted directly from the source device to the target device via a selected communication method, without the intervention of a central server.

[0099] Local error handling: Each device handles errors in data transmission independently, performing local data retransmission and error correction;

[0100] Adaptive to communication switching: The device automatically switches communication methods based on real-time local network conditions, avoiding the intervention of the central server;

[0101] Autonomous resource management: Each device independently manages its resources and communication priorities based on actual conditions and network status;

[0102] In summary, Example 2 employs a distributed intelligent management strategy to improve network flexibility and scalability. This method is suitable for dynamically changing environments and can quickly respond to changes in various network conditions, making it applicable to scenarios where nodes are widely distributed and network conditions are highly variable.

[0103] Example 3:

[0104] Please see the appendix Figure 1 This invention provides a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0105] User preference settings: Users set their preferences when the device starts up, whether to use power line carrier communication or wireless communication;

[0106] Preference-driven network environment monitoring: The device focuses on monitoring priorities and enhances the detection of wireless signals based on user-defined preferences;

[0107] Data encapsulation for preference adjustment: The data encapsulation strategy is improved based on user preferences;

[0108] Preference-optimized data transmission: Adjust transmission strategies based on user preferences and automatically switch to wireless unless the user explicitly prefers otherwise;

[0109] Error handling combined with user feedback: User feedback is considered during error handling, and retransmission strategies or communication methods are adjusted accordingly.

[0110] User interface interaction and communication adjustment: The user interface allows users to view network status and communication methods in real time, and allows users to adjust their preferences at any time;

[0111] In summary, Example 3 uses user-defined preferences to drive adjustments to communication strategies, thereby increasing the user's sense of control over device communication behavior and enhancing the personalized experience.

[0112] Example 4:

[0113] Please see the appendix Figure 1 This invention provides a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0114] Environmental parameter monitoring: The equipment continuously monitors environmental parameters to avoid affecting the performance of power line carrier and wireless communication;

[0115] Environment-driven communication method selection: dynamically based on monitored environmental parameters;

[0116] Environmentally Adaptive Data Encapsulation: Adjusting data encapsulation strategies to adapt to different environments and reduce error rates;

[0117] Adaptive transmission adjustment: Adjusting transmission parameters according to environmental changes;

[0118] Error handling due to environmental changes: Implement specific error handling strategies when communication failures occur due to environmental changes;

[0119] Environmentally aware communication switching: When a change in environmental conditions is detected that would cause a communication interruption, the communication mode is automatically switched;

[0120] In summary, Example 4 optimizes communication through environmental awareness, enabling communication strategies to flexibly respond to various environmental changes. This method can effectively improve the stability and reliability of communication when used in scenarios with complex or frequently changing environmental conditions.

[0121] Example 5:

[0122] Please see the appendix Figure 1 This invention provides a dual-mode communication method based on power line carrier and wireless communication, comprising the following steps:

[0123] Autonomous learning network environment: The device learns the characteristics of the network environment autonomously through machine learning algorithms;

[0124] Intelligent data encapsulation: Based on the learned network environment characteristics, intelligently adjust the data encapsulation strategy and encoding scheme to improve data transmission efficiency and reliability;

[0125] Adaptive transmission optimization: Based on learned network characteristics, it autonomously adjusts transmission protocols and parameters to adapt to different network environments;

[0126] Intelligent error handling: Utilizes machine learning algorithms to identify error patterns in communication and dynamically adjusts error handling strategies to improve the efficiency of error detection and correction;

[0127] Learning-driven communication switching: Based on historical data and real-time learning results, the system autonomously decides whether to switch communication methods;

[0128] Autonomous learning network management: The device optimizes resource allocation and communication priorities through an autonomous learning network management system to improve overall network performance;

[0129] In summary, Example 5 employs a self-learning method, enabling devices to autonomously learn network environment characteristics and communication effects, thereby achieving intelligent communication optimization and decision-making. This method has strong adaptability and intelligence, and can flexibly cope with various complex network environments and communication requirements.

[0130] Design an experiment:

[0131] Comparative Experiment 1:

[0132] Experimental objective: To compare the stability of power line carrier and wireless communication methods under different network quality conditions;

[0133] Experimental setup:

[0134] Environment 1: High electromagnetic interference environment (industrial area);

[0135] Environment 2: Low electromagnetic interference environment (residential area);

[0136] Parameters: Transmission rate (Mbps), error rate (%), latency (ms);

[0137] Experimental steps:

[0138] S1. Preparation Phase:

[0139] The same equipment, equipped with power line carrier and wireless communication capabilities, is installed in both high electromagnetic interference environments (such as industrial areas) and low electromagnetic interference environments (such as residential areas).

[0140] S2. Configure network monitoring tools:

[0141] Configure network analysis software to monitor and record transmission rates, error rates, and latency;

[0142] S3. Conduct the test:

[0143] In high electromagnetic interference environments (such as industrial areas) and low electromagnetic interference environments (such as residential areas), power line carrier and wireless communication are started respectively, transmitting data packets of the same capacity and type, and each communication method is run for at least 24 hours to collect sufficient data;

[0144] S4. Data Collection:

[0145] Record the performance indicators of communication methods in high electromagnetic interference environments (such as industrial areas) and low electromagnetic interference environments (such as residential areas);

[0146] S5. Data Analysis:

[0147] Compare and analyze transmission rates, error rates, and latency under different environments and communication methods.

[0148] Experimental data table:

[0149] environment Communication methods Transmission rate (Mbps) Error rate (%) Delay (ms) High interference Power line carrier 1 5.0 50 High interference Wireless communication 0.2 10.0 30 low interference Power line carrier 2.4 2.0 40 low interference Wireless communication 0.5 3.0 20

[0150] Comparative Experiment 2:

[0151] Experimental objective: To evaluate the switching efficiency and data integrity of dual-mode communication versus single-mode communication when network conditions change dynamically;

[0152] Experimental setup:

[0153] Condition: The quality of the simulated network suddenly deteriorates (e.g., from low interference to high interference);

[0154] Parameters: handover delay (ms), data loss rate (%), post-communication stability score (1-10);

[0155] Experimental steps:

[0156] S1. Simulate changes in network conditions:

[0157] Set up an experimental environment to simulate a sudden drop in network quality;

[0158] S2. Configure communication equipment:

[0159] Set up dual-mode communication equipment and equipment using a single communication method (power line carrier and wireless communication) on the same experimental platform;

[0160] S3. Start baseline communication:

[0161] Communication must begin under stable network conditions to ensure stable equipment operation;

[0162] S4. Implement network condition changes:

[0163] Intentionally causing a degrade in network quality (e.g., by interfering with signals or adjusting network equipment settings);

[0164] S5. Monitor communication handover response:

[0165] Record the speed at which various devices respond to network changes, the data loss rate, and the communication stability;

[0166] S6. Data Collection and Analysis:

[0167] Collect latency, data loss rate, and subsequent stability data during the handover process;

[0168] Compare the performance of the devices during communication switching.

[0169] Experimental data table:

[0170] Add changes Communication methods Switching delay (ms) Data loss rate (%) Stability rating Network quality degraded Dual mode communication 100 0.5 9 Network quality degraded Power line carrier 300 2.0 6 Network quality degraded Wireless communication 250 1.5 7

[0171] Comparative Experiment 3:

[0172] Experimental objective: To compare the energy efficiency of dual-mode communication methods and single-mode communication methods under different communication environments;

[0173] Experimental setup:

[0174] Conditions: Operate 24 / 7 and record average power consumption;

[0175] Parameters: Average power consumption (Watts), communication effectiveness (data transmission volume / energy consumption);

[0176] Experimental steps:

[0177] S1. Prepare experimental equipment:

[0178] Configure devices with dual-mode communication capabilities and devices with a single communication method;

[0179] S2. Configure energy consumption monitoring tools:

[0180] Install power meters to measure the energy consumption of each device;

[0181] S3, Long-term operation test:

[0182] The equipment was run continuously for seven days in the same network environment to ensure the breadth and accuracy of the data.

[0183] S4, Data Recording:

[0184] Track and record the average power consumption of each device;

[0185] S5, Performance Evaluation:

[0186] Calculate communication efficiency, i.e., the amount of data transmitted per unit of energy consumption;

[0187] S6. Results Analysis:

[0188] Compare the energy efficiency and communication effectiveness of various communication methods.

[0189] Experimental data table:

[0190] Communication environment Communication methods Average power consumption Communication effectiveness (MB / J) conventional Dual mode communication 5 6.0 conventional Power line carrier 7 4.5 conventional Wireless communication 6 5.0

[0191] Summary of Comparative Experiment 1: In high electromagnetic interference environments, power line carrier exhibits higher transmission stability and lower error rate. In low interference environments, wireless communication shows a significant performance improvement, demonstrating higher transmission rate and lower latency. Furthermore, the advantages of both can be combined through a dual-mode communication method: power line carrier is automatically prioritized in high interference environments, while wireless communication is switched to take advantage of its high speed and low latency in low interference environments.

[0192] Summary of Comparative Experiment 2: Under simulated network quality degradation conditions, the dual-mode communication system can quickly and effectively switch from one communication mode to another, showing lower switching latency and lower data loss rate. This indicates that the dual-mode communication system can maintain communication quality well when the network environment is unstable. In contrast, the single communication mode performs poorly in terms of switching response and data integrity.

[0193] Summary of Comparative Experiment 3: The dual-mode communication method demonstrates high energy efficiency in long-term operation tests, that is, it maintains low power consumption and high communication effectiveness in different communication environments. This reflects that the dual-mode communication system can dynamically optimize its energy consumption according to actual communication conditions. Compared with devices using a single communication method, the dual-mode communication system can utilize energy more efficiently.

[0194] Overall viewpoint: Through three sets of comparative experiments, the dual-mode communication system demonstrates significant advantages in network stability, communication switching efficiency, and energy efficiency. Furthermore, the experimental results emphasize the adaptability and efficiency of the dual-mode communication method in the face of different network conditions and environmental changes, making it a powerful solution for modern communication needs.

[0195] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A dual-mode communication method based on power line carrier and wireless communication, characterized in that, Includes the following steps: S1. When the device starts up, it detects the network environment and configures a communication method with strong signal and high network quality based on the detection results. S2. Encapsulate the data to be sent using the appropriate communication method, and then transmit the data through the corresponding physical layer interface after the data encapsulation is completed. S3, Dynamic Data Encapsulation and Transmission: Data encapsulation strategy: The data encapsulation and encoding strategy is dynamically adjusted according to the communication method. For power line carrier, forward error correction coding for high noise is used. Adaptive Transport Protocol: Introducing an adaptive transport protocol that dynamically adjusts packet size and transmission rate based on network conditions to optimize bandwidth usage and reduce transmission latency; S4. Error handling and adaptive retransmission strategy: Error Detection and Response: Design an error detection system and utilize advanced error correction techniques; Adaptive retransmission: Automatically adjusts the retransmission strategy based on error type and frequency, using the optimal retransmission time and retransmission data path. S5, seamless switching technology for communication methods: Seamless handover module: Develop a seamless handover module that allows for a smooth transition between power line carrier and wireless communication, minimizing data loss and communication interruption during handover; Switching decisions: Switching decisions are based on real-time performance assessments and predicted network conditions, combined with weather forecasts and big data analysis; S6. Multi-node coordination and network management: Network Management System: Implement a network management system to adjust the communication priorities and resource allocation of each node; Distributed algorithms: Optimizing network data flow using distributed algorithms; S7. Energy Efficiency Management and Environmental Adaptability: Energy efficiency management module: Adjusts communication mode based on device power status and expected quality of service; Dynamic power control: Implements dynamic power control for power line carriers and wireless modules to adapt to the energy efficiency requirements of various environments.

2. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In step S3, the implementation steps of the adaptive transmission protocol are as follows: Step 1: Network condition monitoring: Regularly or continuously monitor the network bandwidth, latency, and packet loss rate by installing sensors or using software tools to obtain data from the physical and network layers. The second step is dynamic parameter adjustment: Based on the monitored network conditions, the optimal data packet capacity and transmission rate are determined through a preset algorithm. At the same time, the coding strategy is adjusted to take into account the characteristics of power line carrier communication in high-noise environments. Step 3: Data packet encapsulation and encoding: Encapsulate the data and encode it according to the encoding strategy; Step 4, Transmission Adjustment Execution: Transmit the encapsulated and encoded data packets through the physical layer interface, and monitor the performance of the transmission process in real time. Step 5, Performance Feedback Loop: Collect performance feedback after transmission, and adjust algorithm parameters based on data feedback to improve the transmission plan.

3. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In S3, the adaptive transmission protocol implementation steps include a bandwidth estimation formula, a forward error correction coding rate formula, and a data packet capacity adjustment formula. The bandwidth estimation formula is as follows: Where B(t) is the bandwidth estimate at time t, L is the data packet length, RTT is the round-trip time, and R is the transmission rate. The formula for the forward error correction coding rate is: Among them, FEC rate E represents the coding rate for forward error correction. b / N0 is the ratio of bit energy to noise power spectral density, and SNR is the signal-to-noise ratio; The data packet capacity adjustment formula is: P size =f(B(t),Delay target Loss rate ), where P size This is the adjusted data packet size, Delay target It's a target delay, Loss rate It is the packet loss rate, and f is a function that adjusts the packet capacity based on network metrics.

4. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In step S4, the specific implementation steps of the error detection system are as follows: Step 1: Error Detection Mechanism Design: Design and integrate error detection technology, and apply error detection algorithms to the received data packets to determine whether there are transmission errors; Step 2, Error Data Identification: When an error is detected, the erroneous data packet is identified, and the error type and its position in the data stream are recorded; Step 3: Error Reporting: Feedback the error information to the transmission control center; Step 4: Dynamic Error Correction: Using error correction algorithms, the detected errors are corrected. Step 5: System performance tuning: Adjust the parameters of the transmission protocol according to the pattern and frequency of error occurrence; Step 6: Real-time monitoring and feedback loop: Continuously monitor the overall performance of the system and adjust error detection and correction strategies based on system performance feedback.

5. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In step S4, the implementation steps of the error detection system include cyclic redundancy check (CRC), and the CRC algorithm formula is as follows: Where Data is a data block, 2 n This indicates that the Divisor is a predefined polynomial based on the number of CRC bits.

6. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, The specific implementation steps of the seamless switching technology in S5 are as follows: Assess available communication networks and measure signal strength, network quality, and bandwidth when communication begins and devices are started. Continuously monitor network signal strength, network congestion, data transmission rate, and error rate; Define clear network performance thresholds; when the signal strength drops to the corresponding level or the data packet loss rate exceeds the preset value, network handover is triggered. The seamless switching module is activated based on the switching trigger conditions; Before switching, synchronize or store the current transmission status and data; During the handover process, the data buffer and transmission rate are dynamically adjusted to adapt to the characteristics of the new network; After the switchover is complete, optimize the configuration of the new network to improve performance and stability.

7. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In S5, the implementation steps of seamless handover technology include signal quality assessment formula, network stability assessment formula, multi-factor decision formula, and handover trigger threshold formula. The signal quality evaluation formula is: Q s = w1·RSSI + w2·SNR, where Q s The signal quality score is represented by RSSI (Received Signal Strength Indicator), SNR (Signal-to-Noise Ratio), and w1 and w2 are weighting factors. The network stability assessment formula is as follows: Among them, S n It is a network stability indicator, where x is the network parameter being measured and θ is the parameter threshold. The multi-factor decision-making formula is: DecisionScore=α·Q s +β·S n +γ·U, where DecisionScore is the score used to determine whether to switch networks, U represents the user-specific score, and α, β, and γ are the weights used to balance the influence of each score factor; The formula for the switching trigger threshold is: Here, Trigger represents the binary output of whether to trigger a handover, and T is a predetermined handover decision score threshold.

8. The dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In step S6, the specific implementation steps of the network management system are as follows: Identify the available nodes in the network and build a database of nodes; Evaluate communications within the network; Prioritization rules should be established based on the importance of nodes and the urgency of tasks. Develop resource allocation strategies to balance high-priority tasks and overall network efficiency; The dynamic resource management module dynamically adjusts resource allocation based on real-time network conditions and node status. Continuously monitor the network's operational status, node communication efficiency, data latency, and packet loss rate; Apply distributed algorithms to improve data flow and enhance network collaboration. Implement redundancy mechanisms, data replication, and automatic failover; An integrated energy efficiency management module adjusts the communication mode based on the node's energy consumption and service quality.

9. A dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, In S6, the distributed algorithm formula is: Where, x i R represents the resource allocation for the i-th node, R is the total resource, and N is the total number of nodes requesting resources.

10. A dual-mode communication method based on power line carrier and wireless communication according to claim 1, characterized in that, The S7 implementation steps include a dynamic power control algorithm, an energy efficiency optimization algorithm, and an environmental adaptability algorithm. The power control algorithm is: P out =P in -L total , P tx =min(P max ,P tx，prev +γ(S target -S measured ), where P out It is the antenna's output power, P in It is the initial input power, L total It is the total transmission loss; The energy efficiency optimization algorithm is as follows: Among them, E used It is the total energy during the time interval t0 to t1, and Pt is the power consumption during that time interval. The environmental adaptation algorithm is: P tx,env =P tx ·f(Env), where P tx,env It is the transmission power adjusted according to environmental factors. f(Env) is a function that adjusts the power output according to environmental conditions to optimize energy efficiency and communication quality.

Images